Inversion research on temperature field with nonlinear multiple heat source using I-DEAS

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.