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http://dx.doi.org/10.5916/jkosme.2013.37.8.893

Multiobjective optimization strategy based on kriging metamodel and its application to design of axial piston pumps  

Jeong, Jong Hyun (Multi-2 Team, DNDE Inc.)
Baek, Seok Heum (EN3S Team, DNDE Inc.)
Suh, Yong Kweon (Department of Mechanical Engineering, Dong-A University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.37, no.8, 2013 , pp. 893-904 More about this Journal
Abstract
In this paper, a Kriging metamodel-based multi-objective optimization strategy in conjunction with an NSGA-II(non-dominated sorted genetic algorithm-II) has been employed to optimize the valve-plate shape of the axial piston pump utilizing 3D CFD simulations. The optimization process for minimum pressure ripple and maximum pump efficiency is composed of two steps; (1) CFD simulation of the piston pump operation with various combination of six parameters selected based on the optimization principle, and (2) applying a multi-objective optimization approach based on the NSGA-II using the CFD data set to evaluate the Pareto front. Our exploration shows that we can choose an optimal trade-off solution combination to reach a target efficiency of the axial piston pump with minimum pressure ripple.
Keywords
Axial piston pump; Discharge pressure ripple; Computational fluid dynamics; Multi-objective optimization; Kriging metamodel;
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Times Cited By KSCI : 5  (Citation Analysis)
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