Optional Roughing Tool Diameter Sequence Determination for Pocket: Integrated Geometric Characteristics and Processing Rules

Article Preview

Abstract:

Both to determinate the maximum diameter of cutting tool for a pocket, which is a common operation in CAM and feature representation, and to search an Optional Cutter Diameter Sequence (OCDS) for roughing, we introduce an approach using the Integrated Geometric Characteristics and Processing Rules (IGC&PR) algorithm. In IGC&PR algorithm, geometric characteristics includes accessible section (AS) calculated with rolling disk motion approach, ASs conjunction and narrowest convex hull for AS, also processing rules contains first cutting into condition and three AS index. Besides, the implement of this algorithm just needs simple geometric and mathematical calculation such as points, lines and vectors, rather than complex intersection computation and loop construction, which are needed in traditional methods (e.g., Offset and Voronoi Diagrams). As well, the AS computation can be used for machining cell building in further application. Finally, two examples are proposed to illustrate this algorithm, and the results show that the IGC&PR is implemented and tested successfully on real-world data.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2107-2112

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] YuanShin Lee and Dhaval Daftari. Computers in Industry. 31(1996) 99-128.

Google Scholar

[2] Fangfang Yu. Research and Development of Rapid NC Machining Programming System for Aircraft Integral Panel. 2009. Beijing: Beijing University Of Aeronautics & Astronautics, PHD,20-65.

Google Scholar

[3] Z.Y. Yao, S.K. Gupta and Dana S. Nau. Journal of Manufacturing Processes. 3 (2001) 1-16.

Google Scholar

[4] YuanShin Lee and Dhavai Daftari. Computers Ind.Engng. 33 (1997) 409-412.

Google Scholar

[5] Roshan M. D. Souza. Robotics and Computer-Integrated Manufacturing. 22(2006) 256-266.

Google Scholar

[6] Abhijeet Makhe and M.C. Frank. Computers & Industrial Engineering. 58, 4(2010) 709-716.

Google Scholar

[7] M.Salman A. at.al.. Computer-Aided Design. 38 (2006) 194-209.

Google Scholar

[8] A.Seth and J.A. Stori. INT J COMPUT INTEG M.18 (2005) 463-479.

Google Scholar

[9] F.F. Yu, et.al.. Journal of Computer-Aided Design & Computer Graphics. 22 (2010) 1984-1990.

Google Scholar

[10] Z.C. Chen and H. Zhang. International Journal Of Production Research. 47, 22(2009) 6279-6293.

Google Scholar

[11] Chen ZezhongC. et.al. Computer-Aided Design. 43(2011) 651-663.

Google Scholar

[12] Yajun Jiang et.al.. International Journal Of Machine Tools & Manufacture. 46(2006) 107-113.

Google Scholar

[13] K. O. Edalew, H. S. Abdalla and R. J. Nash. Materials and Design. 22(2002) 337-351.

Google Scholar

[14] Yu Fangfang, et.al.. Chinese Journal of Aeronautics. 21, 6(2008) 585-592.

Google Scholar

[15] Y.F. Rao, et.al.. Rolling Disk Model and its Application to Tool Path and Envelope Generation for Profile Machining. Applied Mechanics and Materials. 160, (2012) 206-210.

DOI: 10.4028/www.scientific.net/amm.160.206

Google Scholar

[16] D. Chaudhuri and A. Samal. Pattern Recognition. 40, 7(2007) 1981-1989.

Google Scholar