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Optimization of bone drilling parameters using grey-based fuzzy algorithm
Affiliation:1. DVR & Dr HS MIC College of Technology, Kanchikacherla, A.P., 521180, India;2. Indian Institute of Technology, Tirupati, A.P., 517506, India;1. Department of Continuum Mechanics and Structural Analysis, University Carlos III of Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain;2. Department of Mechanical Engineering, University Carlos III of Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain;3. Department of Mechanical and Materials Engineering (CITV), Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain;1. Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India;2. Department of Petroleum Engineering, Universiti Teknologi Petronas, Ipoh, Malaysia;1. Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, LE11 3TU, Leics, UK;2. Department of Mechanical, Material and Manufacturing Engineering, The University of Nottingham, NG7 2RD, Nottingham, UK
Abstract:In this article a modified algorithm (grey based fuzzy algorithm) is used to optimize multiple performance characteristics in drilling of bone. Experiments have been performed with different cutting conditions using full factorial design. The quality parameters considered are temperature, force and surface roughness. Grey relational analysis (GRA) coupled with fuzzy logic is employed to obtain a grey fuzzy reasoning grade (GFRG) combining all the quality characteristics. The highest GFRG is obtained for the feed rate of 40 mm/min and the speed of 500 rpm and is the optimal level. Analysis of variance (ANOVA) carried out to find the significance of parameters on multiple performance characteristics revealed that the feed rate has the highest contribution on GFRG followed by the spindle speed. The optimum level of the process parameters obtained is validated by the confirmation experiment.
Keywords:Grey relational analysis (GRA)  Fuzzy logic  Optimization  Multiple performance characteristics  Bone drilling  Analysis of variance (ANOVA)
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