CLUSTER ANALYSIS APPROACH FOR IDENTIFYING OPTIMAL CUTTING PARAMETERS IN END MILLING OF ALUMINUM ALLOY 7136 FOR IMPROVED SURFACE ROUGHNESS

Abstract

Three cutting parameters are investigated in this study for their effect on the surface quality of aluminum alloy 7136 end milled. The major goal of the study is to use cluster analysis to discover the ideal cutting parameter combination to get the lowest surface roughness achievable. This paper examines cutting parameters and surface roughness for aluminum alloy end milling operations, finds literature gaps, and provides the experimental setup and research methodology. According to the findings, the data points are split into three categories depending on the characteristics of each individual data point. The findings are evaluated considering contemporary literature, and recommendations for further research are provided. As a consequence of this research, it is now clear how to optimize the cutting settings for end milling aluminum alloy 7136, potentially improving the usability and aesthetics of machined components.

Keywords

• cluster analysis
• cutting parameters
• end-milling process
• al7136
• surface roughness