航空工程进展2025，Vol.16Issue(3)：132-143,12.DOI:10.16615/j.cnki.1674-8190.2025.03.14
非均匀温度场下大型工装基准点热漂移预测分析
Prediction and analysis of thermal drift in large-scale tooling reference points under non-uniform temperature field
摘要
Abstract
In the digital measurement of aircraft assembly,the accuracy of large-size measurement field construc-tion is highly dependent on the stability of the reference points laid on the tooling.The position of the reference points of large-sized tooling is very susceptible to thermal drift due to changes in ambient temperature,leading to a reduction in the accuracy of the measurement field or even failure.Therefore,this paper takes a combined large-scale tooling as an example to construct a numerical model for predicting the thermal drift of the reference points of large-scale tooling under a non-uniform temperature field;constructs a proxy model for the thermal drift of the tool-ing based on a large amount of thermal drift data obtained from the simulation of the aforementioned model using BP neural network;and formulates a program for improving the accuracy of the measurement field based on the aforementioned proxy model.The temperature and coordinate measurement data collected in the field at the refer-ence points of the tooling are used to verify the validity and correctness of the proxy model,and the temperature-co-ordinate drift data at the reference points obtained from the model are compared and analyzed.The results show that the average relative errors of the simulation results are below 18%,and the average relative errors of the BP neural network results are below 26%,which can effectively improve the measurement field construction accuracy.关键词
大型工装/非均匀温度场/基准点热漂移/BP神经网络Key words
large-scale tooling/non-uniform temperature field/reference points thermal drift/BP neural network分类
航空航天引用本文复制引用
李严,张尚安,王守川,魏洪杨,李泷杲,候国义..非均匀温度场下大型工装基准点热漂移预测分析[J].航空工程进展,2025,16(3):132-143,12.基金项目
国防基础科研项目(JCKY2020605C014) （JCKY2020605C014）
江苏省卓越博士后计划(2022ZB217) （2022ZB217）
