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OPTIMIZATION OF MULTI-FIDELITY DATA USING CO-KRIGING FOR HIGH DIMENSIONAL PROBLEMS
2014
The International Conference on Applied Mechanics and Mechanical Engineering
This paper deals with an efficient and multi-fidelity design strategy for high dimensional industrial problems. The most significant factors have been determined based on the Muschelknautz method of modeling (MM) using the screening approach. For cyclone separator, only four (from seven) geometrical parameters are significant. An optimized sampling plan based on random Latin hypercube (LHS) has been used to fit Co-Kriging based on CFD data and an analytical model for estimation of pressure
doi:10.21608/amme.2014.35593
fatcat:53rauhge7vasdaeydx3jmqvnky