[wang1993hao@gmail.com]

Dear all,
I'm new in this forum and hope you can help me with my question.

After setting up the adiabatic steady-state simulation model, I would now like to adjust the model on the basis of 6 previously measured surface temperatures at the experiment with a convection flow. I have created a field function to determine the sum of the square errors of all deltaT (temperatures between test bench and simulation shows below).

pow((${TO1_Ventil_hintenReport} - ${TO1_Ventil_hinten_exp}), 2) +
pow((${TO2_Ventil_KühlmittelReport} - ${TO2_Ventil_Kühlmittel_exp}), 2)+
pow((${TO3_Ventil_vorneReport} - ${TO3_Ventil_vorne_exp}), 2) +
pow((${TO4_Bypassblock_vorneReport} - ${TO4_Bypassblock_vorne_exp}), 2) +
pow((${TO5_Bypassblock_seitlichReport} - ${TO5_Bypassblock_seitlich_exp}), 2) +
pow((${TO6_Bypassblock_startReport} - ${TO6_Bypassblock_start_exp}), 2)

Now I would like to get to a minimum of the square error in the calculation by automatically changing the forced convection.

Thanks a lot in advance.