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Face gear generating grinding residual model based on the normal cutting depth iterative method

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Abstract

The generating grinding method has the characteristics of high machining accuracy and high efficiency. Therefore, it is widely used in the finishing process of the face gear tooth surface. The physical performance of the grinding process is an important factor that influences the machining accuracy of the face gear tooth surface. Therefore, to improve the manufacturing accuracy of the face gear, it is necessary to accurately simulate the grinding process of the face gear. Owing to the influence of the complex spatial geometric characteristics of the face gear tooth surface and the grinding wheel, establishing a surface residual modeling method for the face gear is a key challenge in simulating the generating grinding process. To address the aforementioned issues, this study proposes a normal cutting depth iterative method to calculate the grinding residual in the face gear generating grinding process. This method considers the complex 3D spatial characteristics of the face gear tooth surface and establishes the spatial residual model of each node of the face gear surface in the process of generating grinding. Compared with other residual algorithms based on 2D truncation or Boolean operation of face gears, this algorithm has higher computational accuracy and efficiency. Thus, it lays the foundation for accurately establishing the complex spatial microscopic surface topography in the face gear generating grinding process.

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Data availability

All data generated during this study are included in this published article.

Code availability

Some parts of the code about the mathematical model during the current study are available from the corresponding author on reasonable request.

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Funding

This work was financially supported by the National Natural Science Foundation of China (No.51905459) by Zhiqin Cai, the Natural Science Foundation of Fujian Province (No.2020J01274) by Binjing Lin, the STS Science and Technology Foundation of Fujian Province (No.2021T3069) by Haipeng Huang, and State Key Laboratory of Mechanical Transmission Chongqing University (No. SKLMT-MSKFKT-202003) of Zhiqin Cai.

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Authors and Affiliations

  1. School of Mechanical and Automative Engineering, Xiamen University of Technology, Jimei District, Xiamen, 361021, Fujian Province, China

    Sijie Cai, Jianchun Liu, Haipeng Huang, Bingjing Lin, Jianchun Lin & Haibin Huang

  2. Department of Mechanical and Electrical Engineering, Xiamen University, Xiang’an District, Xiamen, 361106, Fujian Province, China

    Zhiqin Cai & Bin Yao

  3. The State Key Laboratory of Mechanical Transmission, Chongqing University, Shazhengjie, Shapingba, Chongqing, Chongqing, 400044, China

    Zhiqin Cai

  4. School of the Mechanical and Energy Engineering, Jimei University, Jimei District, Xiamen, 361021, Fujian Province, China

    Zhihuang Shen

Authors
  1. Sijie Cai
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  2. Zhiqin Cai
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  3. Bin Yao
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  4. Zhihuang Shen
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  5. Jianchun Liu
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  6. Haipeng Huang
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  7. Bingjing Lin
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  8. Jianchun Lin
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  9. Haibin Huang
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Contributions

Sijie Cai established the grinding residual mathematical model and the north cutting depth iterative mathematical model and write the codes of these algorithms. Jianchun Liu, Zhiqin Cai, and Bin Yao design the experiments of the face gear tooth surface errors measurement. Haipeng Huang, Bingjing lin, Jianchun Lin, and Haibin Huang proposed the fund of the face gear machining and measuring experiments.

Corresponding author

Correspondence to Zhiqin Cai.

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Sijie Cai, Zhiqin Cai, Bin Yao, Zhihuang Shen, Jianchun Liu, Haipeng Huang, Bingjing Lin, Jianchun Lin, and Haibin Huang are willing to be listed as the author of this essay. We further confirm that all authors have checked the manuscript.

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This manuscript is our original work and has not been published nor has it been submitted simultaneously elsewhere, in whole or in part. We further confirm that all authors have checked the manuscript and have agreed to the publication.

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The authors declare no competing interests.

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Cai, S., Cai, Z., Yao, B. et al. Face gear generating grinding residual model based on the normal cutting depth iterative method. Int J Adv Manuf Technol 126, 355–369 (2023). https://doi.org/10.1007/s00170-023-11121-w

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  • DOI: https://doi.org/10.1007/s00170-023-11121-w

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