CN111581750A - Multidisciplinary multi-index product structure optimization design method based on ISIGHT software - Google Patents

Multidisciplinary multi-index product structure optimization design method based on ISIGHT software Download PDF

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CN111581750A
CN111581750A CN202010436032.1A CN202010436032A CN111581750A CN 111581750 A CN111581750 A CN 111581750A CN 202010436032 A CN202010436032 A CN 202010436032A CN 111581750 A CN111581750 A CN 111581750A
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cooling structure
design
mechanical property
structure design
cooling
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CN111581750B (en
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徐亮
赵旭
高建民
云雪
谌清云
席雷
李云龙
陈航航
李政轩
曾国栋
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GUANGDONG XI'AN JIAOTONG UNIVERSITY ACADEMY
Xian Jiaotong University
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Abstract

Aiming at the cooling structure design of a complex high-end equipment product, designing a physical geometric three-dimensional model based on the ISIGHT software integrated cooling structure, establishing a cooling structure design lightweight module, a mechanical property modal analysis module, a mechanical property intensity analysis module and a cooling property module, performing multi-discipline parallel design and coupling optimization design by taking the structural lightweight, the mechanical property and the cooling property as optimization targets, conforming to practical application, establishing a response surface approximate model through design variables, and then passing through R2The accuracy of the approximate model is verified through analysis, the calculation time cost is reduced, and the optimization efficiency is improved; then, the product is processedBy designing variable sensitivity analysis, the structural optimization design timeliness is improved, and then the optimization efficiency and accuracy are improved by adopting NSGA-II and SQP combined optimization strategy; the invention realizes the aims of light weight, high mechanical property and high cooling performance of the structure, and can be widely applied to hot end parts of complex high-end equipment.

Description

Multidisciplinary multi-index product structure optimization design method based on ISIGHT software
Technical Field
The invention belongs to the technical field of integrated optimization platform design, and particularly relates to a multidisciplinary multi-index product structure optimization design method based on ISIGHT software.
Background
The product structure design is a complex system engineering, needs to consider the comprehensive performance indexes of a plurality of disciplines and a plurality of systems, and relates to the comprehensive balance of a plurality of designs and target parameters under certain design constraint conditions. That is to say, the optimization design of the multidisciplinary and multi-index product structure is the core link of the product design.
Taking the cooling structure design of a complex high-end equipment product as an example, the cooling performance is improved only by singly enlarging the convection space and increasing the heat exchange area at present, and the problems of volume redundancy, complex preparation process, low and uneven cooling efficiency and the like of the complex high-end equipment product are often ignored. More importantly, the weight and the mechanical property of the cooling structure of the complex high-end equipment product are neglected, the cooling performance is only improved as the only design target, the weight of the cooling structure of the product is overlarge, and the phenomena of resonance, insufficient strength, uneven cooling and the like exist in the operation process, so that the parts are damaged, the equipment fault is caused, and even the core parts of the equipment are damaged. With the continuous improvement of the comprehensive performance requirements of complex high-end equipment products, a multidisciplinary and multi-index product structure optimization design method is urgently needed, and the service life and the reliability of the product are fundamentally ensured.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a multidisciplinary multi-index product structure optimization design method based on ISIGHT software, which realizes the aims of light weight, high mechanical property and high cooling performance of the structure, can be widely applied to hot end parts of other complex high-end equipment such as industrial gas turbines, aircraft engines and the like,
in order to achieve the purpose, the invention adopts the technical scheme that:
a multidisciplinary multi-index product structure optimization design method based on ISIGHT software comprises the following steps:
step 1), integrating SOLIDWORKS components based on ISIGHT software, establishing a cooling structure design physical geometric three-dimensional model for arranging a regular quadrangular pyramid type support in SOLIDWORKS, and determining a parametrically designed size variable, namely a rod diameter D, an included angle omega between rods and an overall height H of the regular quadrangular pyramid type support;
step 2), a cooling structure design lightweight module, a cooling structure design mechanical property modal analysis module, a cooling structure design mechanical property strength analysis module and a cooling structure design cooling property module are established, and the four modules are performed in parallel;
2.1) integrating a Calculator component based on ISIGHT software, calculating the cooling structure design physical geometric three-dimensional model in the step 1) according to a relative density calculation formula, determining the relative density of the cooling structure, and establishing a cooling structure design lightweight module of the regular quadrangular pyramid type bracket;
2.2) integrating ABAQUS components based on ISIGHT software, designing a physical geometric three-dimensional model by introducing the cooling structure in the step 1), and establishing a cooling structure design mechanical property modal analysis module of the regular quadrangular pyramid type bracket for defining material and section attributes, defining analysis steps, specifying output requirements, specifying boundary conditions, dividing grids, operating and outputting results in the ABAQUS;
2.3) integrating ABAQUS components based on ISIGHT software, designing a physical geometric three-dimensional model by introducing the cooling structure in the step 1), and establishing a cooling structure design mechanical property intensity analysis module of the regular quadrangular pyramid type bracket for defining material and section attributes, defining analysis steps, specifying output requirements, specifying boundary conditions, dividing grids, operating and outputting results in the ABAQUS;
2.4), integrating SIMCODE-ANSYS-ICEM, SIMCODE-ANSYS-CFX and SIMCODE-ANSYS-CFD _ POST components based on ISIGHT software, designing a physical geometric three-dimensional model by importing the cooling structure in the step 1), respectively creating PART and BLOCK in the SIMCODE-ANSYS-ICEM components, defining node distribution, generating a three-dimensional structured grid, importing the three-dimensional structured grid into the SIMCODE-ANSYS-CFX components, creating DOMAIN and BOUNDARY, setting solution control for operation solution, importing the solution result into the SIMCODE-ANSYS-CFD _ POST components, and performing POST-processing to establish a cooling structure design cooling performance module;
step 3), integrating response surface approximate model components based on ISIGHT software, carrying out DOE (design of cooling structure, and determining a matrix of design of test, and simultaneously determining objective functions of a lightweight module of cooling structure design, a modal analysis module of mechanical property of cooling structure design, an intensity analysis module of mechanical property of cooling structure design and a cooling performance module of cooling structure design;
the cooling structure is designed into a lightweight module objective function:
Figure BDA0002502283160000031
the cooling structure is designed with a mechanical property modal analysis module objective function:
f2(x)＝freq1
the cooling structure is designed with a mechanical property intensity analysis module objective function:
f3(x)＝E
cooling structure design cooling performance module objective function:
f4(x)＝Nu
step 4), setting constraint conditions according to the step 1):
LowLimit≤D≤Upper Limit
Low Limit≤ω≤Upper Limit
Low Limit≤H≤Upper Limit
step 5), determining an optimization target:
Min f1(x)；Min f2(x)；Max f3(x)；Max f4(x)；
step 6), establishing an approximate model by adopting a three-order response surface model;
step 7), adopting fitting accuracy R2Analyzing to verify the accuracy of the approximate model;
Figure BDA0002502283160000041
Figure BDA0002502283160000042
representing a regression sum of squares;
Figure BDA0002502283160000043
represents the sum of the squares of the total;
Figure BDA0002502283160000044
is the average value of the responses and,
Figure BDA0002502283160000045
for predicted values at design points, yiIn order to respond to the real value, k is the number of sample points;
step 8), normalizing the design variables to obtain a main effect Pareto diagram, and further obtaining the sensitivity of the size variables corresponding to parametric design to the target function;
step 9), setting constraint conditions of the rod diameter D, the rod included angle omega and the overall height H of the size variable regular quadrangular pyramid type support, and setting a target optimization function Min f of four modules1(x)、Min f2(x)、Max f3(x)、Max f4(x) Firstly, optimizing the whole design space by adopting an NSGA-II algorithm, and then repeatedly iterating and updating the design space by the SQP to find an accurate global optimal solution;
and step 10), operating the component to obtain a final result, and analyzing.
Compared with the prior art, the invention at least has the following beneficial effects:
aiming at the cooling structure design of a complex high-end equipment product, the invention performs multidisciplinary coupling optimization design by taking the light weight, the mechanical property and the cooling property of the structure as optimization targets, better accords with the actual condition of the product structure, and meets the comprehensive performance index of the cooling structure of the complex high-end equipment product. The invention carries out multidisciplinary parallel optimization design and shortens the design period. The invention can be widely applied to hot end parts of other complex high-end equipment such as industrial gas turbines, aero-engines and the like, and the aims of light weight, high mechanical property and high cooling performance of the structure are achieved.
According to the invention by R2Analysis gave f1(x)、f2(x)、f3(x)、f4(x) R of (A) to (B)20.99916, 0.99086, 0.99013 and 0.98409 respectively, the fitting degree of the surface response surface approximate model is better, the accuracy of the approximate model result is ensured, the calculation time cost is reduced, and the optimization efficiency is improved.
According to the invention, by analyzing the sensitivity of the parametric design size variable to the target function, the selection of the low-sensitivity parametric design size variable can be reduced, and the structural optimization design timeliness is improved.
According to the invention, the NSGA-II algorithm is adopted to optimize the whole design space, and then the SQP is used to carry out repeated iteration and updating to gradually approach the accurate global optimal solution, so that the optimization efficiency and accuracy are improved by the combined optimization strategy.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a schematic diagram of a physical geometric three-dimensional model of an embodiment cooling structure design.
FIG. 3 is a diagram of an embodiment cooling structure design optimization process.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments and the accompanying drawings, and it is obvious that the described embodiments are some, not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, a multidisciplinary multi-index product structure optimization design method based on ISIGHT software includes the following steps:
step 1), integrating SOLIDWORKS components based on ISIGHT software, establishing a cooling structure design physical geometric three-dimensional model for arranging a regular quadrangular pyramid type support in SOLIDWORKS, and determining a parametrically designed size variable, namely a rod diameter D, an included angle omega between rods and an overall height H of the regular quadrangular pyramid type support;
step 2) establishing a cooling structure design lightweight module, a cooling structure design mechanical property modal analysis module, a cooling structure design mechanical property strength analysis module and a cooling structure design cooling property module, wherein the four modules are performed in parallel;
2.1) integrating a Calculator component based on ISIGHT software, calculating the cooling structure design physical geometric three-dimensional model in the step 1) according to a relative density calculation formula, determining the relative density of the cooling structure, and establishing a cooling structure design lightweight module of the regular quadrangular pyramid type bracket;
2.2) integrating ABAQUS components based on ISIGHT software, designing a physical geometric three-dimensional model by importing the cooling structure in the step 1), and establishing a mechanical property modal analysis module for designing the cooling structure of the regular quadrangular pyramid type bracket, wherein the mechanical property modal analysis module is used for defining material and section properties, defining analysis steps, specifying output requirements, specifying boundary conditions, dividing grids, operating and outputting results;
2.3) integrating ABAQUS components based on ISIGHT software, designing a physical geometric three-dimensional model by introducing the cooling structure in the step 1), and establishing a mechanical property intensity analysis module for designing the cooling structure of the regular quadrangular pyramid type bracket, wherein the mechanical property intensity analysis module is used for defining material and section properties, defining analysis steps, specifying output requirements, specifying boundary conditions, dividing grids, operating and outputting results;
2.4), integrating SIMCODE-ANSYS-ICEM, SIMCODE-ANSYS-CFX and SIMCODE-ANSYS-CFD _ POST components based on ISIGHT software, designing a physical geometric three-dimensional model by importing the cooling structure in the step 1), respectively creating PART and BLOCK in the SIMCODE-ANSYS-ICEM components, defining node distribution, generating a three-dimensional structured grid, importing the three-dimensional structured grid into the SIMCODE-ANSYS-CFX components, creating DOMAIN and BOUNDARY, setting solution control for operation solution, importing the solution result into the SIMCODE-ANSYS-CFD _ POST components, and performing POST-processing to establish a cooling structure design cooling performance module;
step 3), integrating response surface approximate model components based on ISIGHT software, carrying out DOE (design of cooling structure, and determining a matrix of design of test, and simultaneously determining objective functions of a lightweight module of cooling structure design, a modal analysis module of mechanical property of cooling structure design, an intensity analysis module of mechanical property of cooling structure design and a cooling performance module of cooling structure design;
cooling structure design lightweight module objective function
Figure BDA0002502283160000086
Cooling structure design mechanical property modal analysis module objective function
f2(x)＝freq1
Cooling structure design mechanical property intensity analysis module objective function
f3(x)＝E
Cooling Structure design Cooling Performance Module Objective function
f4(x)＝Nu
Step 4), setting constraint conditions according to the step 1):
Low Limit≤D≤Upper Limit
Low Limit≤ω≤Upper Limit
Low Limit≤H≤Upper Limit
step 5), determining an optimization target:
Min f1(x)；Max f2(x)；Max f3(x)；Max f4(x)
step 6), in order to improve the computational efficiency, a third-order response surface model is adopted to establish an approximate model;
step 7), in order to ensure the precision of the approximate model, fitting precision R is adopted2Analyzing to verify the accuracy of the approximate model;
Figure BDA0002502283160000081
Figure BDA0002502283160000082
representing a regression sum of squares;
Figure BDA0002502283160000083
represents the sum of the squares of the total;
Figure BDA0002502283160000084
is the average value of the responses and,
Figure BDA0002502283160000085
for predicted values at design points, yiIn order to respond to the real value, k is the number of sample points;
by R2Analysis gave f1(x)、f2(x)、f3(x)、f4(x) R of (A) to (B)20.99916, 0.99086, 0.99013 and 0.98409 respectively, the fitting degree of the surface response surface approximate model is better, and the accuracy of the approximate model result is ensured;
step 8), normalizing the design variables to obtain a main effect Pareto diagram, and further obtaining the sensitivity of the size variables corresponding to parametric design to the target function;
step 9), setting constraint conditions of the rod diameter D, the rod included angle omega and the overall height H of the size variable regular quadrangular pyramid type support, and setting a target optimization function Min f of four modules1(x)、Max f2(x)、Max f3(x)、Max f4(x) Firstly, optimizing the whole design space by adopting an NSGA-II algorithm, and then repeatedly iterating and updating the design space by the SQP to find an accurate global optimal solution;
and step 10), operating the component to obtain a final result, and analyzing.
Referring to fig. 2, the cooling structure design physical geometry three-dimensional model of this embodiment includes cooling structure curb plate 1 and the cooling structure bottom plate 2 of being connected with it, is equipped with regular quadrangular pyramid formula support 3 on the cooling structure bottom plate 2, and the size variable of regular quadrangular pyramid formula support 3 is regular quadrangular pyramid formula support rod footpath D, contained angle omega between the pole, whole height H, is equipped with the thermal analysis bottom plate to cooling structure bottom plate 2 and applys even heat flux density 4 and thermal analysis cold flow 5.
In the embodiment, the sensitivity of the cooling structure design variable is calculated through ISIGHT software, and the target function f of the rod diameter D, the rod included angle omega and the overall height H of the regular quadrangular pyramid type support are given in table 11(x)、f2(x)、f3(x)、f4(x) The sensitivity of the light source is improved,
TABLE 1
Figure BDA0002502283160000101
Referring to fig. 3, the present embodiment provides an objective function f through ISIGHT software1(x)、f2(x)、f3(x)、f4(x) The optimization process, namely the process that the gray point trace gradually approaches to the black point trace along with the increase of the iteration steps is the optimization process, and the step 600 is reachedTime, objective function f1(x)、f2(x)、f3(x)、f4(x) The optimization is achieved, and the table 2 shows the comparison of the structure performance before and after the optimization,
TABLE 2
Figure BDA0002502283160000102
As can be seen from the results of the optimization,
Figure BDA0002502283160000103
the aim of light weight is achieved, freq1 and E, Nu are both improved, and mechanical property and cooling property are improved.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (1)

1. A multidisciplinary multi-index product structure optimization design method based on ISIGHT software is characterized by comprising the following steps:
step 1), integrating SOLIDWORKS components based on ISIGHT software, establishing a cooling structure design physical geometric three-dimensional model for arranging a regular quadrangular pyramid type support in SOLIDWORKS, and determining a parametrically designed size variable, namely a rod diameter D, an included angle omega between rods and an overall height H of the regular quadrangular pyramid type support;
step 2), a cooling structure design lightweight module, a cooling structure design mechanical property modal analysis module, a cooling structure design mechanical property strength analysis module and a cooling structure design cooling property module are established, and the four modules are performed in parallel;
2.1) integrating a Calculator component based on ISIGHT software, calculating the cooling structure design physical geometric three-dimensional model in the step 1) according to a relative density calculation formula, determining the relative density of the cooling structure, and establishing a cooling structure design lightweight module of the regular quadrangular pyramid type bracket;
2.2) integrating ABAQUS components based on ISIGHT software, designing a physical geometric three-dimensional model by introducing the cooling structure in the step 1), and establishing a cooling structure design mechanical property modal analysis module of the regular quadrangular pyramid type bracket for defining material and section attributes, defining analysis steps, specifying output requirements, specifying boundary conditions, dividing grids, operating and outputting results in the ABAQUS;
2.3) integrating ABAQUS components based on ISIGHT software, designing a physical geometric three-dimensional model by introducing the cooling structure in the step 1), and establishing a cooling structure design mechanical property intensity analysis module of the regular quadrangular pyramid type bracket for defining material and section attributes, defining analysis steps, specifying output requirements, specifying boundary conditions, dividing grids, operating and outputting results in the ABAQUS;
2.4), integrating SIMCODE-ANSYS-ICEM, SIMCODE-ANSYS-CFX and SIMCODE-ANSYS-CFD _ POST components based on ISIGHT software, designing a physical geometric three-dimensional model by importing the cooling structure in the step 1), respectively creating PART and BLOCK in the SIMCODE-ANSYS-ICEM components, defining node distribution, generating a three-dimensional structured grid, importing the three-dimensional structured grid into the SIMCODE-ANSYS-CFX components, creating DOMAIN and BOUNDARY, setting solution control for operation solution, importing the solution result into the SIMCODE-ANSYS-CFD _ POST components, and performing POST-processing to establish a cooling structure design cooling performance module;
step 3), integrating response surface approximate model components based on ISIGHT software, carrying out DOE (design of cooling structure, and determining a matrix of design of test, and simultaneously determining objective functions of a lightweight module of cooling structure design, a modal analysis module of mechanical property of cooling structure design, an intensity analysis module of mechanical property of cooling structure design and a cooling performance module of cooling structure design;
the cooling structure is designed into a lightweight module objective function:
Figure FDA0002502283150000021
the cooling structure is designed with a mechanical property modal analysis module objective function:
f2(x)＝freq1
the cooling structure is designed with a mechanical property intensity analysis module objective function:
f3(x)＝E
cooling structure design cooling performance module objective function:
f4(x)＝Nu
step 4), setting constraint conditions according to the step 1):
Low Limit≤D≤Upper Limit
Low Limit≤ω≤Upper Limit
Low Limit≤H≤Upper Limit
step 5), determining an optimization target:
Minf1(x)；Minf2(x)；Maxf3(x)；Maxf4(x)；
step 6), establishing an approximate model by adopting a three-order response surface model;
step 7), adopting fitting accuracy R2Analyzing to verify the accuracy of the approximate model;
Figure FDA0002502283150000031
Figure FDA0002502283150000032
representing a regression sum of squares;
Figure FDA0002502283150000033
represents the sum of the squares of the total;
Figure FDA0002502283150000034
is the average value of the responses and,
Figure FDA0002502283150000035
for predicted values at design points, yiIn order to respond to the real value, k is the number of sample points;
step 8), normalizing the design variables to obtain a main effect Pareto diagram, and further obtaining the sensitivity of the size variables corresponding to parametric design to the target function;
step 9), setting constraint conditions of the rod diameter D, the rod included angle omega and the overall height H of the size variable regular quadrangular pyramid type support, and setting a target optimization function Minf of four modules1(x)、Minf2(x)、Maxf3(x)、Maxf4(x) Optimizing the whole design space by adopting an NSGA-II algorithm, and then repeatedly iterating and updating the design space by the SQP to find an approximate accurate global optimal solution;
and step 10), operating the component to obtain a final result, and analyzing.
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