Multi-objective robust design optimization and knowledge mining of a centrifugal fan that takes dimensional uncertainty into account

Proceedings of the ASME Turbo Expo

Volumn 6, Issue PART C, 2008, Pages 2659-2668

  Sugimura, Kazuyuki ^a   Jeong, Shinkyu ^b   Obayashi, Shigeru ^b   Kimura, Takeshi ^c  

^a HITACHI LTD   (Japan)

^b TOHOKU UNIVERSITY   (Japan)

^c Hitachi Appliances Inc   (Japan)

Author keywords

Centrifugal fan; Data mining; Decision tree; Genetic algorithm; Kriging model; Multi objective robust optimization; Rough set; Self organizing map; Taguchi method

Indexed keywords

CENTRIFUGAL FAN; CENTRIFUGAL FANS; DATA MINING TECHNIQUES; DECISION TREE ANALYSIS; DESIGN FRAMEWORKS; DESIGN KNOWLEDGE; DESIGN OBJECTIVES; DESIGN RULES; DESIGN VARIABLES; FAN EFFICIENCY; HIGH-DIMENSIONAL; KNOWLEDGE MINING; KRIGING MODEL; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE ROBUST OPTIMIZATION; NEW DESIGN; NOISE LEVELS; NONDOMINATED SOLUTIONS; OBJECTIVE FUNCTIONS; PROBABILISTIC REPRESENTATION; REAL-WORLD DESIGNS; REYNOLDS-AVERAGED NAVIER-STOKES SIMULATIONS; ROBUST DESIGN OPTIMIZATION; ROBUST DESIGNS; ROBUST OPTIMIZATION; ROUGH SET; STANDARD DEVIATION;

CENTRIFUGATION; CONFORMAL MAPPING; DATA MINING; DECISION TREES; FUZZY SETS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION; PRODUCT DESIGN; STATISTICS; TAGUCHI METHODS;

ROUGH SET THEORY;

EID: 69949181668     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2008-51301     Document Type: Conference Paper

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