Multi-constrained optimization in ball-end machining of carbon fiber-reinforced epoxy composites by PSO

• Main Authors: Hamzeh Shahrajabian, Masoud Farahnakian
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2015-12-01
• Series: Cogent Engineering
• Subjects: ball-end milling; machining parameters; machining force; surface roughness
• Online Access: http://dx.doi.org/10.1080/23311916.2014.993157

This paper presents an approach for the determination of the optimal machining parameters (spindle speed, feed rate and depth of cut) in ball-end milling process of carbon fiber-reinforced plastics (CFRP). In this case, considering the machining force and surface roughness as the constrains, maximum material removal rate is created through coupling response surface method (RSM) and particle swarm optimization (PSO). Many experiments on CFRP were conducted to obtain machining force and surface Roughness values, and then analysis of variance was performed. In order to predict constrains values, RSM was selected to create mathematical relation between machining parameters and constrains. The material removal rate constituted the main function for PSO and machining force, and also surface roughness were applied to the input function of PSO. In this study, the function was optimized by PSO code, and the optimum parameters were obtained. Finally, the results of PSO were tested experimentally and compared with numerical results.