CN110197029A - A kind of analysis method of analogue simulation material parameter - Google Patents
A kind of analysis method of analogue simulation material parameter Download PDFInfo
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- CN110197029A CN110197029A CN201910456964.XA CN201910456964A CN110197029A CN 110197029 A CN110197029 A CN 110197029A CN 201910456964 A CN201910456964 A CN 201910456964A CN 110197029 A CN110197029 A CN 110197029A
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- value
- range
- analogue simulation
- performance
- analysis method
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/0202—Control of the test
- G01N2203/0212—Theories, calculations
Abstract
The invention discloses a kind of analysis methods of analogue simulation material parameter, comprising: S1, using ERP system, capturing material data comprehensive as far as possible, using computer, being calculated with least square method for every item data obtains normal distribution;S2, take the minimum value for accounting for 95% range near its axis as the value for representing material lowest performance, the minimum value of 68.27% range, which is used as, represents the high performance value of material.The analysis method of analogue simulation material parameter of the invention, can reduce emulation experiment number, while avoid occurring waist performance and material property insufficient wasting situation when the selection of main engine plants.
Description
Technical field
The present invention relates to material parameter analysis technical field more particularly to a kind of analysis sides of analogue simulation material parameter
Method.
Background technique
Analog simulation is as a kind of time saving and energy saving and scientific and efficient test method, and temperature is higher always in recent years.Such as
More and more automobile main frame maker and material supplier use the evaluation of simulation technology progress material punching performance now,
The advantage of its technology can have product shaping performance using software analysis and get information about without multiple real experiment
And available every abnormal numerical value.But the parameters of material property are between each batch, have fluctuation between batch batch,
All kinds of simulation softwares may only input unique numeric and carry out a shock pressure experiments, and this requires the numerical value of input can be true
Material property is represented, the experiment done is just representative, is just more nearly actual conditions.
Patent " analysis method of Automobile Plate stamping simulation material data " (CN108595896A) is taken out using creation data
It is not scientific to represent performance parameter with average value, if average value just shares, can recognize for the method for selecting 300 values to average
To there is the nearly sub-average product of half numerical value unusable, the product for having nearly half numerical value to be higher than average value uses waste;
Or it is believed that most high performance material waist performances that only the extremely low material of only a few parameter makes.
Summary of the invention
In order to solve the above-mentioned technical problem, the object of the present invention is to provide a kind of analysis sides of analogue simulation material parameter
Method reduces emulation experiment number, while avoiding occurring waist performance when the selection of main engine plants and material property deficiency causes to waste
The case where.
In order to solve the above technical problems, the present invention adopts the following technical scheme:
A kind of analysis method of analogue simulation material parameter, comprising:
S1, using ERP system, capturing material data comprehensive as far as possible, using computer, every item data uses least square
Method calculates, and obtains normal distribution;
S2, the minimum value for taking its axis nearby to account for 95% range (exclude minimum as the value for representing material lowest performance
The extremum of point), the minimum value of 68.27% range (excludes mutually-exclusive argument while reaching as the high performance value of material is represented
The mistake of extreme value).
Further, its axis is taken nearby to account for the minimum value of 95% range as representing material lowest performance in the S2
When value, the extremum of minimum point is excluded.
Further, it takes the minimum value for accounting for 68.27% range near its axis to be used as in the S2 and represents material high-performance
Value when, exclude mutually-exclusive argument and reach the mistake of extreme value simultaneously.
Compared with prior art, advantageous effects of the invention:
Selection can represent the performance typing parameter of truth, can optimize the scheme of material selection of main engine plants, to main engine plants
Use the accurate selection important in inhibiting of material;Product can be targetedly promoted, is not in waist performance and material
Energy deficiency causes to waste, and correctly promoting product to material supplier has important meaning.And by taking its axis nearby to account for
The minimum value of 95% range as the value extremum of minimum point (exclude) for representing material lowest performance, 68.27% range
For minimum value as the high performance value of material (exclusion mutually-exclusive argument while the mistake for reaching extreme value) is represented, it is accurate well to have
Property.
Detailed description of the invention
The invention will be further described for explanation with reference to the accompanying drawing.
Fig. 1 is the r Distribution value figure of embodiment 1.
Specific embodiment
Embodiment 1
Using ERP system, capturing material data comprehensive as far as possible, using computer, every item data uses least square method
It calculates, obtains r Distribution value figure as shown in Figure 1, comply with standard normal distribution, take its axis that can nearby account for the minimum of 95% range
Value is as the value (extremum for excluding minimum point) for representing material lowest performance, and the minimum value of 68.27% range is as representative
The high performance value of material (excludes the mistake that mutually-exclusive argument reaches extreme value simultaneously).
And the minimum value by taking its axis nearby to account for 95% range (is excluded as the value for representing material lowest performance
The extremum of minimum point), the minimum value of 68.27% range (excludes mutually-exclusive argument simultaneously as the high performance value of material is represented
Reach the mistake of extreme value), there is good accuracy.
Verified, the present invention is arbitrarily arranged in pairs or groups by each actual numerical value between high-performance value and low performance value and carries out mould
Quasi- emulation experiment, simulation result meet about 90% properties of product.
Embodiment described above is only that preferred embodiment of the invention is described, and is not carried out to the scope of the present invention
It limits, without departing from the spirit of the design of the present invention, those of ordinary skill in the art make technical solution of the present invention
Various changes and improvements, should all fall into claims of the present invention determine protection scope in.
Claims (3)
1. a kind of analysis method of analogue simulation material parameter characterized by comprising
S1, using ERP system, capturing material data comprehensive as far as possible, using computer, every item data with least square method meter
It calculates, obtains normal distribution;
S2, the minimum value for taking its axis nearby to account for 95% range (exclude minimum point as the value for representing material lowest performance
Extremum), the minimum value of 68.27% range (excludes mutually-exclusive argument while reaching extreme value as the high performance value of material is represented
Mistake).
2. the analysis method of analogue simulation material parameter according to claim 1, which is characterized in that take it in the S2
When axis nearby accounts for the minimum value of 95% range as the value for representing material lowest performance, the extremum of minimum point is excluded.
3. the analysis method of analogue simulation material parameter according to claim 1, which is characterized in that take it in the S2
When axis nearby accounts for the minimum value of 68.27% range as material high performance value is represented, excludes mutually-exclusive argument and reach simultaneously
The mistake of extreme value.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102231672A (en) * | 2011-06-09 | 2011-11-02 | 龚政 | Information network-based evaluation method and system of numerical value |
CN103218771A (en) * | 2013-03-07 | 2013-07-24 | 天津大学 | Parameter self-adaptation selecting method based on autoregressive model depth recovery |
US20140244085A1 (en) * | 2013-02-22 | 2014-08-28 | Frampton Ellis | Failsafe Devices, Including Transportation Vehicles |
CN104062678A (en) * | 2014-06-27 | 2014-09-24 | 中国海洋石油总公司 | Method and device for optimizing air gun array |
CN105808952A (en) * | 2016-03-10 | 2016-07-27 | 东南大学 | Quality evaluation method of life cycle assessment data |
CN105916445A (en) * | 2014-01-28 | 2016-08-31 | 株式会社日立制作所 | X-ray ct device and x-ray ct device image computation device |
CN106021645A (en) * | 2016-05-06 | 2016-10-12 | 北京航空航天大学 | An aero-engine compressor performance reliability design method |
CN108595896A (en) * | 2018-05-28 | 2018-09-28 | 邯郸钢铁集团有限责任公司 | The analysis method of Automobile Plate stamping simulation material data |
CN109030202A (en) * | 2018-06-19 | 2018-12-18 | 湘潭大学 | A kind of method of quick determining rock fragile materials discrete element analysis parameter |
-
2019
- 2019-05-29 CN CN201910456964.XA patent/CN110197029A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102231672A (en) * | 2011-06-09 | 2011-11-02 | 龚政 | Information network-based evaluation method and system of numerical value |
US20140244085A1 (en) * | 2013-02-22 | 2014-08-28 | Frampton Ellis | Failsafe Devices, Including Transportation Vehicles |
CN103218771A (en) * | 2013-03-07 | 2013-07-24 | 天津大学 | Parameter self-adaptation selecting method based on autoregressive model depth recovery |
CN105916445A (en) * | 2014-01-28 | 2016-08-31 | 株式会社日立制作所 | X-ray ct device and x-ray ct device image computation device |
CN104062678A (en) * | 2014-06-27 | 2014-09-24 | 中国海洋石油总公司 | Method and device for optimizing air gun array |
CN105808952A (en) * | 2016-03-10 | 2016-07-27 | 东南大学 | Quality evaluation method of life cycle assessment data |
CN106021645A (en) * | 2016-05-06 | 2016-10-12 | 北京航空航天大学 | An aero-engine compressor performance reliability design method |
CN108595896A (en) * | 2018-05-28 | 2018-09-28 | 邯郸钢铁集团有限责任公司 | The analysis method of Automobile Plate stamping simulation material data |
CN109030202A (en) * | 2018-06-19 | 2018-12-18 | 湘潭大学 | A kind of method of quick determining rock fragile materials discrete element analysis parameter |
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