Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33090
Intelligent Design of Reconfigurable Machines
Authors: Majid Tolouei-Rad
Abstract:
This paper presents methodologies for developing an intelligent CAD system assisting in analysis and design of reconfigurable special machines. It describes a procedure for determining feasibility of utilizing these machines for a given part and presents a model for developing an intelligent CAD system. The system analyzes geometrical and topological information of the given part to determine possibility of the part being produced by reconfigurable special machines from a technical point of view. Also feasibility of the process from a economical point of view is analyzed. Then the system determines proper positioning of the part considering details of machining features and operations needed. This involves determination of operation types, cutting tools and the number of working stations needed. Upon completion of this stage the overall layout of the machine and machining equipment required are determined.Keywords: CAD, Knowledge based system, Reconfigurable
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330787
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[1] Suhner Corporation General catalogue, "Automation Expert," Switzerland, 2001.
[2] M.P. Groover, "Automation, Production Systems, and Computer Integrated Manufacturing," Prentice Hall, NJ, USA, 2008.
[3] M. Tolouei-Rad, and S. Zolfaghari, "Productivity improvement using Special-Purpose Modular machine tools," Int. J. Manufacturing Research, Vol. 4, No. 2, pp. 219-235, 2009.
[4] M. Tolouei-Rad and S. M. Tabatabaei, "Design and manufacture of modular special purpose machine tools,"Design and manufacture of modular special purpose machine tools, Int. Conf. on Achievements in Mechanics, Manufacturing and Materials Science, 6-9 Dec., Giliwice- Zakopane, Poland, 2005.
[5] S. Myung and S. Han, "Knowledge-based parametric design of mechanical products based on configuration design method," Expert Systems with Applications, Vol. 21, Issue 2, pp. 99-107, 2001.
[6] S. C. Park, "Knowledge capturing methodology in process planning," Computer-Aided Design, Vol. 35, Issue 12, October 2003, pp. 1109- 1117, 2003.
[7] L Patil and S. S, Pande, "An intelligent feature process planning system for prismatic parts," International Journal of Production Research, Vol. 40, No. 17, pp. 4431-4447, 2002.
[8] M. Novak, and B. Dolšaka, "Intelligent FEA-based design improvement, Engineering Applications of Artificial Intelligence," Vol. 21, Issue 8, pp. 1239-1254, 2008.
[9] M. Tolouei-Rad and G. Payeganeh "A hybrid approach for automatic generating of NC programs," Journal of Achievements in Materials and Manufacturing Engineering, Vol. 14, No. 1 & 2, pp. 83-89, 2006.