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Component performance optimization design method and system based on machine learning clustering analysis

A cluster analysis and optimization design technology, applied in computer-aided design, multi-objective optimization, computer parts and other directions, can solve the problems of resource waste, low material utilization, weak product performance, etc., to achieve good versatility and improve service. The effect of wide performance and applicability

Pending Publication Date: 2022-06-03
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0008] Regarding the above-mentioned related technologies, the inventor believes that the above-mentioned methods are rarely used in the optimization design of composite material structures. The material utilization rate is low, resulting in

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  • Component performance optimization design method and system based on machine learning clustering analysis
  • Component performance optimization design method and system based on machine learning clustering analysis
  • Component performance optimization design method and system based on machine learning clustering analysis

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Abstract

The invention provides a component performance optimization design method and system based on machine learning clustering analysis, and the method comprises the following steps: a feature quantity obtaining step: processing a target, and obtaining the feature quantity of the target; a clustering analysis step: performing clustering analysis on the feature quantity to obtain a plurality of clustering clusters of the target; and an optimization step: selecting a material performance model to optimize the cluster to obtain a material deployment result of the target. According to the method, the correct material can be quickly and efficiently deployed at the correct position of the component, a novel component performance optimization design method is provided, and the designability of the material structure is further expanded.

Description

technical field [0001] The invention relates to the technical field of material structure performance optimization design, in particular to a component performance optimization design method and system based on machine learning cluster analysis. Background technique [0002] Deploying the right material in the right place is the basic principle and ultimate goal of the optimal design of high-performance components. With the global vision of "carbon peaking and carbon neutrality" put forward, all walks of life have put forward higher requirements for structural lightweight and high performance, especially in the field of transportation, such as aerospace, vehicle transportation and other industries. How to design and optimize the deployment of engineering materials on high-performance components, quickly and accurately obtain the design of high-performance parts that meet the service requirements, and even achieve better performance to be competent in more severe service envi...

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Application Information

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IPC IPC(8): G06F30/27G06F30/17G06K9/62G06F111/06G06F119/14G06F119/18
CPCG06F30/27G06F30/17G06F2111/06G06F2119/14G06F2119/18G06F18/231G06F18/2321G06F18/23213Y02T90/00
Inventor 何霁江晟达
Owner SHANGHAI JIAO TONG UNIV
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