Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (10): 2546-2553.doi: 10.13229/j.cnki.jdxbgxb.20250780
Ling-yu ZHAO1(
),Ze-cun GAO1,Hui-ying ZHAO2
CLC Number:
| [1] | Li Yu, Tian Hong-chuan, Liu Di-fei, et al. Thermal error analysis of five-axis machine tools based on five-point test method[J]. Lubricants, 2022, 10(6): 122. |
| [2] | Shi Hu, Xiao Yao, Mei Xue-song, et al. Thermal error modeling of machine tool based on dimensional error of machined parts in automatic production line[J]. ISA Transactions, 2023, 135: 575-584. |
| [3] | Nico Zimmermann, Lang Sebastian, Josef Mayr, et al. Validating real time compensation: a thermal test piece for 5-axis machine tools to separate thermal errors in Z-direction[J]. Precision Engineering, 2024, 91: 263-277. |
| [4] | Mu Sen, Yu Chun-ping, Lin Kun-long, et al. A review of machine learning—based thermal error modeling methods for CNC machine tools[J]. Machines, 2025, 13(2): 153. |
| [5] | Gu Geon-woo, Min-suk Park, Jun-ho Suh,et al. A technique for integrated compensation of geometric errors and thermal errors to improve positional accuracy of hole machining in large-size parts[J]. International Journal of Precision Engineering and Manufacturing, 2024, 25(8): 1541-1555. |
| [6] | Wu Shi, Wang Yu-peng, Liu Xian-li, et al. Separating machining errors of S-shaped samples based on the comprehensive error field of five-axis machine tools[J]. Journal of Mechanical Science and Technology, 2023, 37(1): 305-316. |
| [7] | Feng Zhi-ming, Min Xing-long, Jiang Wei, et al. Study on thermal error modeling for cnc machine tools based on the improved radial basis function neural network[J]. Applied Sciences-Basel, 2023, 13(9): 5299. |
| [8] | Song Lei, Liu Kuo, Zhao Di, et al. The spindle axial time-varying thermal error compensation method for horizontal boring and milling machine tool based on edge computing[J]. International Journal of Advanced Manufacturing Technology, 2023, 128(5,6): 2631-2638. |
| [9] | Mohsen Soori, Behrooz Arezoo. Dimensional, geometrical, thermal and tool deflection errors compensation in 5-axis CNC milling operations[J]. Australian Journal of Mechanical Engineering, 2023, 22(5): 935-949. |
| [10] | Li Zong-ze, Vogl Gregory W, Kinzel Edward C, et al. Machine tool thermal error measurement and prediction via wireless microscope[C]∥The 52nd SME North American Manufacturing Research Conference, Knoxville, USA,2024: 1440-1451. |
| [11] | Sun Jia-cheng, Liu Zhen-yu, Qiu Chan, et al. An axial attention-BiLSTM-based method for predicting the migration of CNC machine tool spindle thermal error under varying working conditions[J]. International Journal of Advanced Manufacturing Technology, 2024, 130(3,4): 1439-1449. |
| [12] | Cui Chang, Zan Tao, Ma Sheng-kai, et al. Thermal image-driven thermal error modeling and compensation in CNC machine tools based on deep attentional residual network[J]. International Journal of Advanced Manufacturing Technology, 2024, 134(7,8): 3153-3169. |
| [13] | Li Hua-dong, Liu Jing-jun, Li Yang. Research on optimization of temperature sensitive points of machine tool thermal error based on independent variable selection criteria[J]. Scientific Reports, 2025, 15(1): 14082. |
| [14] | Benat Inigo, Natalia Colinas-Armijo, Luis-norberto-lopez Lacalle, et al. Digital twin for volumetric thermal error compensation of large machine tools[J]. Sensors, 2024, 24(19): 6196. |
| [15] | 郭世杰, 张学炜, 张楠, 等. 机床主轴热关键点选择与典型转速热误差预测[J]. 吉林大学学报: 工学版,2023, 53(1): 72-81. |
| Guo Shi-jie, Zhang Xue-wei, Zhang Nan, et al. Thermal key point select and error prediction under typical speed of machine tool spindle[J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 72-81. | |
| [16] | Wang Yu-peng, Wu Shi, Liu Xian-li, et al. Modeling and analysis of axial thermal error in machining space of double-swing five-axis machine tool[J]. International Journal of Advanced Manufacturing Technology, 2023, 128(11,12): 5179-5194. |
| [17] | Peng Liang, Chen Zhen-lei, Cheng Lei-lei, et al. Research on optimal multivariate thermal error modeling based on finite-element analysis[J]. Proceedings of the Institution of Mechanical Engineers Part E: Journal of Process Mechanical Engineering, 2024, 238(4): 1792-1799. |
| [18] | Weng Ling-tao, Gao Wei-guo, Zhang Da-wei, et al. Thermal analytical modeling of machine tool structural components via dual-layer equivalence[J]. International Journal of Heat and Mass Transfer, 2024, 221: 125083. |
| [19] | Fu Guo-qiang, Zhou Lin-feng, Zheng Yue, et al. Improved unscented Kalman filter algorithm-based rapid identification of thermal errors of machine tool spindle for shortening thermal equilibrium time[J]. Measurement, 2022, 195: 111121. |
| [20] | Wei Xin-yuan, Ye Hong-han, Miao En-ming, et al. Thermal error modeling and compensation based on Gaussian process regression for CNC machine tools[J]. Precision Engineering, 2022, 77: 65-76. |
| [21] | Huang Yu-bin, Hong Hong-you, Zhou Hui-chen, et al. Real-time surrogate compensation architecture for machine-tool thermal error compensation with high-performance model[J]. Discover Applied Sciences, 2025, 7(1): 1-14. |
| [22] | Weng Ling-tao, Gao Wei-guo, Zhang Da-wei, et al. Analytical modelling of transient thermal characteristics of precision machine tools and real-time active thermal control method[J]. International Journal of Machine Tools and Manufacture, 2023, 186: 104003. |
| [23] | Chen Gang, Wang Kun-chieh. Real-time thermal error compensation of machine tools based on machine learning model and actual cutting measurement via temperature sensors[J]. Sensors and Materials, 2024, 36(10): 4221-4238. |
| [24] | Guo Xiao-guang, Wei Yan-jun, Jin Zhu-ji, et al. A numerical model for optical glass cutting based on SPH method[J]. International Journal of Advanced Manufacturing Technology, 2013, 68(5-8): 1277-1283. |
| [25] | Liu Ming, Wu Jia-nan, and Gao Cheng-hui. Sliding of a diamond sphere on K9 glass under progressive load[J]. Journal of Non-Crystalline Solids, 2019, 526: 119711. |
| [26] | Zheng Lian-qing, Schmid Ansger W, Lambropoulos John C. Surface effects on Young's modulus and hardness of fused silica by nanoindentation study[J]. Journal of Materials Science, 2007, 42(1): 191-198. |
| [27] | 张兆顺. 流体力学[M]. 北京: 清华大学出版社, 2002. |
| [28] | 徐芝纶. 弹性力学[M]. 5版. 北京: 高等教育出版社, 2016. |
| [29] | Liu Jia-lan, Ma Chi, Gui Hong-quan, et al. Thermally-induced error compensation of spindle system based on long short term memory neural networks[J]. Applied Soft Computing, 2021, 102: 107094. |
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