Feature - Based Approach to Automatic Fixturing System Planning For Uniform Polyhedra Workpiece

Authors

  • Haidir Raheem Zghair Department of Manufacturing Operations Engineering/ Al-Khwarizmi College of Engineering/
  • Haidir Raheem Zghair Department of Manufacturing Operations Engineering/ Al-Khwarizmi College of Engineering/
  • Haidir Raheem Zghair Department of Manufacturing Operations Engineering/ Al-Khwarizmi College of Engineering/
  • Haidir Raheem Zghair Department of Manufacturing Operations Engineering/ Al-Khwarizmi College of Engineering/ University of Baghdad, Iraq-Baghdad
  • Zaid Hikmat Yaqoub The Department of Production and Metallurgy Engineering/ University of Technology, Iraq-Baghdad
  • Amjad Barzan The Department of Production and Metallurgy Engineering/ University of Technology, Iraq-Baghdad

Abstract

This paper demonstrates the design of an algorithm to represent the design stages of fixturing system that serve in increasing the flexibility and automation of fixturing system planning for uniform polyhedral part. This system requires building a manufacturing feature recognition algorithm to present or describe inputs such as (configuration of workpiece) and built database system to represents (production plan and fixturing system exiting) to this algorithm. Also knowledge – base system was building or developed to find the best fixturing analysis (workpiece setup, constraints of workpiece and arrangement the contact on this workpiece) to workpiece.

Downloads

Download data is not yet available.

References

[1] Iain M. Boyle, Kevin Rong and David C. Brown; “Cafixd: a case-based reasoning fixture design method. framework and indexing mechanism”; Computer and Information in Engineering Conference; September 28 – October 2, 2004, Salt Lake City, Utah USA.
[2] S. Ratchev, K. Phuah , G. L¨ammel, W. Huang; “An experimental investigation of fixture–workpiece contact behaviour for the dynamic simulation of complex fixture–workpiece systems”; Journal of Materials Processing Technology; V.164–165;P. 1597–1606 ; 2005.
[3] W. Hu and Y. Rong; “A fast interference checking algorithm for automated fixture design verification”; Int J Adv Manuf Technol; V. 16; P. 571–581; 2000.
[4] Shu Huang Sun and Jahau Lewis Chen; “A fixture design system using Case-based reasoning”; Engng Applic. Artif Intell. Vol. 9, No. 5, pp. 533-540, 1996.
[5] Necmettin Kaya; “Machining fixture locating and clamping position optimization using genetic algorithms”; Computers in Industry Vol.57; P. 112–120; 2006.
[6] Liviu Segal, Camelia Romanescu and Nicolae Gojinetchi; “Methodologies for automated design of modular fixtures”; BULETINUL INSTITUTULUI POLITEHNIC DIN IASI Publicate de Universitatea Technica"Gh.Asachi", Iasi Tomul XLVII(LI), Supliment, 2001.
[7] Y. Wang, et.al.; “A functional approach for the formalization of the fixture design process”; International Journal of Machine Tools & Manufacture; Vol.46; P. 683–697; 2006.
[8] Shane P. Siebenaler and Shreyes N. Melkote* ; “Prediction of workpiece deformation in a fixture system using the finite element method”; International Journal of Machine Tools & Manufacture; Vol.46; P. 51–58; 2006.

[9] Nashua, N. and Vikhroli, P. "Feature Recognition Technology" Internet, www.gosoft.com. 2000.
[10] Tseng, Y. J. “A modular Modeling Approach by Integration Feature Recognition and Feature-Based design” Computer in industry, Vol. 30, PP. 113-125, 1999.
[11] Regli, W. C., Pratt, M and Han, J. H. "Features Recognition for Process Planning" Manufacturing Engineering Laboratory, the National Institute of Standards and Technology, United States Department of Commerce, 2000.

Downloads

Published

2019-03-01

How to Cite

Zghair, H. R., Zghair, H. R., Zghair, H. R., Zghair, H. R., Yaqoub, Z. H., & Barzan, A. (2019). Feature - Based Approach to Automatic Fixturing System Planning For Uniform Polyhedra Workpiece. Al-Khwarizmi Engineering Journal, 4(3), 43–56. Retrieved from https://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/593