KBE-based stamping process paths generated for automobile panels

As automobile body panels are one kind of sheet metal part with groups of free form surfaces, the process planning is more complicated than common sheet metal stamping to implode effectively and practically. Based on KBE, new frameworks have been presented as intelligent master model at the system level and as procedure model at the activity level. In accordance with these frameworks, an intelligent CAPP system has been specifically developed. Based on feature technology, features have been extracted and represented by the object-oriented method. Stamping features and their parameters have been defined and extracted based on feature technology and stamping process rules. The whole product knowledge has been represented by frames which directly map to objects (or features) in the object-oriented sense. Relevant appropriate operations features have been assigned to stamping features of a product based on feature-operation criteria, parameters of the stamping feature and their correlativity. This assignment is a decision-making activity using a set of rules with a decision-making tree and model-based reasoning methods. With knowledge between operations, such as operations order constraint (do-after) and operations combination constraint, process paths have been improved based on relevant intelligent reasoning methods. Based on the relationships (preferred-to) between processes and machines/dies, the structure of die and machine for each process can be identified, since the process route has been determined. In this stamping process planning, the procedure and information have been controlled by a process control structure that is associative and integrated.

[1]  H.J.J. Kals,et al.  Tolerancing and Sheet Bending in Small Batch Part Manufacturing , 1994 .

[2]  H.J.J. Kals,et al.  Process Planning in Small Batch Sheet Metal Part Manufacturing , 1997 .

[3]  H.J.J. Kals,et al.  The generation of bending sequences in a CAPP system for sheet-metal components , 1994 .

[4]  David Alan Bourne,et al.  Design and Manufacturing of Sheet Metal Parts: Using Features to Aid Process Planning and Resolve Manufacturability Problems , 1997 .

[5]  H.J.J. Kals,et al.  Computer aided process planning for sheet metal based on information management , 2000 .

[6]  Byeong-Woo Kim,et al.  A study of a computer-aided process design system for axisymmetric deep-drawing products , 1998 .

[7]  Edwin D. Reilly Open architecture , 2003 .

[8]  S. S. Kang,et al.  Application of computer-aided process planning system for non-axisymmetric deep drawing products , 2002 .

[9]  M. Tisza Expert systems for metal forming , 1995 .

[10]  James Gao,et al.  A feature model editor and process planning system for sheet metal products , 2000 .

[11]  Zheng Jin-qiao Evaluating model of process plan for large complicated Stampings , 2004 .

[12]  Eyal Zussman,et al.  A planning approach for robot-assisted multiple-bent profile handling , 1994 .

[13]  A Ingram,et al.  Knowledge-based engineering for SMEs — a methodology , 2000 .

[14]  Xiaoyun Liao,et al.  Evolutionary path planning for robot assisted part handling in sheet metal bending , 2003 .

[15]  Shigeru Aomura,et al.  Optimized bending sequences of sheet metal bending by robot , 2002 .

[16]  M. Macleod SEE ALL, KNOW ALL, TELL ALL , 1998 .

[17]  Manish Kumar,et al.  Integration of scheduling with computer aided process planning , 2003 .