Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19493
Title: A tool path optimization approach based on blend feature simplification for multi-cavity machining of complex parts
Authors: Xin, Y
Yang, S
Wang, G
Evans, R
Wu, F
Keywords: Smart process planning,;tool path optimization,;blend feature,;multi-cavity machining,;digital manufacturing
Issue Date: 16-Sep-2019
Publisher: Science Reviews 2000
Citation: Science Progress, 2019, pp. 003685041987423 - 003685041987423
Abstract: Blend features usually exist in the machining of complex multi-cavity parts; however, the ideal linear boundary of the cavity is shown as an arc curve at actual corner machining, which affects the accuracy of a robot’s tool feed position. Focused on this problem, this article presents an automatic tool path planning approach based on blend feature simplification. By analyzing the geometric elements of blend feature, a line segment is constructed to obtain the machining boundary, while the robot tool feed position is accurately measured. On this basis, the coordinates of a robot tool feed position are assigned to the machining element, which can be used to calculate the spatial distance between different cavities. Then, an improved genetic algorithm is applied to improve the optimization of the tool path. The automatic decision of the corresponding work steps is realized by merging and sorting the machining elements. Finally, a corresponding prototype system is presented, with the correctness and validity of the proposed approach being examined, using aircraft structural part machining as an illustrative example.
URI: http://bura.brunel.ac.uk/handle/2438/19493
DOI: http://dx.doi.org/10.1177/0036850419874233
ISSN: 0036-8504
http://dx.doi.org/10.1177/0036850419874233
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