锻压技术

知识驱动的汽车覆盖件模面智能化设计方法

英文标题：Knowledge-driven intelligent design method for die surface of atuomotive cover panel

作者：李勋玮韦阳柳玉起章志兵

分类号：TG76; TP319

出版年,卷(期):页码：2024,49(9):246-254

摘要：

为解决汽车覆盖件模面设计严重依赖经验和企业数据复用率低的问题，提出一种知识驱动的汽车覆盖件模面智能化设计方法。该方法提取了模面设计流程中的知识，形成“抽象模板-实例模板-分区模板”3层知识架构的智能化模板库，并采用关键字检索和几何相似度检索进行智能化模板匹配，实现了知识模板的自动积累和复用。该方法总结了模面设计过程中的人工经验，形成以规则和公式为表达形式的知识，与智能化模板相互结合，实现了模面的自动化设计。结合基于UG平台的汽车覆盖件模面设计系统，开发了知识驱动的模面智能化设计系统，实现了设计知识自动积累和复用，也实现了覆盖件模面的自动化设计。实际汽车覆盖件模型测试结果证明，所提方法可有效提高模面设计全流程的效率。

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.

基金项目：

基金项目:广东省重点领域研发计划项目（2021B0101220001）

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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