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Local interference detection and avoidance in five-axis NC machining of sculptured surfaces

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Abstract

The tool interference problem is the most critical problem faced in sculptured surface machining. This paper presents a methodology for interference detection and avoidance in five-axis NC machining of sculptured surfaces with a filleted-end cutter. The surfaces to be machined are divided into convex and non-convex regions. There is no local interference inside the convex regions. For the non-convex regions, based on the analysis of the different local interference, local gouging is first detected and avoided by determining optimal cutter orientations. Rear gouging detection and avoidance algorithms are then proposed for simple smooth surfaces and complex shaped surfaces, respectively. The techniques presented in this paper can be used to generate interference-free tool paths. The realistic results indicate that the proposed method is feasible and reliable .

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Authors and Affiliations

  1. Manufacturing Engineering Institute, Department of Precision Instruments, Tsinghua University, Beijing, P.R. China

    Tao Chen, Peiqing Ye & Jinsong Wang

Authors
  1. Tao Chen
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  2. Peiqing Ye
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  3. Jinsong Wang
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Correspondence to Tao Chen.

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Chen, T., Ye, P. & Wang, J. Local interference detection and avoidance in five-axis NC machining of sculptured surfaces. Int J Adv Manuf Technol 25, 343–349 (2005). https://doi.org/10.1007/s00170-003-1921-6

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  • DOI: https://doi.org/10.1007/s00170-003-1921-6

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