Digital twin driven thermal error control of linear axis for face gear grinding machine tool

The face gear transmission system offers advantages such as high interchangeability, strong load capacity, and effective power distribution, making it suitable for defense applications. The machining accuracy of the face gear grinding machine tool is significantly affected by the geometric and thermal errors, leading to a reduced geometric precision of the machined face gear. The real-time performance and robustness of the geometric and thermal error compensation system are the key to realize the thermal error control. So far, the real-time performance of compensation system is weak, and the robustness is poor. To address the above challenges, the effect of the temperature changes on positioning accuracy is studied. Then the thermal error prediction model is established based on the error mechanism for the linear axis of face gear grinding machine tool. Finally, the digital twin-driven thermal error control system is developed. The thermal error model is embedded into the digital twin-driven geometric and thermal error control system to realize the thermal error compensation of linear axis for face gear grinding machine tool. With the implementation of the digital twin-driven thermal error control system, the left tooth surface error decreased from 21.8 μm to 5.9 μm, and the right tooth surface error decreased from 22.9 μm to 5.7 μm, confirming the effectiveness of the proposed method.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.075
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Digital twin driven thermal error control of linear axis for face gear grinding machine tool

Chi Ma, Jialan Liu, Giovanni Totis, Mingming Li
1 citations
Procedia CIRP
Iterative Learning Control Systems
1.21
article

Digital twin driven thermal error control of linear axis for face gear grinding machine tool

Chi Ma, Jialan Liu, Giovanni Totis, Mingming Li
article en
1 citations

Abstract

The face gear transmission system offers advantages such as high interchangeability, strong load capacity, and effective power distribution, making it suitable for defense applications. The machining accuracy of the face gear grinding machine tool is significantly affected by the geometric and thermal errors, leading to a reduced geometric precision of the machined face gear. The real-time performance and robustness of the geometric and thermal error compensation system are the key to realize the thermal error control. So far, the real-time performance of compensation system is weak, and the robustness is poor. To address the above challenges, the effect of the temperature changes on positioning accuracy is studied. Then the thermal error prediction model is established based on the error mechanism for the linear axis of face gear grinding machine tool. Finally, the digital twin-driven thermal error control system is developed. The thermal error model is embedded into the digital twin-driven geometric and thermal error control system to realize the thermal error compensation of linear axis for face gear grinding machine tool. With the implementation of the digital twin-driven thermal error control system, the left tooth surface error decreased from 21.8 μm to 5.9 μm, and the right tooth surface error decreased from 22.9 μm to 5.7 μm, confirming the effectiveness of the proposed method.

Procedia CIRPVol. 133
University of Udine (IT), Chongqing University (CN), Chang'an University (CN), Shenzhen Academy of Aerospace Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 23%
Iterative Learning Control Systems
1.21
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Digital twin driven thermal error control of linear axis for face gear grinding machine tool — Chi Ma, Jialan Liu, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS