Optimization in Turning of 11sMn30 Through Process Capability Index

Abstract

Organizations focus on the process capacity index (Cpi) to assess the quality of their components for the purpose of improving and assessing quality and reducing operational costs that improve productivity and remain competitive. In this work, the analysis of the capacity of the process is performed for the rotation operation, to analyze the performance of the process within specific limits. Three process inputs were chosen, such as spindle speed, feed and cutting depth for the study of the process capacity in the simple operation of turning the 11SMn30 alloy with carbide tool in dry conditions, using Taguchi's orthogonal L27 matrix. To optimize the process capacity index (Cpi), the output parameters are measured, ie the surface roughness of two types (Ra and Rz). Surface roughness values ​​(Ra and Rz) are optimized separately to optimize input processing parameters to find optimal cutting speed, feed and depth of cut that can maximize the capacity index of the turning process . Unique response optimization was used for the two machining qualities to explore input settings, which would optimize the spinning process. The optimal parameter settings for the average roughness of the Ra &Rz surface were found in a particular combination of spindle speed, feed rate and depth of cut. The results obtained were also verified using utility functions.