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  • 标题:Optimization method for complex surface partitioning and cutting parameters in 5-axis machining
  • 本地全文:下载
  • 作者:Liangji Chen ; Zhiguang Li ; Zhi Liu
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2022
  • 卷号:358
  • 页码:1-4
  • DOI:10.1051/matecconf/202235801035
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:For complex surfaces with variable geometric features and high processing requirements, the current stage still uses more conservative machining cutting parameters to generate five-axis machining tool positions, which inevitably leads to some parts not to obtain the best cutting state, and the generated machining tool positions are poorly adapted, so it will produce a great processing deformation error seriously affects the surface quality. In addition, conservative cutting parameters applied to different geometric features of the surface area is very likely to induce dramatic changes in the machining process cutting forces and machine motion parameters, resulting in uneven distribution of machining errors and local super poor, seriously affecting the quality of machining. In five-axis machining, due to the introduction of two rotary axes, the tool vector can be rotated arbitrarily in the spatial domain. When machining complex surfaces, the distance between the tool center coordinates and the oscillation center or rotation center of the five-axis machine will change with the curvature of the surface. surface quality. Therefore, the optimization of tool cutting parameters in 5-axis simultaneous machining is a technical bottleneck that needs to be solved urgently.
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