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Tool path planning for flank milling of non-developable ruled surface based on immune particle swarm optimization algorithm

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Abstract

Aiming at the tool position optimization problems in flank milling of non-developable ruled surface with conical tools, a new method based on immune particle swarm optimization (IPSO) and least squares (LS) is proposed. The geometric features of the non-developable ruled surface are analyzed and the error measurement function under each tool position is used as the objective function of the intelligent algorithm. It means that the sum of the distances from the discrete points on the axis of the conical tool to the design surface is the minimum by adjusting the cutter axis and the offset distance to the design surface. The initial tool position is determined by two-point offset method. On this basis, the objective function is optimized by the immune particle swarm optimization algorithm to obtain the optimized tool position. Since the geometric decomposition method is adopted, the optimization is essentially a local optimization, so the least squares method is further used for global optimization, and the overall optimized tool position is obtained. The simulation results show that the machining error is reduced by 86% and the validity of the method is verified by machining experiments finally.

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Availability of data and materials

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Funding

The research is sponsored by the National Natural Science Foundation of China (No. 51775328 and No. 51705306).

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Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, People’s Republic of China

    Yecui Yan, Liqiang Zhang & Jinwei Gao

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  1. Yecui Yan
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  2. Liqiang Zhang
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  3. Jinwei Gao
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Contributions

Yecui Yan contributed to the conceptualization, writing, and editing. Liqiang Zhang contributed to the methodology. Jinwei Gao provided resources and performed experiment verification.

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Correspondence to Liqiang Zhang.

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Yan, Y., Zhang, L. & Gao, J. Tool path planning for flank milling of non-developable ruled surface based on immune particle swarm optimization algorithm. Int J Adv Manuf Technol 115, 1063–1074 (2021). https://doi.org/10.1007/s00170-021-07263-4

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