Abstract
This paper investigates the profitability of a dual-curve driven surface finish tool path under the concept of optimizing crucial machining parameters such as toroidal end-mill diameter, lead angle and tilt angle. Surface machining error as well as tool path time are treated as optimization objectives under a multi-criteria sense, whilst a central composite design is conducted to obtain experimental outputs for examination and, finally, fit a full quadratic model considered as the fitness function for process optimization by means of a genetic algorithm. A benchmark sculptured surface given as a second-order parametric equation was tested and simulated using a cutting-edge manufacturing modeling software and best parameters recommended by the genetic algorithm were implemented for validation. Further assessment involves the virtual inspection to selected profile sections on the part. It was shown that the approach can produce dual-curve driven tool trajectories capable of eliminating sharp scallop heights, maximizing machining strip widths as well as maintaining smoothness quality and machining efficiency.
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Fountas, N.A., Živković, S., Benhadj-Djilali, R., Stergiou, C.I., Majstorovic, V.D., Vaxevanidis, N.M. (2017). Intelligent Dual Curve-Driven Tool Path Optimization and Virtual CMM Inspection for Sculptured Surface CNC Machining. In: Majstorovic, V., Jakovljevic, Z. (eds) Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies. NEWTECH 2017. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-56430-2_25
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DOI: https://doi.org/10.1007/978-3-319-56430-2_25
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