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Title:Knowledge-driven intelligent design method for die surface of atuomotive cover panel
Authors: Li Xunwei Wei Yang Liu Yuqi Zhang Zhibing 
Unit: (State Key Laboratory of Material Processing and Die & Mould Technology  Huazhong University of Science and Technology   Wuhan 430074  China) 
KeyWords: automotive panel  die surface engineering  template  knowledge based engineering  knowledge reuse 
ClassificationCode:TG76; TP319
year,vol(issue):pagenumber:2024,49(9):246-254
Abstract:

 In order to solve the problem of heavy reliance on design experience and low reuse rate of enterprise data in the die surface design of automotive panel, a knowledge-driven intelligent design method for automotive panel die surface was proposed. Then, this method extracted the knowledge in the die surface design process, an intelligent template library with a three-layer knowledge architecture of “abstract templates, instance templates and partition templates” was formed, and the intelligent template matching was achieved by keyword search and geometric similarity search to realize automatic accumulation and reuse of knowledge templates. Furthermore, this method summarized the manual experience in the process of die surface design, the knowledge expressed in the form of rules and formulas was formed, combining with the intelligent template to realize the automatic design of die surface, and the knowledge-driven intelligent die surface design system was developed by automotive panel die surface design system based on platform UG, which realized the automatic accumulation and reuse of design knowledge and the automatic design of automotive panel die surface. The actual test results of automotive panel model show that the proposed method effectively enhances the efficiency of the entire die surface design process. 

 
Funds:
基金项目:广东省重点领域研发计划项目(2021B0101220001)
AuthorIntro:
作者简介:李勋玮(2000-),男,硕士研究生 E-mail:82788637@qq.com 通信作者:柳玉起(1966-),男,博士,教授 E-mail:liuyq@hust.edu.cn
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