Intelligent Design for Automotive Interior Trim Structures Based on Knowledge Rule-based Reasoning
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ght © 2020 KSAE/ 11709 pISSN 12299138/ eISSN 19763832
INTELLIGENT DESIGN FOR AUTOMOTIVE INTERIOR TRIM STRUCTURES BASED ON KNOWLEDGE RULE-BASED REASONING Xuebing Wei2), Hang Yuan1), Hui Wang1,2)* and Yizhe Chen3) Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China 2) Technical Development Center, SAIC GM Wuling Automobile Company, No. 18 Hexi Road, Guangxi Liuzhou 545007, China 3) Lightweight Technology Section, Hubei Collaborative Innovation Center for Automotive Components Technology, No. 122 Luoshi Road, Wuhan 430070, China 1)
(Received 24 June 2019; Revised 22 November 2019; Accepted 8 December 2019) ABSTRACTAn intelligent design method is presented for automotive interior trim structures based on rule-based reasoning. Design experience knowledge and design process are expressed as production rules, in which geometry model operations are integrated. Rule-based reasoning and model-associated operating are unified in one process. By rule-based reasoning, the intelligent design of interior trim structures is achieved. The method is designed as a three-layer architecture, including the interactive layer, the reasoning and executing layer and the knowledge library layer. The design of interactive dialog is implemented by NX/Open Block UI tool. The knowledge library, including the rule knowledge library and parameter knowledge library, is designed to store design knowledge rules and experience parameters. Each rule is designed in a class form. The data member is the condition of the production rule, and the member function performs operations described by the result of the production rule. The reasoning and executing module is designed through rule-based reasoning, which matches the design rules from the knowledge library according to known facts, calls model operations and updates facts. Based on NX platform, the intelligent design system is implemented by using NX/Open and C++ codes. Finally, the intelligence and efficiency of this method is verified. KEY WORDS : Intelligent Design, Structure, Interior Trims, Knowledge, Rule-Based Reasoning
1. INTRODUCTION
design period delays the rapid introduction of new cars to the market. Therefore, efficiency improvement of interior trim design can shorten the whole vehicle design time and make enterprises more competitive. With the rapid development of intelligent CAD technology, a series of intelligent design theories and methods have been proposed and applied in machinery (Zhao et al., 2019c), automobile (You et al., 2010) and other fields (Zhao et al., 2019b). (Bao et al., 2014) proposed an intelligent algorithm for parting line design according to the characteristics of hinge layout, and built a layout and check module based on CATIA software, which could shorten the design period of a parting line. (Mihaylov and Nikolcheva, 2017) used RBR (Rule-based Reasoning) to create a computer-aided fixture system integrated in SolidWorks environment. The system can generate modular fixtures for locating pri
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