Abstract
Free-form surfaces are widely used in CAD systems to describe the part surface. Today, the most advanced machining of free from surfaces is done in five-axis machining using a flat end mill cutter. However, five-axis machining requires complex algorithms for gouging avoidance, collision detection and powerful computer-aided manufacturing (CAM) systems to support various operations. An accurate and efficient method is proposed for five-axis CNC machining of free-form surfaces. The proposed algorithm selects the best tool and plans the toolpath autonomously using curvature matching and integrated inverse kinematics of the machine tool. The new algorithm uses the real cutter contact toolpath generated by the inverse kinematics and not the linearized piecewise real cutter location toolpath.
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This paper was recommended for publication in revised form by Associate Editor Jooho Choi
Than Lin is currently a Ph.D candidate in Aerospace Information Engineering at Konkuk University, Seoul, Korea. He received his M. Eng in Design & Manufacturing Engineering from the Asian Institute of Technology, Thailand, in 1999, and B.Eng in Mechanical Engineering from Yangon Institute of Technology, Myanmar in 1992. His research interests include Multi-Axis Machine Tools, CAD/CAM, Discrete Event Simulation (DES), Integrated Product Design & Process Development (IPPD), Multidisciplinary Design Optimization (MDO), and e-Manufacturing.
Jae-Woo Lee received his B.S. and M.S. in Aerospace Engineering from Seoul National University, in 1984 and 1986 respectively. He then received Ph.D. from Virginia Polytechnic Institute and State University in 1991. Dr. Lee is currently a Professor at the School of Aerospace Information Engineering at Konkuk University in Seoul, Korea. He serves as an Editor of the Journal of Korean Council on Systems Engineering, KCOSE. Dr. Lee’s research interests include Aerodynamic design and optimization, Multidisciplinary optimization, Aerospace vehicle design, Computational fluid dynamics, e-Manufacturing.
Erik L.J. Bohez is an Associate Professor in Design and Manufacturing. He is teaching Advanced Manufacturing Processes, CAD/CAM, FMS, Multi-Axis Machine Tools, Eco-Design and Manufacturing Systems. From 1980-1983 he was a Professor in the Ecole Nationale d’Ingenieur, Bamako, Mali. He is a graduate of the State University of Ghent in Belgium. His research interests include Hyper-Redundant Bio-Inspired Robots, Modeling of FMS by PetriNet, Simulation of Metal Removal Process, Robust Control, 5-axis Machining, Adaptive Control, CNC, Packaging Technology, and Biomedical Engineering. He has been a consultant to UNIDO, UNESCO and other international organizations.
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Lin, T., Lee, JW. & Bohez, E.L.J. A new accurate curvature matching and optimal tool based five-axis machining algorithm. J Mech Sci Technol 23, 2624–2634 (2009). https://doi.org/10.1007/s12206-009-0724-6
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DOI: https://doi.org/10.1007/s12206-009-0724-6