基于独立变量选择标准的机床热误差温度敏感点的优化研究
Huadong Li1, Jingjun Liu1, Yang Li2
1Jinlin Songhuajiang Thermoelectricity Co., Ltd, Jilin Province, 132012, China.
Scientific reports
|April 24, 2025
概括
这项研究引入了一种新的方法,用于选择温度敏感点,以增强机床的热误差模型. 该方法提高了准确制造的预测准确性和模型稳定性.
科学领域:
- 机械工程 机械工程
- 制造业 制造技术 制造技术
- 计量学 计量学 计量学
背景情况:
- 机床工具的热量误差会对定位准确性产生重大影响.
- 现有的热误差模型往往缺乏稳定性和最佳的传感器放置.
- 准确的热误差建模对于高精度加工至关重要.
研究的目的:
- 为工具机热误差模型提出选择温度敏感点的方法.
- 为了提高这些模型的预测准确性和稳定性.
- 通过整合几何和热误差,建立一个全面的定位误差模型.
主要方法:
- 几何定位错误是使用多项式拟合模型.
- 使用独立变量选择标准识别温度敏感点.
- 一个长期短期内存 (LSTM) 网络被用于基于所选点的热定位误差模型.
- 通过叠加几何和热误差组件来开发一个全面的定位误差模型.
主要成果:
- 拟议的方法有效地识别了对温度敏感的关键点.
- 开发的热误差模型证明了精细的预测准确性.
- 在三轴垂直机床上的实验验证证证了该方法的可行性.
结论:
- 该方法提供了一种可靠的方法,用于在热误差建模中选择温度敏感点.
- 这种技术为机床的实证热误差建模提供了理论基础.
- 改进后的模型有助于提高制造过程的精度和可靠性.
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