非均匀温度场下航空工装基准点热偏移预测与补偿技术研究(特邀)  

Prediction and compensation of thermal offset in tooling ERS points under non-uniform temperature fields(invited)

作　　者：张洋[1] 宿一品 逯永康 李俊卿 陈启航 闫瑞帝 刘巍[1] ZHANG Yang;SU Yipin;LU Yongkang;LI Junqing;CHEN Qihang;YAN Ruidi;LIU Wei(School of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]大连理工大学机械工程学院,辽宁大连116024

出　　处：《红外与激光工程》2025年第3期114-129,I0001,共17页Infrared and Laser Engineering

基　　金：国家自然科学基金项目(52275519,52405581);中国科协青年人才托举工程项目(2022QNRC001);大连市高层次人才创新支持计划项目(2023RG001)。

摘　　要：非均匀温度场引起的基准点热偏移是航空工装测量坐标系与整机全局坐标系配准精度下降的重要因素之一。为此,文中提出了一种融合虚拟测点动态优化与温度场精确重建的基准点热偏移预测与配准补偿方法。首先,采用了基于高斯过程回归的全域温度场重建算法(GPR-GTFR),准确表征复杂非均匀温度场的空间分布特性。其次,建立基于有限元法的基准点热偏移计算模型,定量分析温度场作用下基准点的热偏移量。同时,针对稀疏测点分布导致的温度场建模精度不足及模型简化引起的预测误差,提出了虚拟测点动态优化策略,并采用改进的自适应动态局部搜索土拨鼠优化算法(ADLSPDO)进行求解,以提升基准点热偏移预测精度。最后,利用预测结果修正基准点标称位置,降低工装测量坐标系与整机全局坐标系间的配准误差。实验表明,该方法在X、Y和Z方向上补偿后的均方根误差(RMSE)较补偿前分别降低84.5%、77.9%和78.8%,显著提高了配准精度。研究成果对非均匀温度场下航空工装基准点精度保持及大尺寸测量中因基准点热偏移引起的配准误差补偿具有重要参考价值。Objective Thermal offset in Enhanced Reference System(ERS)points under non-uniform temperature fields is one of the primary factors causing reduced coordinate registration accuracy between the tooling measurement coordinate system(MCS)and the global coordinate system(GCS).Addressing this issue is critical for ensuring precision in large-scale metrology and aircraft assembly.This study aims to address the challenges posed by sparse measurement points,complex temperature distributions,and finite element model simplifications,which collectively limit the accuracy of temperature field modeling and thermal offset prediction.A novel method integrating global temperature field reconstruction,virtual measurement point dynamic optimization,and coordinate registration error compensation was developed to improve the accuracy and reliability of thermal offset prediction and registration.Methods A novel methodology integrating virtual measurement point dynamic optimization and precise temperature field reconstruction was proposed to address the challenges of thermal offset prediction and coordinate registration under non-uniform temperature fields.First,a global temperature field reconstruction algorithm(GPR-GTFR)based on Gaussian Process Regression was developed to accurately capture the spatial distribution characteristics of complex non-uniform temperature fields,providing high-quality input data for subsequent thermal offset prediction.Next,a thermal offset prediction model was established using the finite element method(FEM)to quantitatively analyze the thermal displacement of ERS points under varying temperature conditions.To overcome the limitations of sparse measurement point distributions and inaccuracies caused by FEM model simplifications,a virtual measurement point dynamic optimization strategy was proposed.This strategy incorporated an improved Adaptive Dynamic Local Search Prairie Dog Optimization algorithm(ADLSPDO)to dynamically optimize the spatial layout of the temperature field,enhancing the spatial coverage

关 键 词：航空工装 非均匀温度场重建 基准点热偏移预测 配准误差补偿 大尺寸测量 

分 类 号：V262.4[航空宇航科学与技术—航空宇航制造工程]