ONTOLOGICAL MACHINING PROCESS DATA MODELLING FOR POWERTRAIN PRODUCTION IN EXTENDED ENTERPRISE

被引:5
|
作者
Cai, Jing [1 ]
Weyrich, Michael [2 ]
Berger, Ulrich [3 ]
机构
[1] DaimlerChrysler AG, ITM Machinery Equipment Dev & Prod, Mercedes Benz Passenger Cars & Smart ITP AB, HPC T151, D-70546 Stuttgart, Germany
[2] DaimlerChrysler Res & Technol Ltd, India CAx Serv Ctr Competence, Bangalore 560001, Karnataka, India
[3] Brandenburg Tech Univ Cottbus, Chair Automat Engn, D-03013 Cottbus, Germany
关键词
CAx process chain; feature-technology; STEP; ontology;
D O I
10.1142/S0219686705000588
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As a new CAx concept, Digital Factory points out digital design of product & virtual planning of production. In this context, feature technology builds up the entire CAx process chain in Digital Factory, and facilitates STEP based engineering data generation and exchange. The collaborative computer-aided machining process planning of a transfer line is an element in process chain of extended enterprises Automotive Engineering. In practice, it is an approach engaged by both OEMs and their long-term machine suppliers. Application of a CAD-based Digital Factory planning system to design a virtual transfer line needs planning standard data and exchange with supplier. This paper highlights STEP-referenced ontological data modeling approach in the standardized data exchange for collaborative machining process planning, discusses the aspects of its prospective application advantages in machining process planning by OEMs and suppliers for Powertrain production in Automotive Industry.
引用
收藏
页码:69 / 82
页数:14
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