Skip to main content
Journal ArticleOPEN ACCESS

Kriging-Model-Based Multi-Objective Robust Optimization and Trade-Off Rule Mining of a Centrifugal Fan with Dimensional Uncertainty

  • SUGIMURA K
  • JEONG S
  • OBAYASHI S
  • et al.
Journal of Computational Science and Technology (2009) 3(1) 196-211
DOI: 10.1299/jcst.3.196
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

MORDE is then applied to an industrial design problem with a centrifugal for a washer-dryer. Taking dimensional uncertainty into account, we optimize the means and standard deviations of the resulting distributions of the and turbulent noise level.

Cite

CITATION STYLE

APA

SUGIMURA, K., JEONG, S., OBAYASHI, S., & KIMURA, T. (2009). Kriging-Model-Based Multi-Objective Robust Optimization and Trade-Off Rule Mining of a Centrifugal Fan with Dimensional Uncertainty. Journal of Computational Science and Technology, 3(1), 196–211. https://doi.org/10.1299/jcst.3.196

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free