Compound Machining Method for OKP Product Development
- 680 Downloads
In sheet metal processing and manufacturing, there are many small or medium sized enterprises (SMEs). These OKP manufacturing companies have been facing keen competitive pressure in the market, which has forced these companies to make every effort to shorten PD lead time, improve production efficiency, approach high quality standards, and at the same time cut down the costs. To meet the needs of these companies, this chapter presents a compound cutting and punching production method supported by an integrated CAD/CAPP/CAM system for sheet metal manufacturing. Many existing commercial CAD/CAM systems are not suitable for this manufacturing method, especially under concurrent and global design and manufacturing environments. Some problems have to be solved before these CAD/CAM systems can be employed and integrated into this compound manufacturing method. This chapter deals with solutions to some of these problems. The solutions include an integrated data integration platform based on Pro/INTRALINK and STEP, and a knowledge-based real-time CAPP (RTCAPP) system for compound sheet metal cutting and punching. Within the proposed CAD/CAPP/CAM system, some key modules have been developed. They are the automatic tool selection and manufacturing sequencing module, a shortest tool path optimisation module, a cost estimation module and an automatic insertion of auxiliary path module based on knowledge bases. These modules will be described in this chapter.
KeywordsSheet Metal Tool Path Tool Position Outer Contour Sheet Metal Part
- Cai, L., and Peng, L., 1995, CAPP system (HZ-RCAP) for rotatory parts under CAD/CAM integration environment. Journal of Huazhong University of Science and Technology, 23, 83–87.Google Scholar
- Duan, G., Wang, J., Liu, D., Lei, N., Bian, W., 1996, Research on an object-oriented CAD/CAPP/CAM integrated system based on STEP. IEEE Conference on Industrial Technology, pp. 29–33, 2–6 Dec 1996, Shanghai, China.Google Scholar
- Duda, J., Habel, J., and Pobozniak, J., 1997, Control mechanism of expert system with representation of knowledge in the form of hierarchical decision nets. Proceedings of Artificial Intelligence in Engineering XII, Computational Mechanics Publications, pp.17–28.Google Scholar
- Hamel, A.M., and Steel, M.A., 1994, Finding a Maximum Compatible Tree is NP-Hard for Sequences and Trees (Christchurch: Department of Mathematics and Statistics, University of Canterbury).Google Scholar
- Papadimitriou, C.H., and Steiglitz, K., 1982, Combinatoral Optimisation: Algorithms and Complexity (Englewood Cliffs, N.J.: Prentice Hall).Google Scholar
- Summad, E., and Appleton, E., 1998, Applications of the Monte Carlo simulation method in tool selection for punching operations in the sheet metal industry. International Conference on SIMULATION, York, UK, 30 September–2 October.Google Scholar
- Szykman, S., Sriram, R.D., Bochenek, C., Racz, J.W., and Sriram, R., 2000, Design repositories: next-generation engineering design databases. Journal of National Institute of Standard and Technology, on the Web: http://www.mel.nist.gov/msidlibrary/summary/pubs00.htm.
- Tan, G.S.H., and Hui, K-L., 1998, Applying Intelligent Agent Technology as the Platform for Simulation. The 31st Annual Simulation Symposium, Boston, MA, April 5–9.Google Scholar
- Tu, Y., Xie, S.Q., and Liu, J., 2000, Virtual Product Development for One-of-a-Kind. IFAC, Aachen, Germany, 14–18 June.Google Scholar
- Wang, C.H., and Bourne, D.A., 1995, Using features and their constraints to aid process planning of sheet metal parts. Proceedings of IEEE International Conference on Robotics and Automation, pp. 1020–1026.Google Scholar
- Xie, S.Q., and Duan, Z.C., 1995, Automatic manufacturing parameters selection of sheet metal laser cutting by using experiments and neutral network method. Journal of Mechanics, 23, 54–57 (in Chinese).Google Scholar