Simulation of a regression-model and PCA based searching method developed for setting the robust injection molding parameters of multi-quality characteristics

International Journal of Heat and Mass Transfer

Volumn 51, Issue 25-26, 2008, Pages 5828-5837

  Huang, M S ^a   Lin, T Y ^a  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Injection molding; Light guided plate; Principal component analysis; Regression model; Robust quality; Taguchi method

Indexed keywords

COMPUTATIONAL METHODS; EXPERIMENTS; FORMING; INJECTION MOLDING; MOLDING; MOLDS; PLASTIC MOLDS; REGRESSION ANALYSIS; TAGUCHI METHODS;

ANOVA METHODS; DESIGNED EXPERIMENTS; ENVIRONMENTAL NOISES; INJECTION MOLDING PROCESSES; MOLDED PARTS; MOLDING PARAMETERS; OPTIMAL PROCESS PARAMETERS; PART QUALITIES; PRINCIPAL COMPONENTS; PRODUCTION QUALITIES; QUALITY CHARACTERISTICS; QUALITY INDICATORS; QUALITY LOSS FUNCTIONS; REGRESSION MODEL; REGRESSION MODELS; ROBUST PROCESSES; ROBUST QUALITY; SEARCHING METHODS; SQUARED ERRORS; STEEPEST DECENT METHODS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 55749089222     PISSN: 00179310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijheatmasstransfer.2008.05.016     Document Type: Article

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