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Title: Performance analysis of turning process via particle swarm optimization
Authors: Deep, K.
Bansal J.C.
Krasnogor N.K.
Nicosia G.N.
Pavone M.P.
Pelta D.P.
Published in: Studies in Computational Intelligence
Abstract: This paper describes the implementation of Particle Swarm Optimization (PSO) technique for CNC (computer numerically controlled) turning problem to find the optimal operating parameters such as cutting speed and feed rate such that the total production time is minimized subject to the constraints such as cutting force, power, tool-chip interface temperature and surface roughness of the product. An example is given to illustrate the working of Particle Swarm Optimization for optimizing the operating parameters. The results are compared with those obtained by Nelder Mead simplex method (NMS), boundary search method (BSP), genetic algorithm (GA) and simulated annealing (SA). © 2008 Springer-Verlag Berlin Heidelberg.
Citation: Studies in Computational Intelligence (2008), 129(): 453-460
Issue Date: 2008
ISBN: 9.78E+12
ISSN: 1860949X
Author Scopus IDs: 8561208900
Author Affiliations: Deep, K., Indian Institute of Technology Roorkee, Roorkee 247667, India
Bansal, J.C., Indian Institute of Technology Roorkee, Roorkee 247667, India
Corresponding Author: Deep, K.; Indian Institute of Technology Roorke, Roorke 247667, India; email:
Appears in Collections:Journal Publications [MA]

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