KR391: What are different types of response surfaces available in ANSYS 12.0?
General rules: `Standard 2nd order polynomial are efficient when the variation of the output is smooth wrt the input parameters `Kriging proves to be efficient in a large number of cases, even with highly nonlinear responses (such as emag) `Non-parametric regression is suited for nonlinear responses. It is usually slow to compute `Neuronal network seem to be successful with highly nonlinear responses. Control over the algorithm is very limited In practice: `Start with the 2nd order polynomial. If goodness of fit is weak, switch to Kriging. `The two other models should be used very carefully |
||
|