Study of surface roughness variability in end milling of Al7136 alloy using row wise statistics analysis

Abstract. This study aims to investigate the surface roughness (Ra) of machined surfaces using a dataset comprising 150 experiments. By analyzing the influence of key machining parameters—cutting speed, depth of cut, and feed per tooth—on Ra, this research seeks to optimize the machining process for achieving superior surface finishes. The methodological challenge lies in effectively analyzing the dataset, which involves calculating summary statistics, including means, standard errors, and confidence intervals, for all 150 records. The results indicate an average value of surface roughness around 165.68 µm, with a standard error of approximately 164.661 µm, highlighting the significant impact of machining parameters on these values. The conclusions suggest that optimizing machining parameters can lead to improved quality of machined surfaces and, consequently, reduced production costs, emphasizing the need for further research to explore the relationship and propose efficient methods for optimizing the machining process.