GAJA:3D CAD methodology for developing a parametric system for the automatic(re)modeling of the cutting components of compound washer dies  

作　　者：David POTONIK Bojan DOLAK Miran ULBIN 

机构地区：[1]Emo-orodjarna d.o.o.,Bezigrajska 10,SI-3000,Celje,Slovenia [2]Faculty of Mechanical Engineering,University of Maribor,Smetanova 17,SI-2000,Maribor,Slovenia

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2013年第5期327-340,共14页浙江大学学报（英文版）A辑（应用物理与工程）

基　　金：Project supported by the European Social Fund,European Union

摘　　要：For the designing of cutting-dies is a complex and experience-based process,it is poorly supported by conventional 3D CAD software.Thus,the majority of design activities,including the(re)modeling of those cutting die-components that are directly responsible for performing shaping operations on a sheet-metal stamping part,traditionally still need to be carried-out repetitively,separately,and manually by the designer.To eliminate some of these drawbacks and upgrade the capabilities of conventional 3D CAD software,this paper proposes a new methodology for the development of a parametric system capable of automatically performing a(re)modeling process of compound washer dies' cutting-components.The presented methodology integrates CATIA V5 built-in modules,including Part Design,Assembly Design and Knowledge Advisor,publication mechanism,and compound cutting die-design knowledge.The system developed by this methodology represents an 'intelligent' assembly template composed of two modules GAJA1 and GAJA2,respectively.GAJA1 is responsible for the direct input of the die-design problem regarding the shape,dimensions and material of the stamping part,its extraction in the form of geometric features,and the transferring of relevant design parameters and features to the module GAJA2.GAJA2 interprets the current values for the input parameters and automatically performs the modeling process of cutting die-components,using die-design knowledge and the company's internal design and manufacturing standards.Experimental results show that this system significantly shortens the modeling-time for cutting the die-components,improves the modeling-quality,and enables the training of inexperienced designers.For the designing of cutting-dies is a complex and experience-based process, it is poorly supported by conventional 3D CAD software. Thus, the majority of design activities, including the （re）modeling of those cutting die-components that are directly responsible for performing shaping operations on a sheet-metal stamping part, traditionally still need to be carried-out repetitively, separately, and manually by the designer. To eliminate some of these drawbacks and upgrade the capa- bilities of conventional 3D CAD software, this paper proposes a new methodology for the development of a parametric system capable of automatically performing a （re）modeling process of compound washer dies＇ cutting-components. The presented methodology integrates CATIA V5 built-in modules, including Part Design, Assembly Design and Knowledge Advisor, publi- cation mechanism, and compound cutting die-design knowledge. The system developed by this methodology represents an ＇in- telligent＇ assembly template composed of two modules GAJAI and GAJA2, respectively. GAJA1 is responsible for the direct input of the die-design problem regarding the shape, dimensions and material of the stamping part, its extraction in the form of geometric features, and the transferring of relevant design parameters and features to the module GAJA2. GAJA2 interprets the current values for the input parameters and automatically performs the modeling process of cutting die-components, using die-design knowledge and the company＇s internal design and manufacturing standards. Experimental results show that this system significantly shortens the modeling-time for cutting the die-components, improves the modeling-quality, and enables the training of inexperienced designers.

关 键 词：Parametric modeling Cutting dies Computer-aided systems Knowledge-based design 

分 类 号：TG76[金属学及工艺—刀具与模具] TP391.72[自动化与计算机技术—计算机应用技术]