Turning Parameters Optimization using Particle Swarm Optimization

Manufacturing technologies are currently defined as on basics of adoptability, autonomous production, and level of automatization. As we modernize the manufacturing lines, subsequently we are required to update and integrate most modern technologies in order to keep the business competitive. In such way, we can assure cheaper products, shorter manufacturing times, lowering of the production costs. Due to the dynamic processes and increase of the machining parameters optimizing the information which is essential for production got significantly harder. For solving such problems, we have to turn our choice onto the intelligent methods, such as Particle swarm optimization or similar type of intelligent optimization. In this paper we present a proposal, how to successfully gain optimal cutting parameters - cutting speed, feedrate and cutting depth for certain requirements such as cutting force, surface finish - roughness and cutting tool life. (C) 2014 The Authors. Published by Elsevier Ltd.