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Thermal error modeling of electric spindles based on cuckoo algorithm optimized Elman network

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Abstract

In order to improve the accuracy of the thermal error model of the electric spindle, a thermal error modeling method based on the optimized Elman neural network using the cuckoo algorithm is proposed. To analyze the thermal behavior of the electric spindle, an ANSYS analysis approach is utilized to create a temperature map. Based on the simulation analysis outcomes, an experimental platform is established to gather temperature data and thermal displacement data. The electric spindle temperature is optimized through the utilization of fuzzy cluster analysis and the Spearman rank correlation coefficient method in combination. The comparison between the established model and the Elman model and the GA-Elman model proves that the CS-Elman model has good prediction accuracy and stability.

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All the data are required by experimental measurement in the article. On the basis of experimental theory, the calculation results of data are obtained.

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Funding

This research was funded by the National Natural Science Foundation of China, grant number 52075134, the Opening Project of the Key Laboratory of Advanced Manufacturing and Intelligent Technology (Ministry of Education), Harbin University of Science and Technology, grant number KFKT202105, the Joint Guidance Project of Natural Science Foundation of Heilongjiang Province, grant number LH2019E062, and the Special Funding for Postdoctoral Fellows in Heilongjiang Province, grant number LBH-Q20097.

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Authors and Affiliations

  1. Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin, 150080, China

    Ye Dai, Xin Wang & Zhaolong Li

  2. Institute of Digital Design and Automatic Machinery Product Development, Harbin University of Science and Technology, Harbin, 150080, China

    Ye Dai, Zhaolong Li, Sai He, Baolei Yu & Xingwen Zhou

Authors
  1. Ye Dai
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  2. Xin Wang
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  3. Zhaolong Li
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  4. Sai He
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  5. Baolei Yu
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  6. Xingwen Zhou
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Contributions

The research work of this paper is the result of the joint efforts of the whole team. Ye Dai provided the research direction and experimental ideas. Xin Wang completed the experimental design and model simulation and wrote a paper. Gang Wang and Sai He assisted in the experimental verification. Xingwen Zhou assisted in the experimental simulation. Zhaolong Li checked the content and language of the paper. Baolei Yu reviewed the paper.

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Correspondence to Ye Dai.

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Dai, Y., Wang, X., Li, Z. et al. Thermal error modeling of electric spindles based on cuckoo algorithm optimized Elman network. Int J Adv Manuf Technol 132, 1365–1375 (2024). https://doi.org/10.1007/s00170-024-13327-y

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