基于I-DEAS的非线性多热源温度场反演研究

摘要

本文对I-DEAS进行了二次开发,完成了脚本与I-DEAS软件TMG模块的数据交互并自动控制计算流程,采用自适应算法和加权算法求解航天器热平衡试验中多热源非线性温度场反演问题,并研究了迭代初值、循环运算次数、迭代步长等参数对反演误差的影响规律.两种方法的反演结果吻合良好且精度满足设计要求,其求解思路和算法可为航天器件内部温度场的热平衡试验及热源的优化设计提供参考和依据.%An I-DEAS secondary development is performed on the basis of software calculation of heat transfer problem according to heat source optimization in dynamic thermal balance of closed system. A script program is compiled to realize data exchange between the calculating program and the TMG module in I-DEAS, and the batch processing is adopted to control calculation process automatically for improving the computational efficiency. An adaptive algorithm and a weighted algorithm are designed separately to solve the temperature field inversion problems with nonlinear multiple heat sources in the thermal balance experiment of spacecraft. Considering the influences of initial value, number of cycle operations and iterative steps on inversion error, it is shown that the results of two algorithms match well and meet requirement for accuracy. The calculational results would provide references and evidences for some thermal experiments of spacecrafts and optimal designs of inner heat sources in the inversion problem.