Abstract
Previous optimization-driven tool-path planning methods provide an effective approach to machining error control in five-axis flank milling of ruled surfaces. However, the finished part typically exhibits poor surface roughness. This paper proposes a new planning method for overcoming this problem. The proposed method generates a spline-curve-constrained tool path that produces minimized geometrical deviations on the machined surface, maintains satisfactory surface quality, and reduces the dimensionality in the solution space. A particle swarm optimization scheme was developed to determine the coefficients of the curve equations defining the constrained tool motion. A machining experiment was conducted and the measurement results validated the proposed method.
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Chu, CH., Hsieh, HT., Lee, CH. et al. Spline-constrained tool-path planning in five-axis flank machining of ruled surfaces. Int J Adv Manuf Technol 80, 2097–2104 (2015). https://doi.org/10.1007/s00170-015-7201-4
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DOI: https://doi.org/10.1007/s00170-015-7201-4