چکیده مقاله
In this paper, based on the acquired experimental data, the modeling of the face milling operation for surface roughness is performed by using an Improved Particle Swarm Optimization based Neural Network IPSONN Then, the Harmony search algorithm HS is utilized for optimizing the cutting parameters The experimental evaluations of the obtained results using the optimal cutting parameters have shown the superiority of the proposed optimization approach
کلیدواژهها
نویسندگان
M. Reza Soleymani
Assistant Professor in Mech Eng Dept , Imam Hussein University, Tehran Iran
M Asadnia
MSc student in Mech Eng Dept , Iran University of Industries and Mines, Tehran Iran
شیوه ارجاع
Soleymani, M. Reza and Asadnia, M,1388,A Particle Swarm Optimization based Neural Network and a Harmony Search Algorithm for Surface Roughness in Face Milling,10th Iranian Conference on Manufacturing Engineering (ICME 2010),Babol
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