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Fuzzy control of spindle power in end milling processes
Authors:Ming Liang   Tet Yeap   Saeed Rahmati  Zhixin Han
Affiliation:1. Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada K1N 6N5;2. School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada K1N 6N5;3. Nortel Networks, 3500 Carling Avenue, Nepean, Ontario, Canada K2H 8E9;1. Groupe de Recherche en Microélectronique et Microsystèmes, Polytechnique de Montréal, Montréal, QC, Canada;2. Department of ECE, Tennessee Technological University, Cookeville, TN, United States;3. Department of ECE, Concordia University, Montréal, QC, Canada;1. Industrial Engineering Center, Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, Zhejiang University, Hangzhou 310027, Zhejiang, China;2. School of Aerospace, Transportation and Manufacturing, Cranfield University, Cranfield MK43 0AL, United Kingdom;3. Xi''an Research Institute of Navigation Technology, Xi''an 710068, Shaanxi, China;4. Shandong University of Science and Technology, Qingdao 266590, China;1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China;2. Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, 08028, USA;1. Singapore Institute of Manufacturing Technology, 71 Nanyang Drive, Singapore 638075, Singapore;2. School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom
Abstract:This paper reports a fuzzy control system for power regulation in end milling processes. This control system is capable of adjusting both feedrate and spindle speed simultaneously. Experiments have been carried out using both steel and aluminum workpieces of various cutting geometries. Different tools (HSS and carbide tools of different diameters and different number of teeth) have been used for aluminum workpieces. Both full immersion slotting and partial immersion cutting were tested. Our test results show that the system was in sensitive to workpiece and tool changes and cutting power was well regulated around the target levels for various types of variations in depth of cut. Our test results also show that as compared to single parameter (feedrate) adjustment, further savings in machining time can be achieved by adjusting both feedrate and spindle speed.
Keywords:Fuzzy control   End milling   Multiple parameter adjustment
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