A study of drilling performances with minimum quantity of lubricant using fuzzy logic rules |
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| Authors: | Arup Kumar Nandi J. Paulo Davim |
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| Affiliation: | 1. Central Mechanical Engineering Research Institute, MG Avenue, Durgapur 713 209, West Bengal, India;2. Department of Mechanical Engineering, University of Aveiro Campus Santiago, 3810-193 Aveiro, Portugal;1. Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, Bratislava, Slovakia;2. Department of Chemical and Biochemical Engineering, Technische Universität Dortmund, Emil-Figge-Strasse 70, 44221 Dortmund, Germany;3. Department of Food Engineering, Corvinus University of Budapest, Ménesi út 44, 1118 Budapest, Hungary;4. Institute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen Giessen, Wiesenstrasse 14, 35390 Giessen, Germany;1. Mechanical Engineering Department, Institute of Infrastructure Technology, Research and Management, Ahmedabad 380008, India;2. Faculty of Mechanical Engineering, University of Ljubljana, Askerceva 6, Ljubljana 1000, Slovenia;3. Faculty of Mechanical Engineering, Opole University of Technology, Opole, Poland;1. Department of Mechanical Engineering, Kongunadu College of Engineering and Technology, India;2. Department of Mechanical Engineering, KCG College of Technology, India;3. Department of Mechanical Engineering, Paavai Engineering College, India;1. Manufacturing Engineering Group, Islamic Azad University, Dehaghan Branch, Dehaghan, Iran;2. Department of Mathematics, Tarbiat Modares University, Tehran, Iran;1. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao, 266520, China;2. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China;3. State Key Laboratory Mechanical Transmiss, Chongqing University, Chongqing, 400044, China;4. Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education & Zhejiang Province, Zhejiang University of Technology, Hangzhou, 310032, China;5. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China;6. College of Engineering, University of Sharjah, Sharjah, 27272, United Arab Emirates;7. Mechanical Engineering Department, Curtin University, Miri, 98009, Malaysia;8. Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia |
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| Abstract: | Nowadays the increasing interest to perform machining operations is in dry/near-dry environments. The reason includes health and safety of operator, cost, ease of chip recyclability, etc. However one important process, which is difficult to perform in dry, is drilling. Without coolant, drilling leads to excessive thermal distortion and poor tool life. In order to tackle these conflicting requirements, the essentiality of study on machining performances with minimum quantity lubricant (MQL) becomes important.Fuzzy logic rules, which are derived based on fuzzy set theory, are used to develop fuzzy rule based model (FRBM). The performance of FRBM depends on two different aspects: structures of fuzzy rules and the associated fuzzy sets (membership function distributions, MFDs). The aim of this study is to investigate the performances of FRBMs based on Mamdani and TSK-types of fuzzy logic rules with different shapes of MFDs for prediction and performance analysis of machining with MQL in drilling of aluminum alloy. A comparison of the model predictions with experimental results and those published in the literature shows that FRBM with TSK-type fuzzy rules describes excellent trade-off with experimental measurements. |
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