Optics and Precision Engineering, Volume. 31, Issue 1, 129(2023)
Thermal error prediction for grinding machine spindle based on heat conduction and convolutional neural network
Figures & Tables(15)
Fig. 1. Temperature of micromaterial unit and its surrounding environment at
Fig. 8. Experimental results of spindle thermal deformation with different rotation speeds
Table 1. Measuring instruments for thermal deformation of main shaft
View tableView in ArticleTable 1. Measuring instruments for thermal deformation of main shaft
实验器材 模 块 参数设置 RS485热采集模块 YanHua 8211 12个温度输入接口和采样精度±0.01 ℃ 红外仪器 Fluke TV46 测量范围：-20~150 ℃，精度为“A”级（0.15℃+ 0.002 t） IEC-751标准 电容传感器 Displacement HA-100 最大采样频率为50 kHz；线性测量精度±0.5×10-6
Table 2. Experimental parameters for thermal deformation measurement of main shaft
View tableView in ArticleTable 2. Experimental parameters for thermal deformation measurement of main shaft
转速/（r·min-1） 运转时间/min 冷却时间/min 环境温度/℃ 总时间 /min 应用 1 500 100 100 20±1 200 训练 500 100 100 20±1 200 实验 1 000 100 100 20±1 200 实验 1 500 100 100 20±1 200 实验 2 000 100 100 20±1 200 实验 2 500 100 100 20±1 200 实验 3 000 100 100 20±1 200 实验
Table 3. Comprehensive test parameters
View tableView in ArticleTable 3. Comprehensive test parameters
转速/（r·min-1） 时间/min 500 40 1 500 40 1 000 40 1 500 40 0 40
Table 4. Thermal error compensation results
View tableView in ArticleTable 4. Thermal error compensation results
误差值 方法一 方法二 提 升 AE/mm 0.004 3 0.002 3 46.5% AC/mm 0.002 4 0.001 4 41.7% AD/mm 0.003 7 0.002 1 43.2%
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Peitong WANG, Jinwei FAN, Xingfei REN, Zhuang LI. Thermal error prediction for grinding machine spindle based on heat conduction and convolutional neural network[J]. Optics and Precision Engineering, 2023, 31(1): 129
Paper Information
Category: Micro/Nano Technology and Fine Mechanics
Received: Jul. 29, 2022
Accepted: --
Published Online: Feb. 9, 2023
The Author Email: FAN Jinwei (jwfan@bjt.edu.cn)
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