1 SPORED INTERNATIONAL JOURNAL (S.I.J) ISSN: 2971-6373 VOL 1, ISSUE 2, 2022 SURFACE ROUGHNESS OPTIMIZATION FOR TURNING ALUMINUM 6063 REINFORCED WITH COW HORN PARTICLES USING TAGUCHI TECHNIQUE Okeoma Tochukwu Franklin 1 Uwaoma Blessing 2 Nwosu J.O 3 1,3 Mechanical Engineering Department Gregory University Uturu, Abia State 2 Department of Civil Engineering Abia State Polytechnic, Aba, Abia State Abstract This study examined the surface roughness optimization for turning aluminum 6063 reinforced with cow horn particles (Al 6063-CHP) using Taguchi Technique. In order to optimize the cutting parameters when turning Aluminum 6063 reinforced with cow horn particles. Analysis of variance (ANOVA) was adopted to study how different process variables affect the machining process. This method conserves both time and material compared to the traditional method by doing away with the requirement for repeated trials. Speed, feed, and depth of cut are the turning parameters that were examined for minimal surface roughness rating. MINITAB 18 software was used to analyze the measured results. The study revealed that speed (500 rpm) has a greater influence on the Surface Roughness followed by Feed (0.7 mm/rev). Depth of Cut (0.8 mm) had least influence on Surface Roughness. Finally, the study attested that Taguchi’s optimization methodology can be used to obtain optimum condition with lowest cost, minimum number of experiments. Keywords: Turning operation, Surface Roughness, ANOVA, Taguchi Technique Introduction Metal matrix composites (MMCs) have outstanding mechanical properties because they combine a hard reinforcement phase like silicon carbide (SiC) with a ductile matrix material like aluminum or magnesium (Okokpujie et al. 2020). While the majority of the existing uses for this class of materials are in the automobile and aerospace industries, their research and development