The intention of the present study is to determine surface roughness (Ra) and MRR which are key responses to justify the quality of turning operation. Four process parameters have been selected viz. Nose radius (NR), depth of cut (DOC), feed rate (FR) and spindle speed or cutting speed (CS) that influences these responses. | Optimization of turning parameters of Aluminum 6351 T6 using Taguchi decision making technique International Journal of Data and Network Science 1 2017 27 38 Contents lists available at GrowingScience International Journal of Data and Network Science homepage ijds Optimization of turning parameters of Aluminum 6351 T6 using Taguchi decision making tech- nique a a Shofique Ahmed and Rajesh Arora a Department of Mechanical Engineering Amity University Haryana-122413 India CHRONICLE ABSTRACT Article history Turning is the utmost elementary process among several CNC machine tool operations which is Received October 1 2017 a versatile efficient and widely used in industries including mechanical aerospace and automo- Received in revised format No- tive sectors. Most frequently the manufacturing industries face the problem of cutting down the vember 16 2017 production cost without any oblation in the quality of products. Selection of process parameter is Accepted June 4 2018 Available online essential for assuring a quality product. Convenient choice of the cutting conditions parameters June 4 2018 and tools for the maximum Material removal rate MRR and surface finish needs a sophisticated Keywords approach adopting mathematical and statistical models as well as experimental method. Taguchi s Turning process method is a very compelling tool to optimize the process variables. The intention of the present Surface Roughness study is to determine surface roughness Ra and MRR which are key responses to justify the Material Removal Rate quality of turning operation. Four process parameters have been selected viz. Nose radius NR Taguchi s Method depth of cut DOC feed rate FR and spindle speed or cutting speed CS that influences these Signal to Noise ratio responses. During machining operations the influence of the process parameters and their inter- ANOVA action have been analyzed using a statistical tool ANOVA. Aluminum alloy is widely acceptable by .
