Modeling and Optimization of Turning Parameters during Machining of AA6061 composite using RSM Box-Behnken Design. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Kumar, Vidyanand; Kharub, Manjeet; Sinha, Animesh
• Is Part Of: IOP conference series. Volume 1057:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1057/1/012058
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: CNC machines are currently dominating the machining manufacturing industries. Machining parameters that assume a significant job are shaft speed, feed rate and depth of cut in choosing quality machining. Point of present examination is to locate the ideal turning parameters, and its impact on response during machining of aluminium alloy 6061 with carbide embeds tool. Three process parameters have been adopted to obtain maximum material removal rate and better surface finish using response surface methodology RSM. Box-Behnken with three factors and their level that consists 15 runs has been used for experimentation and analysis purpose. The mathematical model has been made to anticipate the responses against chosen parameters. The 3D plot shows the interaction effect between input parameters and output. Results indicate that feed is the most influential factor for surface roughness and depth of cut have a significant contribution in material removal. Further, optimize the parameters for minimum surface roughness and maximum MRR, the optimum parameters are 1800 rpm spindle speed, 0.15mm/rev feed rate and 1.5mm depth of cut. The experimental results were analyzed utilizing Design Expert 12 solver.