JP4009670B2 - Component blending design method, component blending design program and recording medium recording the program - Google Patents

Description

The present invention relates to a component blending design method, a component blending design program, and a recording medium on which the program is recorded, and in particular, a plurality of component elements selected from a plurality of component elements in a component blending process of a metal / nonmetal (including semiconductor) material. The present invention relates to a component blending design method for blending component elements to design a material having desired physical properties, a component blending design program, and a recording medium recording the program.
The component blending design of the present invention can be applied to a component blending process using a plurality of component elements regardless of the state of metal and nonmetal. In addition, the present invention enables industrially effective and sufficient physical and chemical performance materials to be freely designed and manufactured using any given component element, and in particular, steel materials and non-ferrous metal materials. -It can be applied to the field of manufacturing inorganic materials and organic materials.

In the past, when manufacturing magnetic alloys in the metal product manufacturing industry, for example, based on past experience, the production method of the desired magnetic alloy based on the magnetization curve, magnetic domain structure and magnetization process of the same type of conventional alloys At the same time, efforts have been made to design highly practical alloys based on electronic state calculations such as the DV-X cluster method and the matrix solution method of eigen equations (see, for example, Non-Patent Documents 1 and 2).
Conventionally, material property evaluation / prediction / design has been performed using atomic radii, electronegativity, valence electron concentration, electron vacancy concentration, and the like as parameters of constituent elements. In recent years, in the alloy design field, the DV-Xα method seeks the energy level and interatomic covalent bond strength of alloy elements by computer simulation for a cluster model.
As a technique related to the present invention, a raw material blending method in a plurality of brand raw material blending processes is disclosed in Patent Document 1, and generally, an optimization method using a computer includes a simplex method, There is a car marker method (see Patent Document 2).
Hirohiko Adachi; Introduction to Quantum Materials Chemistry, Sankyo Publishing, 1991, Hirohiko Adachi, Masahiko Morinaga, Saburo Nasu; Quantum chemistry and quantum alloy design of metal materials, Sankyo Publishing, 1997 JP-A-6-266441 Japanese Patent Laid-Open No. 5-61672

However, in the past, one of the biggest technical issues in the metal product manufacturing industry is the determination of the types of component elements to be used, the mixing ratio, the heat treatment method, etc. There was something immeasurable.
Further, the conventional techniques such as Patent Documents 1 and 2 do not incorporate a program capable of instructing heat treatment conditions.

The present invention is a process of physicochemically pursuing the production of natural metal / non-metallic minerals. The present invention describes the process of producing a substance, whether natural or artificial, explained by the second law of thermodynamics. The development of logic in detail was conceived when considering the application of scientific principles that can be explained by quantum thermodynamics. That is, the generation of a substance is to be clarified as to what kind of quantum thermodynamic state quantities the reaction system and the generation system can be expressed.
The already established thermodynamic concept of entropy has shown how vague quantum thermodynamic state quantities are expressed by the development of quantum mechanics. The present inventor believes that applying such a concept of substance generation to the field of conventional material design, the material design can be expressed as a micro quantum thermodynamic state change of component elements. I went to do it. In other words, it was clarified that the creation of the material is the process of changing the quantum thermodynamic state of the raw material in the manufacturing process. The present inventor has found that it is most useful to determine the quantum statistical state quantities specific to the component elements for material design.

  In view of the above points, the present invention uses the quantum statistics obtained by statistically processing the quantum thermodynamic state quantities inherent to the elements constituting the reaction system, and the number of elements constituting the reaction system or the composition By selecting only materials with the same physical properties and the same number of elements with different ratios, deriving multiple simultaneous linear equations with the number of elements constituting the material or more, and finding the solution, the target physics The purpose is to make it possible to design materials of metallic and non-metallic substances with dynamic chemical properties and functions.

The present invention further achieves the following objects, for example.
(1) Regardless of the type of material, use the indicated component elements to design and manufacture new materials that are expected to have the desired physical and chemical performance. (2) Pre-processing in the design of magnetic alloys (3) It can be proposed that the element has a quantum statistical periodicity as well as a chemical periodicity (4) High tensile properties, vibration suppression (seismic) ) Providing software that guarantees each property or performance, such as properties, heat resistance, magnetic properties, non-magnetic properties, non-rust properties, machinability, superplasticity, semiconductivity, vitrification, light-emitting properties, and light-receiving properties (5) Compared to conventional material design and development, it is possible to save much labor and resources, and to develop and improve materials with targeted properties and performance in a short time (6) Using environmentally friendly industrial waste such as metals and non-metals Make effective use of them from the point of view of resource use, such as possible to achieve the creation of a new type of industry to manufacture a new industrial materials and construction materials, etc.

In particular, the present invention introduces a new concept of quantum statistics of various component elements that constitute metallic and nonmetallic materials. Furthermore, the present invention derives a constraint equation having the quantum statistical value as an input constant and the compounding ratio of each element as an input variable, and calculates an input variable that applies to the target quantum statistical value. Further, the present invention realizes component blending design in the component blending process of materials having different component blends, based on the calculation result.
The present invention also provides a target quantum statistic value represented by a constraint equation in which a quantum statistic value of an element constituting a reaction system is an input constant, and a sum of products of both elements having a variable component composition ratio of the element, that is, an expectation One of the characteristics is to obtain a compounding ratio satisfying an industrially effective and sufficient physical and chemical performance value of the material to be obtained as a solution.

According to the first solution of the present invention,
The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, the element data file heat of fusion and melting point are stored for each element identifier, by calculating the quantum statistics reads the heat of fusion and melting points of each component element follow each element identifier is input, the input quantum statistics _{a 1, a} 2 of each element identifier, ..., and setting a _{a n,}
Processing unit, the following constraint equation, the compounding ratio x ₁ component represented by each element _{identifier, x} 2, _..., determining a combination of x _n,
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
A component blending design method for causing a computer to execute these steps, and a computer-readable recording medium on which the program is recorded are provided.
According to the second solution of the present invention,
The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, the element data file heat of fusion and melting point are stored for each element identifier, by calculating the quantum statistics reads the heat of fusion and melting points of each component element follow each element identifier is input, the input quantum statistics _{a 1, a} 2 of each element identifier, ..., and setting a _{a n,}
The processing unit obtains a combination of the compounding ratios x _1, x ₂ ,..., X _n of the components represented by the respective element identifiers according to the following constraint equation:
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
A component blending design method for causing a computer to execute these steps, and a computer-readable recording medium on which the program is recorded are provided.

According to the present invention, as described above, the state quantity obtained by processing the quantum statistics statistically of the elements constituting the reaction system is used, and the number of elements constituting the system or the mixing ratio is different. By selecting only materials with the same physical properties of the same number of elements, formulating a multiple simultaneous linear equation with the number of elements constituting the material or more, and solving it, the target physicochemical Enables material design of metallic and non-metallic materials with properties and functions.
Further, the present invention has the following effects, for example.
(1) The ability to design and manufacture new materials that are expected to have the desired physical and chemical performance using the indicated component elements, regardless of the type of material (2) In designing magnetic alloys (3) It can be proposed that the element has a quantum statistical periodicity as well as a chemical periodicity (4) High tensile properties and vibration suppression (Seismic), heat resistance, magnetic, non-magnetic, non-rusting, machinability, superplasticity, semiconductivity, vitrification, light emission, light reception, etc. ) Compared to conventional material design and development, it is possible to save much labor and resources, and to develop materials with targeted properties and performance in a short time. (6) Various metals・ Environmental conservation using non-metallic industrial waste And make effective use of them from the point of view of resource use, such as possible to achieve the creation of a new type of industry to manufacture a new industrial materials and construction materials, etc.

1. Quantum statistics and constraint equation 1-1. Quantum statistics First, quantum statistics used in the embodiment of the present invention will be described. The quantum statistics value represents a quantum state of microscopic particles when an element is melted, and is a dimensionless value related to melting of each component element and a mixed metal / nonmetal (including semiconductor) material.
As a first example of a quantum statistic, the thermodynamic probability (weight ratio) W or lnW of the Boltzmann equation can be set as follows. InW represents, for example, the (statistical) thermodynamic state of an element in the molten state.
lnW = Q ₁₂ / (kT)
= Q ₁₂ /(T×1.3807×10 ⁻²³ )
= 0.724 × 10 ²³ × Q ₁₂ / T
W = exp [Q ₁₂ / (kT)]
However,
Q ₁₂ : amount of heat (heat of fusion) required to change from state 2 (solid) to state 1 (liquid) (per mole (mol) or per gram (g))
k: Boltzmann constant (= 1.38066 × 10 ⁻²³ J / K)
T: Temperature (melting point) from state 2 to state 1
As a second example of the quantum statistic, the heat of fusion Q _g per unit weight or Q _g lnT (where T is the melting point) can be used. Furthermore, as a third example of the quantum statistic, the heat of fusion per unit mole Q _m or Q _m lnT (where T is the melting point) can be used.

Hereinafter, the derivation of W in the first example will be described.
Clapeyron-Clausius equation Q ₁₂ = T (dP / dT) (v ₂ −v ₁ ) (1)
Is integrated
Q ₁₂ lnT + c = P (v ₂ −v ₁ ) + c ^* (2)
_{Q 12 lnT-P (v 2} -v 1) = c * -c = C ...... (3)
However,
Q ₁₂ : amount of heat (heat of fusion) required to change from state 2 (solid) to state 1 (liquid) (per mole (mol) or per gram (g))
T : Temperature (melting point) from state 2 to state 1
P : Pressure of surrounding gas v ₁ , v ₂ : molecular volume (= molecular weight / specific gravity or molecular weight / density)
C, c ^* , c: integral constant In the equation (3), if v ₂ ≈v ₁ , then Q ₁₂ lnT = C (4)
Also, Boltzmann's equation S = klnW (5)
(Where S: entropy, W: quantum statistics, k: Boltzmann constant)
Thus, since S = Q ₁₂ / T, the following equation is obtained.
Q ₁₂ = T · k · lnW (6)
Therefore, it can be seen from the equation (6) that the value W of the microscopic quantum state per mole of the component element in the molten state is directly proportional to the heat of dissolution and inversely proportional to the melting point.

1-2. Constraint formula The constraint formula in the compounding design of metallic and non-metallic materials is as follows.
_{a 1 x 1 + a 2 x} 2 + a 3 x 3 + ...... + a n x n = f 1
However,
_{a 1, a 2, a 3} , ..., a n: input constant f quantum statistics: target quantum statistics _{x 1, x 2, x 3} , ......, x n: input variables indicating the mixing ratio of each element (= Atomic% or wt% by blending ratio)
The constraint condition can be determined as follows, for example.
0 ≦ x ₁ ≦ 100, 0 ≦ x ₂ ≦ 100..., 0 ≦ x _n ≦ 100
And x ₁ + x ₂ + x ₃ + …… + x _n = 100
The proportion _x 1 of each _component, x 2, ..., the lower limit constraint value _{x 1} of _{x n, min,} it is possible to determine the upper limitation value _{x 1, max.} Furthermore, the constraint value of the compounding ratio is
α ₁ x ₁ + α ₂ x ₂ +... + α _n x _n <α _T (or> α _T , = α _T, etc.)
β ₁ x ₁ + β ₂ x ₂ +... + β _n x _n <β _T (or> β _T , = β _T, etc.)
・ ・ ・ ・ ・ ・
In addition to a linear function such as the above, a constraint condition for specifying a region can be determined by an appropriate function. Note that x _n may be a positive integer including 0 or a decimal number up to two decimal places in consideration of the calculation amount.
The combination of each component element with respect to x _n is 2 ⁿ −1. As for f, there are about 4,000 kinds of typical minerals currently observed on the earth.

Here, the f value has a unit of eV or cal (or erg, joule, etc.), and takes the value of a characteristic region for each material as exemplified below.
-Light receiving / light emitting element (eg, 100 to 400 cal)
・ Hard magnet (eg, 300-800, processing, casting, quench hardening)
・ Stainless steel (eg, 750-820)
-Superconductor (eg, 1500-5000)
・ Cermet (eg, 1200-7000)

2. Hardware FIG. 1 is a hardware configuration diagram according to the present embodiment.
This hardware includes a processing unit 1, which is a central processing unit (CPU), an input unit 2, an output unit 3, a display unit 4, and a storage unit 5. Further, the processing unit 1, the input unit 2, the output unit 3, the display unit 4, and the storage unit 5 are connected by appropriate connection means such as a star or a bus. The storage unit 5 includes a theme file 51, a characteristic data file 52, an element data file 53, a calculation result file 54, and a search output file 55.

The theme file 51 stores a theme of component blending design of a metal or non-metal material. The property data file 52 stores material property data corresponding to the theme identifier. The element data file 53, quantum statistics corresponds to element identifiers (or thermodynamic or quantum thermodynamic data, or, thermodynamic or quantum thermodynamic _{statistics) a 1, a 2, ...} , a _n is stored. The element data file 53 may store the melting point and heat of fusion for each element identifier. Furthermore, the element data file 53 may store option data indicating characteristics such as price and specific gravity for each element identifier. The calculation result file 54 stores a combination of compounding ratios for each element identifier of the compounding component and a target quantum statistical value f. The calculation result file 54 may further store the blending option data B corresponding to the combination of the blending ratios for the respective element identifiers of the blending components obtained as necessary. As will be described later, the blending option data B is data calculated based on a predetermined blending ratio regarding option data such as price and specific gravity. The search output file 55 stores a combination of blend ratios that matches the input selection conditions. The search output file 55 may include formulation option data B.
FIG. 2 is an explanatory diagram of the element data file. In this example, the element name, lnW (× 10 ²³ ), W, etc., which is one of the quantum statistics values, are stored as necessary in correspondence with the element identifier.

3. Component Blending Design FIG. 3 is a flowchart of a first embodiment of a component blending design method for metallic or non-metallic (or semiconductor) materials.
The processing unit 1 refers to the theme file 51 in which the component blending design theme of metal or non-metal material is stored, and displays a list of themes to be designed on the display unit 4 (S101).

FIG. 4 shows an example of an explanatory diagram of the theme display screen.
Next, in the processing unit 1, the operator inputs a theme identifier representing a theme selected from the theme list by the input unit 2 (S103). In the input operation, a predetermined position on the theme display screen is clicked with a pointing device, or a theme number (A, B1, B2,...) Is input. The processing unit 1 refers to the property data file 52 in which the material property data is stored corresponding to the theme identifier, reads the material property data according to the selected theme identifier, and displays it on the display unit 4 (S105). .

FIG. 5 is an explanatory view of a display screen of characteristic data of metal / nonmetal and semiconductor materials in general. In this figure, the target quantum statistics value f of each material is shown.
FIG. 6 is an explanatory diagram of a display screen of characteristic data of the light receiving element (entire visible light region). In this figure, the target quantum statistical value f with respect to the light receiving wavelength of each material is shown.
FIG. 7 shows an explanatory diagram of a display screen of characteristic data of the light emitting element. In this figure, the target quantum statistical value f with respect to the emission wavelength of each material is shown.

FIG. 8 is an explanatory diagram of a display screen for the characteristic data of the damping alloy. In this figure, the target quantum statistical value f with respect to the tensile strength of each material is shown.
FIG. 9 is an explanatory diagram of a display screen of characteristic data of infrared transmitting chalcogen glass. In this figure, the target quantum statistical value f with respect to the softening temperature of each material is shown.
FIG. 10 is an explanatory view of a display screen of the characteristic data of the superconductor. In this figure, the target quantum statistical value f with respect to the critical temperature of each material is shown.

A target quantum statistic value f of the component compounding material that is a target is input from the input unit 2 to the processing unit 1 (S107). As the target quantum statistical value f, an operator can appropriately input a value for designing a desired compounding material based on data (including graphs, figures, and numerical values) displayed on the display unit 4. Next, the element identifier showing the component element to mix | blend is input into the process part 1 from the input part 2 (S108). An element name may be input as the element identifier. The processing unit 1 sets a quantum statistical value in accordance with each input element identifier (S109). For example, in step S109, the processing unit 1, quantum statistics a _{1, a} 2 corresponds to element identifier, _..., elemental data file 53 a _n are stored, the quantum statistics accordance input element identifier read out.
In step 109, thermodynamic and quantum thermodynamic data for each element identifier is stored in advance in the element data file 53, and the processing unit 1 stores the data for each component element read from the element data file 53. A quantum statistic may be calculated based on this. Further, the processing unit 1 may set a quantum statistical value according to the input element identifier and store it in a file in an appropriate storage unit 5. Alternatively, in step S109, the processing unit 1 stores the melting point T and heat of fusion for each element identifier in the element data file 53, and calculates the melting point and heat of fusion of the component elements according to the element identifier input from the element data file 53. You may make it read and calculate a quantum statistics value and set a quantum statistics value.
Then, the processing unit 1, the mixing ratio of the element identifier and its components of the formulation ingredients following constraint equation holds _{x 1,} x 2, ..., determine a combination of _{x n} (S111).
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
In this case, the blending ratio of the components _{x 1,} x 2, ..., the lower limit constraint value _{x 1} of _{x n, min,} it is possible to determine the upper limitation value _{x 1, max.} Furthermore, the constraint value of the mixture ratio is α ₁ x ₁ + α ₂ x ₂ +... + Α _n x _n <α _T (or ≦ α _T , ≧ α _T ,> α _T , = α _T, etc.) In addition to functions, it is possible to define a constraint condition for specifying a region with an appropriate function. Moreover, in order to avoid that the combination of mixing ratio is calculated | required very much, you may make it calculate in predetermined | prescribed restrictions, for example, every 1%, and appropriate calculation steps, such as 2%-several% increments. Such constraint conditions may be determined as appropriate from the input unit 2 or may be stored in the storage unit 5 in advance.

The processing unit 1 stores the combination of the obtained blending ratio for each element identifier of the blending component and the target quantum statistical value f in the calculation result file 54 (S115).
Next, the operator inputs a selection condition for selecting a predetermined combination ratio from the input unit 2 to the processing unit 1 (S117). As the selection condition, for example, an appropriate condition such as a condition for designating which element is to be mixed in a larger or smaller ratio, a limit value / range of the blending ratio, or the like can be specified. Note that a plurality of selection conditions may be specified by a logical expression as necessary. Next, the processing unit 1 refers to the calculation result file 54, selects or rearranges (sorts) the combination ratios that match the input selection conditions, and stores them in the search output file 55 as search output data. Or it displays on the display part 4 (S119).

FIG. 11 is an explanatory diagram for displaying the search output. In this example, the quantum statistics of each of the elements A1 to A8 and the target quantum statistics f are shown in the upper part, and the blending ratio and reference number are shown in the lower part. In addition, the number of hits for the condition is shown.
In step S107 for inputting the target quantum statistical value f, the processing unit 1 inputs an upper limit and / or a lower limit constraint value (for example, + α and −α or + α and −β) of the target quantum statistical value f. You may further input from the part 2. FIG. At this time, in step S111 for obtaining a combination, the processing unit 1 can select one that falls within the range of the target quantum statistics value in which the upper limit constraint value and / or the lower limit constraint value is set.
Also, quantum statistics a _{1, a} 2, _..., as the a _n, for example, as described above, can be used the following values.
LnW = Q ₁₂ /(T×1.3807×10 ⁻²³ ) = Q ₁₂ /(kT)=0.724×10 ²³ × Q ₁₂ / T (where Q ₁₂ is a unit weight or per mole) Heat of fusion, k is Boltzmann constant, T is melting point),
W = exp [Q ₁₂ / (kT)] (where Q ₁₂ is the heat of fusion per unit weight or mole, k is the Boltzmann constant, and T is the melting point)
- per unit mass of the heat of fusion _{Q g, or,} Q g lnT (However, T: melting point)
- Units per mole heat of fusion _{Q m, or,} Q m lnT (However, T: melting point)
etc.

  Furthermore, the element data file 53 does not store the quantum statistics for each element identifier in advance, but stores necessary data for obtaining the quantum statistics such as the melting point T and the heat of fusion for each element identifier. You can also. In this case, the processing unit 1 refers to the element data file 53 and calculates a quantum statistical value for each component element based on data such as the melting point T and the heat of fusion, and calculates the quantum statistical value corresponding to the element identifier. The method may further include a step of further storing. The calculation of the quantum statistics value may be performed by the processing unit 1 in advance in an appropriate process for all or almost all elements, or as necessary when components are selected in step S108. May be.

は新規なステンレス快削鋼の一例である。
この鋼の固溶化熱処理温度は、各化学成分の融点にその重量％の100分の１を乗じたものの総和を求め、例えば、それに温度係数0.695を乗じて得られる温度959℃を基準に、900℃ないし1050℃で溶化後急冷し冷間加工する。さらにその後、例えば、固溶化熱処理温度959℃に温度係数0.5を乗じて得られる温度479℃で空冷する。得られるステンレス鋼の比重は6.35であり、従来のニッケルを含む通常のステンレス鋼の比重7.64と比較すると16.9％も軽くなる。
また、枯渇するニッケル資源を豊富なアルミニウム資源で代替できるという利点がある。
[計算方法]
制約式
ｆ＝Ｃ*ｘ_１＋Ｓｉ*ｘ_２＋Ｍｎ*ｘ_３＋Ｐ*ｘ_４＋Ｓ*ｘ_５＋Ａｌ*ｘ_６＋Ｃｒ*ｘ_７＋Ｆｅ*ｘ_８
に元素別量子統計値表より化学成分のｆ値を代入し、
ｆ＝19.91*ｘ_１＋15.41*ｘ_２＋6.87*ｘ_３＋5.73 *ｘ_４＋2.31*ｘ_５＋8.26*ｘ_６＋5.21*ｘ_７＋5.97*ｘ_８
多元一次方程式の解法についての汎用計算用ソフトを使ってｆ＝617.8を満足するｘ_ｎ値を計算する。多数の解の中から、製造目的にかなうものを選ぶ。上の例はその一つである。

（２）耐熱材料
軽量であるが製造技術が複雑なSi_４N_３に代わり、溶解法で製造できる耐熱材料が期待される。そこでSi_４N_３と同程度の曲げ強度をもつ耐熱材料としてSi−Zr系材料が期待される。図５のサーメットのうち、窒化珪素の量子統計値ｆ値に近いSi−Zr系材料のｆ値を探すとｆ＝1197.1が適当である。そのため、ＳｉおよびＺｒの配合比を求めるには元素別量子統計値表よりＳｉ及びＺｒのｆ値を明細書に記載される制約式に代入し、より目的にかなったＳｉ及びＺｒの重量％を多数の解の中から選択する。
下記は、求められた化学成分重量％の一例である。
ｆ=Ｓｉ(15.41)*ｘ_１＋Ｚｒ(7.82)*ｘ_２

この材料の固溶化熱処理温度は、例えば、(１)に記した方法で求める1119℃を基準に、1050℃ないし1190℃で急冷する。その後の時効処理条件は、例えば、1119℃に温度係数0.695を乗じて得られる777℃で空冷する。これにより得られる予想室内曲げ強度は90〜100Kg/mm^２、1000℃曲げ強度は80〜90Kg/mm^２が期待できる。この耐熱材料の比重は3.37、窒化珪素の比重は0.0029であり、したがってその単位体積重量は圧倒的に大きい。
[計算方法]
制約式
ｆ＝Ｓｉ*ｘ_１＋Ｚｒ*ｘ_２
に元素別量子統計値表よりSiおよびZrのｆ値を代入し、
ｆ＝15.41 *ｘ_１＋7.82 *ｘ_２
さらに、ｆ＝1197.1を満足する各化学成分のｘ値を求める。また、高温焼却炉材、耐酸性耐熱材など使用目的により異なりかつ多くの化学成分よりなる耐熱材料のｆ値を設定すれば、多数の解が求まる多元一次方程式の計算ソフトを用いて、目的とする耐熱材料の成分配合設計が可能である。

（３）制振合金
図８は、制振合金の材料設計ｆ値と引張り強さとの関係図である。丸数字の６で示したソノストンは、引張り強さが50〜60Kg/mm^２の現在使用される唯一の制振合金である（例えば、潜水艦のスクリュー材料等に用いられる）。この図を用いてさらに引張り強さの大きい制振合金を設計するには、曲線を外挿し、引張り強さが100Kg/mm^２、量子統計値が６６２±３０となるようなｆ値の制約式を、制振係数が大きい任意の化学成分を選択して立式することが最も良い方法のひとつである。
たとえば制振係数が大きい化学成分としてＭｇ、Ａｌ、Ｍｎ、Ｆｅ、Ｚｎ、Ｃｕを選び、
ｆ＝Ｍｇ*ｘ_１＋Ａｌ*ｘ_２+Ｍｎ*ｘ_３＋Ｆｅ*ｘ_４＋Ｚｎ*ｘ_５
ｆ＝Ｍｇ*ｘ_１＋Ａｌ*ｘ_２+Ｍｎ*ｘ_３＋Ｆｅ*ｘ_４＋Ｚｎ*ｘ_５＋Ｃｕ*ｘ_５
の式を解くことにより、目標に最も近い性能をもつ材料が設計できる。それには、ｆ＝６６２±３０、元素別量子統計値表よりＭｇ＝７．１１、Ａｌ＝８．２６、Ｍｎ＝６．８７、Ｆｅ＝５．９７、Ｚｎ＝６．９７およびＣｕ＝６．９４を上式に代入し、本実施の形態の成分配合設計方法プログラム・方法中の計算ソフトで成分配合比ｘ_１、ｘ_２、ｘ_３、ｘ_４、ｘ_５を求めることが最良である。
このような計算の結果、ｆ値を満足する化学成分１％刻みの合金の種類は前者で1493通り、後者で7652通りとなる。これらの中から製造が容易で価格が安くかつ所定の制振条件を満たすと思われるｘを選択すると、たとえば、

などがある。前者は、固溶化熱処理温度900℃ないし1000℃、２時間水冷で製造される強磁性型合金であり、後者は、600℃ないし700℃、２時間水冷で製造される双晶型合金である。また、予想される比重はそれぞれ6.37および3.11である。
メンテナンスフリーで「静かな材料」というキャッチフレーズで今後の利用が期待される制振合金は、高分子材料やセラミック材料との組み合わせでますます民生・軍事両面での活用が考えられるとされている。 FIG. 12 is a flowchart of the second embodiment of the component blending design method for a metal or nonmetal (or semiconductor) material.
The processing unit 1 executes the same processing as in the first embodiment from step S101 to S111.
After step S111, the processing unit 1 performs option calculation (S213). In this case, the element data file 53 further stores, in advance, option data b _1, b _2, ..., B _n such as price and specific gravity for each element identifier. The compounding ratio x ₁ of the components and elements identifiers determined in step S _{111, x} 2, _..., based on a combination of x _n, processor 1 refers to the element data file 53, formulated options by the following formula Data B is calculated.
b ₁ x ₁ + b ₂ x ₂ +... + b _n x _n = B
The processing unit 1 stores the combination of the obtained blending ratio for each element identifier of the blending component, the target quantum statistical value f, and the blending option data B in the calculation result file 54. Next, the operator inputs a selection condition for selecting a predetermined combination ratio from the input unit 2 to the processing unit 1 (S217).
As the selection condition, for example, a condition for designating which element is to be added or reduced, an appropriate condition such as a limit value / range of the composition ratio, and / or a selection condition including the composition option data B can be designated. . Note that a plurality of selection conditions may be specified by a logical expression as necessary. Next, the processing unit 1 refers to the calculation result file 54, selects or rearranges (sorts) the combination ratio combinations that match the selection conditions including the combination option data B, and stores them in the search output file 55 as search output data. The data is displayed on the storage and / or display unit 4 (S219).
FIG. 13 is an explanatory diagram for displaying the search output. In this example, in addition to the output of FIG. 10, values related to price and specific gravity are displayed as option data.

4). Calculation Example of Material Component Blending Hereinafter, a calculation example of material component blending by the above-described component blending design method / program will be described. Note that the following temperature coefficient, temperature, processing, and the like are merely examples, and are not limited thereto.

(1) Stainless free-cutting steel Nickel and aluminum are interchanged to create a light and austenitic stainless steel with good workability. Specific gravity is 7.64 for conventional nickel and 6.35 for steel. Each chemical component _xn (n = 1-8) is shown in weight% below. Chemical components is the value of x _n obtained using Super in alloy of FIG. 5, a is the constraint described herein than the target quantum statistics 617.8 indicated free-cutting stainless steel (f value). In addition, element data files such as FIG. 2 are set as C = a ₁ , Si = a ₂ , Mn = a ₃ , P = a ₄ , S = a ₅ , Al = a ₆ , Cr = a ₇ , Fe = a ₈ . The value related to the quantum statistic stored in is used. That is,
f = C * x ₁ + Si * x ₂ + Mn * x ₃ + P * x ₄ + S * x ₅ + Al * x ₆ + Cr * x ₇ + Fe * x ₈
The desired x value is selected from a large number of solutions using a calculation software that solves the above. For example

Is an example of a novel stainless free-cutting steel.
The solution heat treatment temperature of this steel is the sum of the melting points of each chemical component multiplied by 1/100 of its weight%. For example, the temperature is 959 ° C. obtained by multiplying it by a temperature coefficient of 0.695. Cold-melt and then cold work after solubilization at ℃ ~ 1050 ℃. After that, for example, air cooling is performed at a temperature of 479 ° C. obtained by multiplying the solution heat treatment temperature of 959 ° C. by a temperature coefficient of 0.5. The specific gravity of the obtained stainless steel is 6.35, which is 16.9% lighter than the specific gravity of 7.64 for conventional stainless steel containing nickel.
In addition, there is an advantage that the exhausted nickel resources can be replaced with abundant aluminum resources.
[Method of calculation]
Constraint equation f = C * x ₁ + Si * x ₂ + Mn * x ₃ + P * x ₄ + S * x ₅ + Al * x ₆ + Cr * x ₇ + Fe * x ₈
Substitute the f value of the chemical component from the quantum statistics table for each element,
f = 19.91 * x ₁ + 15.41 * x ₂ + 6.87 * x ₃ +5.73 * x ₄ + 2.31 * x ₅ + 8.26 * x ₆ + 5.21 * x ₇ + 5.97 * x ₈
The _xn value satisfying f = 617.8 is calculated using general-purpose calculation software for solving the multi-dimensional linear equation. Choose from a number of solutions that meet your manufacturing goals. The above example is one of them.

(2) Heat-resistant material Instead of Si ₄ N ₃ , which is lightweight but complicated in manufacturing technology, a heat-resistant material that can be manufactured by a melting method is expected. Therefore, a Si-Zr-based material is expected as a heat-resistant material having a bending strength comparable to that of Si ₄ N ₃ . Of the cermets in FIG. 5, f = 1197.1 is appropriate when searching for the f value of a Si—Zr-based material close to the quantum statistical value f value of silicon nitride. Therefore, in order to obtain the compounding ratio of Si and Zr, the f value of Si and Zr is substituted into the constraint equation described in the specification from the quantum statistics table for each element, and the weight% of Si and Zr that is more suitable is calculated. Choose from a large number of solutions.
The following is an example of the calculated chemical component weight%.
f = Si (15.41) * x ₁ + Zr (7.82) * x ₂

The solution heat treatment temperature of this material is rapidly cooled at 1050 ° C. to 1190 ° C., for example, based on 1119 ° C. obtained by the method described in (1). Subsequent aging treatment conditions are, for example, air cooling at 777 ° C. obtained by multiplying 1119 ° C. by a temperature coefficient of 0.695. The expected indoor bending strength obtained in this way can be expected to be 90-100 kg / mm ² , and the 1000 ° C. bending strength can be expected to be 80-90 kg / mm ² . The specific gravity of this heat-resistant material is 3.37, and the specific gravity of silicon nitride is 0.0029. Therefore, the unit volume weight is overwhelmingly large.
[Method of calculation]
Constraint equation f = Si * x ₁ + Zr * x ₂
Substitute the f values of Si and Zr from the quantum statistics table for each element,
f = 15.41 * x ₁ +7.82 * x ₂
Further, the x value of each chemical component satisfying f = 1197.1 is obtained. In addition, if you set the f value of a heat-resistant material that varies depending on the purpose of use, such as high-temperature incinerator materials and acid-resistant heat-resistant materials, and consists of many chemical components, you can calculate It is possible to design the composition of heat resistant materials.

(3) Damping Alloy FIG. 8 is a relationship diagram between the material design f value and the tensile strength of the damping alloy. The sonostone indicated by the number 6 is the only damping alloy currently in use with a tensile strength of 50-60 kg / mm ² (for example, used for submarine screw materials). To design a damping alloy with a higher tensile strength using this figure, extrapolation of the curve, f-value constraint equation with a tensile strength of 100 kg / mm ² and a quantum statistic of 662 ± 30 It is one of the best methods to formulate an arbitrary chemical component having a large damping coefficient.
For example, Mg, Al, Mn, Fe, Zn, Cu are selected as chemical components having a large damping coefficient,
f = Mg * x ₁ + Al * x ₂ + Mn * x ₃ + Fe * x ₄ + Zn * x ₅
f = Mg * x ₁ + Al * x ₂ + Mn * x ₃ + Fe * x ₄ + Zn * x ₅ + Cu * x ₅
By solving the equation, a material having the performance closest to the target can be designed. For that purpose, f = 662 ± 30, Mg = 7.11, Al = 8.26, Mn = 6.87, Fe = 5.97, Zn = 6.97 and Cu = 6. It is best to substitute 94 in the above equation and obtain the component blend ratios x ₁ , x ₂ , x ₃ , x ₄ , x ₅ with the calculation software in the component blend design method program / method of the present embodiment.
As a result of such calculation, there are 1493 kinds of alloys with 1% increments of chemical composition satisfying the f value in the former and 7562 in the latter. From these, if x is selected that is easy to manufacture, low in price, and that satisfies the specified vibration control conditions,

and so on. The former is a ferromagnetic alloy produced by water cooling at a solution heat treatment temperature of 900 ° C. to 1000 ° C. for 2 hours, and the latter is a twin type alloy produced by water cooling at 600 ° C. to 700 ° C. for 2 hours. The expected specific gravity is 6.37 and 3.11.
Damping alloys that are expected to be used in the future with the catchphrase of “free from maintenance” and “quiet materials” are considered to be used in both civilian and military situations in combination with polymer materials and ceramic materials.

5). Example of component composition of material An example of champion data of a material calculated according to the present invention and expected to have high performance is as follows.
(L) Cermet (equivalent to Si ₄ N ₃ )
-Si 54,7% (weight) + Zr 45.3% (weight), expected indoor bending strength 90-100 kg / mm ²
, 1000 ° C. bending strength 80-90 kg / mm ² , thermal shock temperature difference 600-700 ° C., thermal expansion 7 × 10 ⁻⁶ / ° C.
(2) High-temperature superconductor / oxide system: LaO 28.7% (weight) + BaO 28.3% (weight) + Ag ₂ O 43.0% (weight), expected supercritical temperature 100K to 200K
· Oxide: LaO 35.88% (wt) + BaO 35.42% (wt) + AgO 28.70% (weight), the expected supercritical temperature 100K～300K, however, since Ag ^{2 tens} are unstable Care must be taken in adjusting the oxygen partial pressure during sintering.
Glass system: V ₂ O ₅ 27.17% (weight) + LaO 17.94% (weight) + BaO 40.54% (weight) + AgO 14.35% (weight) is a glass superconductor, expected supercritical temperature About 50K.
-Amalgam system: A few pure elements with positive atomic magnetic susceptibility are added to Hg to amalgam.

(3) Stainless steel free-cutting steel / austenite SUS303 equivalent C 0.15% (weight) + Si 1.00% (weight) + Mn 2.00% (weight) + P 0.2% (weight)
+ S 0.15% (weight) + Al 9.5% (weight) + Cr 18.0% (weight) + Fe 69.0% (weight)
・ Ferrite SUS430F equivalent C 0. l% (heavy children) + Si l. 0% (weight) + Mn l. 2% (weight) + P 0.06% (weight) + S 0.15% (weight) + Al 1.12% (weight) + Cr 17.0% (weight) + Fe 79.37% (weight)
Martensitic SUS416 equivalent C 0.1% (weight) + Si l. 0% (weight) + Mn 1.2% (weight) + P 0.06% (weight) + S 0.15% (weight) + Al 1.15% (weight) + Cr 13.0% (weight) + Fe 83.34% (weight)

(4) Light emitting element material (green to blue)
・ Zn OS _1.6-2.0
(5) Light-receiving element material, short wavelength region system: Ga-Tl-NP-As system, long wavelength region system: In-Tl-As-Sb-Bi system, etc. Design becomes possible.
(6) Damping alloy / magnetic type: Based on 40Fe-30Mn-20A1-10Zn system, Ti, Cu, Cr, Mo, etc. are added to confirm the damping property. The heat treatment of the basic system is held at 800 ° C. for 2 hours and then water-cooled, and further held at 400 ° C. for 2 hours and then water-cooled.
Twin / magnetic composite type: Based on ferrosilicon and ferromanganese, Cu, Zn, etc. are added to check the vibration damping properties. The heat treatment of the basic system is water cooling after holding at 750 ° C. for 2 hours, and further water cooling after holding at 300 ° C. for 1 hour.

(7) Effective use of ferrous and non-ferrous metal wastes by alloying ・ Design and manufacture construction materials and materials for construction using iron-aluminum construction waste.
・ Design and manufacture special alloys and high-performance metal materials using ferrous and non-ferrous metal wastes.
・ Design and manufacture magnetic alloys, free-cutting steels, stainless steels, etc., using low alloy and high alloy steel waste.
・ Manufacturing special-purpose materials such as high melting point materials, non-metallic wear-resistant materials, high-hardness materials, and electromagnetic materials using waste such as glass and ceramics.
(Reference) In the case of a hard magnet that is said to exhibit the highest BHmax, Fe ₁₄ Nd ₂ B = 72.3 atm% Fe + 26.7 atm% Nd + 1.0 atm% B
= 72.8 × 5.97 + 26.7 × 3.98 + 1.0 × 6.25
= 544.147
SmCo ₅ = 33.9 atm% Sm + 66.1 atm% C
= 33.9 × 5.84 + 66.1 × 6.23
= 609.779
Both of the above values are well approximated to the maximum value 614 (BHmax is in the cast magnet region) by extrapolation. If a higher BHmax is required, adjust the component to meet the maximum value 614 (decrease Fe for Fe-Nd-B system, increase Nd, B, increase Co for Sm-Co system). , Sm is reduced).

5). Additional Notes The component blending design method or component blending design apparatus / system of the present invention includes a component blending design program for causing a computer to execute each procedure, a computer-readable recording medium recording the component blending design program, and a component blending design program. Can be provided by a program product that can be loaded into an internal memory of a computer, a computer such as a server that includes the program, and the like.

The component blending design of the present invention can be applied to a component blending process using a plurality of component elements regardless of the state of metal and nonmetal. In addition, the present invention enables industrially effective and sufficient physical and chemical performance materials to be freely designed and manufactured using any given component element, and in particular, steel materials and non-ferrous metal materials. -It can be applied to the field of manufacturing inorganic materials and organic materials. Furthermore, we will create a new type of industry that manufactures new industrial materials and construction materials, etc., from the viewpoint of environmental conservation and resource utilization, using various industrial wastes such as metals and non-metals as raw materials. be able to.

The hardware block diagram regarding this Embodiment. Explanatory drawing of an element data file. The flowchart of 1st Embodiment of the component mixing | blending design method of a metal or a nonmetallic (or semiconductor) material. Explanatory drawing of a theme display screen. Explanatory drawing of the display screen of the characteristic data of metal, nonmetal, and semiconductor materials in general. Explanatory drawing of the display screen of the characteristic data of a light receiving element (entire visible light range). Explanatory drawing of the display screen of the characteristic data of a light emitting element. Explanatory drawing of the display screen of the characteristic data of a damping alloy. Explanatory drawing of the display screen of the characteristic data of infrared transmission chalcogen glass. Explanatory drawing of the display screen of the characteristic data of a superconductor. Explanatory drawing about the display of search output. The flowchart of 2nd Embodiment of the component mixing | blending design method of a metal or a nonmetallic (or semiconductor) material. Explanatory drawing about the display of search output.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Processing part 2 Input part 3 Output part 4 Display part 5 Storage part 51 Theme file 52 Characteristic data file 53 Element data file 54 Calculation result file 55 Search output file

Claims (15)

The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, corresponding to the element identifier, which is a value related to the heat of fusion from the quantum statistics stored element data file, by reading the quantum statistics follow each element identifier entered, each element input quantum statistic identifier _{a 1, a 2, ...,} and setting a _{a n,}
Processing unit, the following constraint equation, the compounding ratio x ₁ component represented by each element _{identifier, x} 2, _..., determining a combination of x _n,
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
Ingredient blending design method. The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, the element data file heat of fusion and melting point are stored for each element identifier, by calculating the quantum statistics reads the heat of fusion and melting points of each component element follow each element identifier is input, the input quantum statistics _{a 1, a} 2 of each element identifier, ..., and setting a _{a n,}
The processing unit obtains a combination of the compounding ratios x _1, x ₂ ,..., X _n of the components represented by the respective element identifiers according to the following constraint equation:
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
Ingredient blending design method. The component statistical design according to claim 1 or 2, wherein the quantum statistical value is 0.724 × 10 ²³ × Q ₁₂ / T (where Q ₁₂ is unit mass or heat of fusion per mole). Method. The quantum statistics value is Q ₁₂ / (kT) or exp [Q ₁₂ / (kT)] (where Q ₁₂ is the heat of fusion per unit mass or mole, k is the Boltzmann constant, and T is the melting point) The component blending design method according to claim 1 or 2, characterized in that: Quantum statistics, heat of fusion Q _g per unit _mass, or, Q g _lnT (However, T: melting point) component mix design method according to claim 1 or 2, characterized in that a. 3. The component blending design method according to claim 1, wherein the quantum statistical value is a heat of fusion Q _m per unit mole or Q _m lnT (where T is a melting point).   In the step of setting the quantum statistics value, the processing unit receives the quantum statistics value according to the input element identifier from the element data file storing the thermodynamic data and / or quantum thermodynamic data corresponding to the element identifier. The component blending design method according to claim 1, wherein:   The processing unit refers to the element data file in which the melting point T and the heat of fusion for each element identifier are stored, calculates a quantum statistical value for each component element based on the melting point T and the heat of fusion, and generates a quantum corresponding to the element identifier. The component blending design method according to claim 1, further comprising a step of storing the statistical value in an elemental data file. 9. The processing unit according to claim 1, wherein in the step of setting the quantum statistics value, the processing unit further defines a constraint condition of a blend ratio x _1, x ₂ ,..., X _n of each component. Ingredient formulation design method. In the step of inputting the target quantum statistical value f, the processing unit further inputs an upper limit and / or a lower limit constraint value of the target quantum statistical value f from the input unit,
10. The step of obtaining the combination, wherein the processing unit selects one that falls within a range of a target quantum statistical value in which an upper limit constraint value and / or a lower limit constraint value is set. Ingredient formulation design method. The element data file further stores optional data b _1, b _2, ..., B _n such as price and specific gravity for each element identifier,
The processing unit further includes a step of referring to the element data file and calculating the blending option data B according to the following formula according to the blending ratio for each element identifier of the blending component obtained:
b ₁ x ₁ + b ₂ x ₂ +... + b _n x _n = B
In the step of storing in the calculation result file, the processing unit further stores the combination option data B in the calculation result file corresponding to the combination of the combination ratios,
In the step of inputting the selection condition, the processing unit selects or rearranges a desired combination ratio combination using the selection condition including the combination option data B,
Further, in the step of storing in the search output file and / or displaying on the display unit, the processing unit stores data matching the selection condition including the combination option data B in the search output file and / or on the display unit in the display unit. The component blending design method according to any one of claims 1 to 10, characterized by displaying. The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, corresponding to the element identifier, which is a value related to the heat of fusion from the quantum statistics stored element data file, by reading the quantum statistics follow each element identifier entered, each element input quantum statistic identifier _{a 1, a 2, ...,} and setting a _{a n,}
Processing unit, the following constraint equation, the compounding ratio x ₁ component represented by each element _{identifier, x} 2, _..., determining a combination of x _n,
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
Is a component formulation design program for causing a computer to execute. The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, corresponding to the element identifier, which is a value related to the heat of fusion from the quantum statistics stored element data file, by reading the quantum statistics follow each element identifier entered, each element input quantum statistic identifier _{a 1, a 2, ...,} and setting a _{a n,}
Processing unit, the following constraint equation, the compounding ratio x ₁ component represented by each element _{identifier, x} 2, _..., determining a combination of x _n,
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
A computer-readable recording medium on which a component blending design program for causing a computer to execute is stored. The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, the element data file heat of fusion and melting point are stored for each element identifier, by calculating the quantum statistics reads the heat of fusion and melting points of each component element follow each element identifier is input, the input quantum statistics _{a 1, a} 2 of each element identifier, ..., and setting a _{a n,}
Processing unit, the following constraint equation, the compounding ratio x ₁ component represented by each element _{identifier, x} 2, _..., determining a combination of x _n,
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
Is a component formulation design program for causing a computer to execute. The processing unit refers to the theme file storing the theme of the component blending design of the metal or non-metallic material, and displays a list of themes to be designed on the display unit,
The processing unit inputs a theme identifier representing a theme selected from the theme list by the input unit;
The processing unit stores the characteristic data stored in the material characteristic data corresponding to the theme identifier, which represents a target quantum statistical value that is a value relating to the heat of fusion of the metal or non-metallic material with respect to each material or each material characteristic. Referring to the data file, reading the material property data according to the selected theme identifier and displaying it on the display unit;
Processing unit, an input unit, inputting a Ryoko Shimegi statistics f metallic or non-metallic material of ingredients to be targeted,
The processing unit inputs an element identifier representing a component element to be blended from the input unit;
Processing unit, the element data file heat of fusion and melting point are stored for each element identifier, by calculating the quantum statistics reads the heat of fusion and melting points of each component element follow each element identifier is input, the input quantum statistics _{a 1, a} 2 of each element identifier, ..., and setting a _{a n,}
The processing unit obtains a combination of the compounding ratios x _1, x ₂ ,..., X _n of the components represented by the respective element identifiers according to the following constraint equation:
a ₁ x ₁ + a ₂ x ₂ +... + a _n x _n = f
The processing unit stores the combination of the compounding ratio for each element identifier of the obtained compounding component and the target quantum statistical value f in the calculation result file;
The processing unit inputs a blending ratio selection condition for selecting a predetermined blending ratio combination from the input unit;
The processing unit refers to the calculation result file, selects or rearranges the combination ratios that match the input selection conditions, and stores them in the search output file and / or displays them on the display unit;
A computer-readable recording medium on which a component blending design program for causing a computer to execute is stored.

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