A Method Of Inverse Evaluation For The Convection Heat Transfer Coefficient

Inverse Heat Transfer Problems play an important role in many engineering aspects such as space-techniques casting detecting chemical engineering etc.Study on inverse heat transfer problems with multi-variables is dramatically significant theoretically and practically.Based on the research in the optimum field,combine C with Fortran to compile the programme. And combine genetic algorithm with MSC.MARC. With the two formal ideas, complete the optimum design on the Convection Heat Transfer Coefficient. This system constructs a link with MSC.MARC based on genetic algorithm for the first time. By reading the data file of Marc, run Marc to do FEM analysis. Because it's universal, it can be apply to many optimum problems.Generally the Convection Heat Transfer Coefficient has many the influence factors, so it is hard to seek the answer in normal ways .In engineering application ,the numerical experimentation method is usually used as the numerical method which the Convection Heat Transfer Coefficient is manually modified to bring the final computed boundary temperatures into accord with the measure temperatures. But it will spend a lot of time. In this paper combining the theory of noconstraint optimization a method which based on back analysis is presented.The general numerical models presented are convenient for sensitivity analysis, and can be used to solve inverse steady heat conduction problems with multi-variables. Numerical results indicate that the method can solve inverse problems steadily with high precision. The approaches proposed in this paper can therefore be used as useful tools to solve inverse heat conduction problems.