CN108038288A - A kind of Forecasting Methodology and system of nano core-shell particle temperature field - Google Patents
A kind of Forecasting Methodology and system of nano core-shell particle temperature field Download PDFInfo
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- CN108038288A CN108038288A CN201711246683.9A CN201711246683A CN108038288A CN 108038288 A CN108038288 A CN 108038288A CN 201711246683 A CN201711246683 A CN 201711246683A CN 108038288 A CN108038288 A CN 108038288A
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Abstract
The invention discloses a kind of Forecasting Methodology and system of nano core-shell particle temperature field.Method includes：First, according to the actual size in molten bath, the physical model in molten bath is established；And based on the physical model in the molten bath, establish correction factor and the relation curve of energy density；Then, the corresponding correction factor of laser of given energy density is determined according to the relation curve of the correction factor and energy density；And the heat source model for giving the laser of energy density is modified using the correction factor, obtain revised heat source model；Heat source is finally applied to the physical model according to the revised heat source model and is solved, obtains nano core-shell particle temperature field, improves the precision of the temperature field prediction of nano core-shell particle.
Description
Technical field
The present invention relates to temperature field simulation field, the Forecasting Methodology of more particularly to a kind of nano core-shell particle temperature field and it is
System.
Background technology
Thermal barrier coating (TBC) is because the performance such as its superior heat-insulated, anticorrosive, thermal shock resistance is widely used in aviation boat
My god, the protection field of the high temperature parts such as metallurgy, chemical industry.For being cracked during YSZ thermal barrier coating uses and its and base
Body combines the problem of not labor, and laser melting coating nanocrystals YSZ@Ni core-shell particles are to solve the problems, such as this effective way.Laser melting coating
Process rapid heat cycle and close with the consolidation behavior in cladding process with complicated thing phase change, the quality of coating quality
The change of correlation, wherein temperature field directly affects the microcosmic solidified structure after laser melting coating, therefore to laser cladding process temperature
The research for spending field is most important.All it is difficult the temperature change for measuring laser cladding process comprehensively using infrared radiation thermometer and thermocouple
Change situation, therefore utilize the method in finite element solving temperature field to become a kind of effective hand for solving laser cladding process temperature field
Section.What wherein utilization was wide is exactly the temperature field used in ANSYS simulated laser cladding process, for general metal cladding
Powder accurate can simulate the temperature field in laser cladding process.But YSZ thermal conductivities in YSZ@Ni nano core-shell particles
Rate is small, energy height can be caused to concentrate in laser cladding process, and bath temperature is excessive, material gasification, scaling loss serious situation.
Assume that material there is no gasification burning phenomenon, can thus make laser melting coating YSZ@Ni in the simulation in laser melting coating temperature field
Temperature field simulation result distortion, can not realize the accurate simulation in the temperature field of YSZ@Ni nano core-shell particles.
The content of the invention
The object of the present invention is in order to improve the temperature field prediction precision of nano core-shell particle, there is provided a kind of nano core-shell
The Forecasting Methodology and system of particle temperature field.
To achieve the above object, the present invention provides following scheme：
A kind of Forecasting Methodology of nano core-shell particle temperature field, the Forecasting Methodology include the following steps：
According to the actual size in molten bath, the physical model in molten bath is established；
Based on the physical model in the molten bath, correction factor and the relation curve of energy density are established；
The corresponding amendment of laser of given energy density is determined according to the relation curve of the correction factor and energy density
Coefficient；
The heat source model for giving the laser of energy density is modified using the correction factor, obtains revised heat
Source model；
Heat source is applied to the physical model according to the revised heat source model and is solved, obtains nano core-shell particle
Temperature field.
Optionally, according to the physical model in the molten bath, correction factor and the relation curve of energy density are established, specific bag
Include：
To the physical model in the molten bath, apply heat source and the solution of different-energy density according to heat source model, obtain not
The nano core-shell particle temperature field of the heat source of co-energy density；
According to the nano core-shell particle temperature field of the heat source of different-energy density, determine that the laser institute of each energy density is right
The simulation size in the molten bath answered；
The heat source model to different-energy density repeats to apply corresponding correction factor respectively, makes each revised heat source
The simulation size in the molten bath corresponding to the energy density of model and the error amount of actual size obtain every in the range of error threshold
The corresponding correction factor of a energy density；
The relation curve of energy density and correction factor is established according to the corresponding correction factor of each energy density.
Optionally, the energy density is represented with unit laser energy density, is specially：
Wherein, ρ ' is unit laser energy density, and p represents laser power, and v represents sweep speed, and R represents laser radius.
Optionally, the heat source model is Gauss heat source model, is specially：
Wherein, q (r) is heat flow density, and R represents laser radius, and η represents that material exists the absorptivity or laser action of laser
The S. E. A. of material surface, k represent coefficient of concentration, and p represents laser power.
Optionally, the revised heat source model is：
Wherein, k' represent laser power be p, the corresponding correction factor of laser that laser radius is R.
A kind of forecasting system of nano core-shell particle temperature field, the forecasting system is applied to the Forecasting Methodology, described
Forecasting system includes：
Physical model establishes module, for the actual size according to molten bath, establishes the physical model in molten bath；
Relation curve establishes module, for the physical model based on the molten bath, establishes correction factor and energy density
Relation curve；
Correction factor determining module, for determining given energy according to the relation curve of the correction factor and energy density
The corresponding correction factor of laser of density；
Heat source model correcting module, for using the correction factor to give energy density laser heat source model into
Row is corrected, and obtains revised heat source model；
Temperature field prediction module, for applying heat source to the physical model according to the revised heat source model and asking
Solution, obtains nano core-shell particle temperature field.
Optionally, the relation curve is established module and is specifically included：
Temperature field acquisition submodule, for the physical model to the molten bath, it is close to apply different-energy according to heat source model
The heat source of degree and solution, obtain the nano core-shell particle temperature field of the heat source of different-energy density；
Size determination sub-module is simulated, for the nano core-shell particle temperature field of the heat source according to different-energy density, really
The simulation size in the molten bath corresponding to the laser of fixed each energy density；
Correction factor acquisition submodule, repeats to apply corresponding amendment for the heat source model respectively to different-energy density
Coefficient, makes the simulation size in molten bath and the error amount of actual size corresponding to the energy density of each revised heat source model
In the range of error threshold, the corresponding correction factor of each energy density is obtained；
Relation curve setting up submodule, for establishing energy density with repairing according to the corresponding correction factor of each energy density
The relation curve of positive coefficient.
Optionally, the relation curve is established mould energy density in the block and is represented with unit laser energy density, is specially：
Wherein, ρ ' is unit laser energy density, and p represents laser power, and v represents sweep speed, and R represents laser radius.
Optionally, it is Gauss heat source model that the relation curve, which establishes mould heat source model in the block, is specially：
Wherein, q (r) is heat flow density, and R represents laser radius, and η represents that material exists the absorptivity or laser action of laser
The S. E. A. of material surface, k represent coefficient of concentration, and p represents laser power.
Optionally, the revised heat source model in the heat source model correcting module is：
Wherein, k' represent laser power be p, the corresponding correction factor of laser that laser radius is R.
The specific embodiment provided according to the present invention, the invention discloses following technique effect：
The invention discloses a kind of Forecasting Methodology and system of nano core-shell particle temperature field, first, according to the reality in molten bath
Border size, establishes the physical model in molten bath；And based on the physical model in the molten bath, establish the pass of correction factor and energy density
It is curve；Then, determine that the laser of given energy density is corresponding according to the relation curve of the correction factor and energy density
Correction factor；And the heat source model for giving the laser of energy density is modified using the correction factor, after obtaining amendment
Heat source model；Heat source is finally applied to the physical model according to the revised heat source model and is solved, obtains nanometer
Core-shell particles temperature field.After being laser melting coating due to the direct performance that gasification scaling loss effectively causes temperature field simulation result distortion
Calculating pool depth, width differ larger with the analogue value, therefore the present invention reduces simulation and reality by adding correction factor
The scale error in molten bath, so as to improve the precision of temperature field simulation.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow chart of the Forecasting Methodology of nano core-shell particle temperature field provided by the invention.
Fig. 2 is the physical model figure that a kind of Forecasting Methodology of nano core-shell particle temperature field provided by the invention is established.
Fig. 3 is the physical model after a kind of Forecasting Methodology mesh generation of nano core-shell particle temperature field provided by the invention
Figure.
Fig. 4 is a kind of structure diagram of the forecasting system of nano core-shell particle temperature field provided by the invention.
Fig. 5 is the unit laser energy density of YSZ@Ni core-shell particles provided by the invention and the relation curve of correction factor
Figure.
Embodiment
The object of the present invention is to provide a kind of Forecasting Methodology and system of nano core-shell particle temperature field, to improve a nanometer core
The precision of the temperature field prediction of shell particles.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, it is below in conjunction with the accompanying drawings and specific real
Mode is applied to be described in further detail invention.
As shown in Figure 1, the present invention provides a kind of Forecasting Methodology of nano core-shell particle temperature field, the Forecasting Methodology bag
Include following steps：
Step 101, according to the actual size in molten bath, the physical model in molten bath is established；
Step 102, the physical model based on the molten bath, establishes correction factor and the relation curve of energy density；
Step 103, the laser pair of given energy density is determined according to the relation curve of the correction factor and energy density
The correction factor answered；
Step 104, the heat source model for giving the laser of energy density is modified using the correction factor, is repaiied
Heat source model after just；
Step 105, heat source is applied to the physical model according to the revised heat source model and solved, obtain nanometer
Core-shell particles temperature field.
Specifically, the concrete mode for the physical model that molten bath is established in step 101 is：Basis material uses GH4169, melts
Cover material and use YSZ@Ni nano core-shell particle powders.Directly using BLOCK sentences generation geometry entity model during modeling.For section
About operation time goes the half of cladding model to be modeled, and constructed geometrical model is as shown in Fig. 2, body portion size is
60mm*15mm*5mm, preset cladding thickness 0.3mm.
Specifically, the physical model based on the molten bath, establish correction factor and energy density relation curve it
Before, further include：Definition material attribute, and mesh generation, the material properties are carried out to the physical model according to material properties
Density, specific heat capacity, thermal conductivity and enthalpy including material；The concrete mode of the mesh generation is：Using Tetrahedral mapping grid
Division, in order to improve computational efficiency, cladding layer segment use thinner mesh generation, away from cladding layer part use compared with
Thick mesh generation, the result is shown in Fig. 3 for mesh generation.
Optionally, described in step 102 according to the physical model in the molten bath, the relation of correction factor and energy density is established
Curve, specifically includes：
To the physical model in the molten bath, apply heat source and the solution of different-energy density according to heat source model, obtain not
The nano core-shell particle temperature field of the heat source of co-energy density；
According to the nano core-shell particle temperature field of the heat source of different-energy density, determine that the laser institute of each energy density is right
The simulation size in the molten bath answered；
The heat source model to different-energy density repeats to apply corresponding correction factor respectively, makes each revised heat source
The simulation size in the molten bath corresponding to the energy density of model and the error amount of actual size obtain every in the range of error threshold
The corresponding correction factor of a energy density.Specifically, the main reason for simulation pool size and larger actual pool size difference
It is：Because laser energy density is excessive, YSZ thermal conductivity factors are poor, and heat, which is concentrated, causes the gasification of material scaling loss to take away portion of energy.It is logical
Cross actual pool size and check simulation pool size in turn, determine correction factor, correct laser melting coating heat source model.
The error threshold is 5%.
It is described obtain the corresponding correction factor of each energy density concrete mode be：
For a given energy density, first, apply an initial correction coefficient to the heat source model, then,
According to the heat source model for being applied with initial correction coefficient, apply heat source to the physical model, obtain the simulation size in molten bath, and
The simulation size in molten bath and actual size are contrasted, judged whether in the range of error threshold, if then by the initial correction system
The number energy density corresponding correction factor given as this, if it is not, then adjusting initial correction coefficient, repeats the above steps.Obtain
The corresponding correction factor of energy density that must be given, and the corresponding correction factor of each energy density is obtained using which.
The relation curve of energy density and correction factor is established according to the corresponding correction factor of each energy density.
Optionally, the energy density is represented with unit laser energy density, and the unit laser energy density is by laser
Technological parameter determines that the laser technical parameters include laser power, sweep speed, laser radius etc., is specially：
Wherein, ρ ' is unit laser energy density, and p represents laser power, and v represents sweep speed, and R represents laser radius.
Optionally, the heat source model is Gauss heat source model, is specially：
Wherein, q (r) is heat flow density, and R represents that laser represents radius, and η represents that material makees the absorptivity or laser of laser
Used in the S. E. A. of material surface, k represents coefficient of concentration, and p represents laser power.
Optionally, the revised heat source model is：
Wherein, k' represent laser power be p, the corresponding correction factor of laser that laser radius is R.
As shown in figure 4, present invention also offers a kind of forecasting system of nano core-shell particle temperature field, the forecasting system
Applied to the Forecasting Methodology, the forecasting system includes：
Physical model establishes module 201, for the actual size according to molten bath, establishes the physical model in molten bath；
Relation curve establishes module 202, for the physical model based on the molten bath, establishes correction factor and energy density
Relation curve；
Correction factor determining module 203, for determining to give according to the relation curve of the correction factor and energy density
The corresponding correction factor of laser of energy density；
Heat source model correcting module 204, for the heat source mould using the correction factor to the laser of given energy density
Type is modified, and obtains revised heat source model；
Temperature field prediction module 205, for applying heat source to the physical model according to the revised heat source model
And solve, obtain nano core-shell particle temperature field.
Specifically, the forecasting system further includes mesh generation submodule, the mesh generation submodule is used to define material
Expect attribute, and mesh generation is carried out to the physical model according to material properties, the material properties include the density of material, ratio
Thermal capacitance, thermal conductivity and enthalpy.
Optionally, the relation curve is established module 202 and is specifically included：
Temperature field acquisition submodule, for the physical model to the molten bath, it is close to apply different-energy according to heat source model
The heat source of degree and solution, obtain the nano core-shell particle temperature field of the heat source of different-energy density；
Size determination sub-module is simulated, for the nano core-shell particle temperature field of the heat source according to different-energy density, really
The simulation size in the molten bath corresponding to the laser of fixed each energy density；
Correction factor acquisition submodule, repeats to apply corresponding amendment for the heat source model respectively to different-energy density
Coefficient, makes the simulation size in molten bath and the error amount of actual size corresponding to the energy density of each revised heat source model
In the range of error threshold, the corresponding correction factor of each energy density is obtained；
Relation curve setting up submodule, for establishing energy density with repairing according to the corresponding correction factor of each energy density
The relation curve of positive coefficient.
Optionally, the energy density that the relation curve is established in module 202 is represented with unit laser energy density, described
Unit laser energy density is determined that the laser technical parameters include laser power, sweep speed, laser by laser technical parameters
Radius etc., is specially：
Wherein, ρ ' is unit laser energy density, and p represents laser power, and v represents sweep speed, and R represents laser radius.
Optionally, the heat source model that the relation curve is established in module 202 is Gauss heat source model, is specially：
Wherein, q (r) is heat flow density, and R represents laser radius, and η represents that material exists the absorptivity or laser action of laser
The S. E. A. of material surface, k represent coefficient of concentration, and p represents laser power.
Optionally, the revised heat source model in the heat source model correcting module 204 is：
Wherein, k' represent laser power be p, the corresponding correction factor of laser that laser radius is R.
Specifically, Forecasting Methodology provided by the present invention and system, can be programmed defeated by ANSYS Parametric Languages APDL
Enter in computer and run, wherein, the concrete mode for applying heat source according to heat source model is：In the command stream of ANSYS by IF,
DO loop loads to realize that continuous small spacing jump is mobile.System meeting automatic decision node is into hot spot in simulation process
Whether the distance r of heart point in R, the heat flow density q=0 if node is not in hot spot, if node in hot spot according to
The Gauss heat source above set is loaded.
Specifically, the Forecasting Methodology and system of a kind of nano core-shell particle temperature field provided by the invention can be applied to YSZ@
Ni nano core-shell particles, but YSZ@Ni nano core-shell particles are not limited to, when applied to YSZ@Ni nano core-shell particles, matrix material
Expect that for GH4169, cladding powder be YSZ@Ni nano core-shell particles.
The YSZ@Ni nano core-shells particle can be prepared by electroless plating method.The present invention provides a kind of preparation method, tool
Body is：The YSZ suspensions configured are added to the NiCl got ready2In solution, then hydrazine hydrate is added thereto and is sufficiently mixed
It is even, it is placed on mechanical agitation in water bath with thermostatic control and fully reacts.Each constituent concentration is C in plating solutionNi=0.12mol/L, CYSZ=
0.007mol/L, it is assumed that YSZ@Ni core-shell particles, mass fraction W can be obtained after solution reaction is completeYSZ=11.59%, WNi=
88.41%.By asking the arithmetic mean of each component to be worth to the thermal physical property parameter of YSZ Ni；It is specific to calculate with reference to formula
AYSZ@Ni=0.8841ANi+0.1159AYSZ
In formula, AYSZ@Ni、ANi、AYSZYSZ@Ni, the hot physical performance parameter of YSZ, Ni are represented respectively.
It is W for mass fractionYSZ=11.59%, WNi=88.41% YSZ@Ni core-shell particles, its unit laser energy
The correspondence of density and correction factor is as shown in table 1, and relation curve is as shown in Figure 5.
1 unit laser energy density of table and correction factor table
| Unit laser energy density | Correction factor k ' |
| 212.3 | 0.40 |
| 382.1 | 0.51 |
| 530.9 | 0.71 |
| 716.6 | 0.83 |
| 796.2 | 0.93 |
The specific embodiment provided according to the present invention, the invention discloses following technique effect：
The invention discloses a kind of Forecasting Methodology and system of nano core-shell particle temperature field, by simulate pool size with
Actual pool size compares, and determines heat source model correction factor k ', reduces the simulation brought in actual experiment due to gasification scaling loss
Error.The contrast of pool size and actual pool size is calculated by simulating, correction factor item is added in laser heat source model,
Adjustment correction factor makes simulation error within 5%.Technological parameter is numerous and diverse in laser cladding process, and each technological parameter burns gasification
The influence degree of damage is different, is simplified mathematical model, introduces unit laser energy density.Choose different laser technical parameters meters
Corresponding unit laser energy density is calculated, and determines correction factor, draws change curve of the correction factor with energy density.
Its temperature field under different technical parameters at different moments accurate can be simulated, is reduced in laser cladding process due to gas
Change scaling loss and cause the simulation error that energy loss is brought.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related part is said referring to method part
It is bright.
Specific case used herein is set forth the principle and embodiment of invention, the explanation of above example
It is only intended to help the method and its core concept for understanding the present invention, described embodiment is only that the part of the present invention is real
Example is applied, instead of all the embodiments, based on the embodiments of the present invention, those of ordinary skill in the art are not making creation
Property work under the premise of all other embodiments obtained, belong to the scope of protection of the invention.
Claims (10)
1. a kind of Forecasting Methodology of nano core-shell particle temperature field, it is characterised in that the Forecasting Methodology includes the following steps：
According to the actual size in molten bath, the physical model in molten bath is established；
Based on the physical model in the molten bath, correction factor and the relation curve of energy density are established；
The corresponding correction factor of laser of given energy density is determined according to the relation curve of the correction factor and energy density；
The heat source model for giving the laser of energy density is modified using the correction factor, obtains revised heat source mould
Type；
Heat source is applied to the physical model according to the revised heat source model and is solved, obtains nano core-shell particle temperature
.
2. the Forecasting Methodology of a kind of nano core-shell particle temperature field according to claim 1, it is characterised in that according to described
The physical model in molten bath, establishes correction factor and the relation curve of energy density, specifically includes：
To the physical model in the molten bath, apply heat source and the solution of different-energy density according to heat source model, obtain different energy
The nano core-shell particle temperature field of the heat source of metric density；
According to the nano core-shell particle temperature field of the heat source of different-energy density, corresponding to the laser for determining each energy density
The simulation size in molten bath；
The heat source model to different-energy density repeats to apply corresponding correction factor respectively, makes each revised heat source model
Energy density corresponding to molten bath simulation size and actual size error amount in the range of error threshold, obtain each energy
The corresponding correction factor of metric density；
The relation curve of energy density and correction factor is established according to the corresponding correction factor of each energy density.
A kind of 3. Forecasting Methodology of nano core-shell particle temperature field according to claim 2, it is characterised in that the energy
Density is represented with unit laser energy density, is specially：
<mrow>
<msup>
<mi>&rho;</mi>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mfrac>
<mrow>
<mi>p</mi>
<mi>v</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, ρ ' is unit laser energy density, and p represents laser power, and v represents sweep speed, and R represents laser radius.
A kind of 4. Forecasting Methodology of nano core-shell particle temperature field according to claim 2, it is characterised in that the heat source
Model is Gauss heat source model, is specially：
<mrow>
<mi>q</mi>
<mrow>
<mo>(</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mi>k</mi>
<mi>&eta;</mi>
<mi>p</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mi>exp</mi>
<mrow>
<mo>(</mo>
<mo>-</mo>
<mi>k</mi>
<mfrac>
<msup>
<mi>r</mi>
<mn>2</mn>
</msup>
<msup>
<mi>R</mi>
<mn>2</mn>
</msup>
</mfrac>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, q (r) is heat flow density, and R represents laser radius, and η represents material to the absorptivity or laser action of laser in material
The S. E. A. on surface, k represent coefficient of concentration, and p represents laser power.
A kind of 5. Forecasting Methodology of nano core-shell particle temperature field according to claim 4, it is characterised in that the amendment
Heat source model afterwards is：
<mrow>
<mi>q</mi>
<mrow>
<mo>(</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
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<msup>
<mi>k</mi>
<mo>&prime;</mo>
</msup>
<mi>k</mi>
<mi>&eta;</mi>
<mi>p</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mi>exp</mi>
<mrow>
<mo>(</mo>
<mo>-</mo>
<mi>k</mi>
<mfrac>
<msup>
<mi>r</mi>
<mn>2</mn>
</msup>
<msup>
<mi>R</mi>
<mn>2</mn>
</msup>
</mfrac>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, k' represent laser power be p, the corresponding correction factor of laser that laser radius is R.
6. a kind of forecasting system of nano core-shell particle temperature field, it is characterised in that the forecasting system is applied to claim
1-5 any one of them Forecasting Methodologies, the forecasting system include：
Physical model establishes module, for the actual size according to molten bath, establishes the physical model in molten bath；
Relation curve establishes module, for the physical model based on the molten bath, establishes the relation of correction factor and energy density
Curve；
Correction factor determining module, for determining given energy density according to the relation curve of the correction factor and energy density
The corresponding correction factor of laser；
Heat source model correcting module, for being repaiied using the correction factor to the heat source model for giving the laser of energy density
Just, revised heat source model is obtained；
Temperature field prediction module, for applying heat source to the physical model according to the revised heat source model and solving,
Obtain nano core-shell particle temperature field.
A kind of 7. forecasting system of nano core-shell particle temperature field according to claim 6, it is characterised in that the relation
Curve is established module and is specifically included：
Temperature field acquisition submodule, for the physical model to the molten bath, applies different-energy density according to heat source model
Heat source simultaneously solves, and obtains the nano core-shell particle temperature field of the heat source of different-energy density；
Size determination sub-module is simulated, for the nano core-shell particle temperature field of the heat source according to different-energy density, is determined every
The simulation size in the molten bath corresponding to the laser of a energy density；
Correction factor acquisition submodule, repeats to apply corresponding amendment system for the heat source model respectively to different-energy density
Number, makes the simulation size in the molten bath corresponding to the energy density of each revised heat source model and the error amount of actual size exist
In the range of error threshold, the corresponding correction factor of each energy density is obtained；
Relation curve setting up submodule, is with correcting for establishing energy density according to the corresponding correction factor of each energy density
Several relation curves.
A kind of 8. forecasting system of nano core-shell particle temperature field according to claim 7, it is characterised in that the relation
Curve is established mould energy density in the block and is represented with unit laser energy density, is specially：
<mrow>
<msup>
<mi>&rho;</mi>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mfrac>
<mrow>
<mi>p</mi>
<mi>v</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, ρ ' is unit laser energy density, and p represents laser power, and v represents sweep speed, and R represents laser radius.
A kind of 9. forecasting system of nano core-shell particle temperature field according to claim 7, it is characterised in that the relation
It is Gauss heat source model that curve, which establishes mould heat source model in the block, is specially：
<mrow>
<mi>q</mi>
<mrow>
<mo>(</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mi>k</mi>
<mi>&eta;</mi>
<mi>p</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mi>exp</mi>
<mrow>
<mo>(</mo>
<mo>-</mo>
<mi>k</mi>
<mfrac>
<msup>
<mi>r</mi>
<mn>2</mn>
</msup>
<msup>
<mi>R</mi>
<mn>2</mn>
</msup>
</mfrac>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, q (r) is heat flow density, and R represents laser radius, and η represents material to the absorptivity or laser action of laser in material
The S. E. A. on surface, k expressions coefficient of concentration, p represents laser power.
A kind of 10. forecasting system of nano core-shell particle temperature field according to claim 9, it is characterised in that the heat
Revised heat source model in source model correcting module is：
<mrow>
<mi>q</mi>
<mrow>
<mo>(</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msup>
<mi>k</mi>
<mo>&prime;</mo>
</msup>
<mi>k</mi>
<mi>&eta;</mi>
<mi>p</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;R</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mi>exp</mi>
<mrow>
<mo>(</mo>
<mo>-</mo>
<mi>k</mi>
<mfrac>
<msup>
<mi>r</mi>
<mn>2</mn>
</msup>
<msup>
<mi>R</mi>
<mn>2</mn>
</msup>
</mfrac>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, k' represent laser power be p, the corresponding correction factor of laser that laser radius is R.
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| CN106909714A (en) * | 2017-01-19 | 2017-06-30 | 西南交通大学 | A kind of thin-wall member electric arc silk filling increasing material manufacturing temperature field prediction method |
| CN107301261A (en) * | 2016-12-31 | 2017-10-27 | 武汉博联特科技有限公司 | Simulated based on COMSOL temperature models and calculate Laser Processing and the method in temperature field in welding process |
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2017
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|---|---|---|---|---|
| CN107301261A (en) * | 2016-12-31 | 2017-10-27 | 武汉博联特科技有限公司 | Simulated based on COMSOL temperature models and calculate Laser Processing and the method in temperature field in welding process |
| CN106909714A (en) * | 2017-01-19 | 2017-06-30 | 西南交通大学 | A kind of thin-wall member electric arc silk filling increasing material manufacturing temperature field prediction method |
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| Title |
|---|
| 陈俊杰: "《激光全熔透焊接304不锈钢的熔池及温度场特征研究》", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑（月刊）2010年第12期》 * |
| 马浩: "《压片预置式激光熔覆涂层温度场及应力场仿真研究》", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑（月刊）2011年第S2期》 * |
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