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Sink-mark minimization in injection molding through response surface regression modeling and genetic...

Sink-mark minimization in injection molding through response surface regression modeling and genetic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2262423162

Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm

About this item

Full title

Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm

Publisher

London: Springer-Verlag

Journal title

International journal of advanced manufacturing technology, 2009-12, Vol.45 (9-10), p.867-874

Language

English

Formats

Publication information

Publisher

London: Springer-Verlag

More information

Scope and Contents

Contents

This paper deals with minimization of sink depths in injection-molded thermoplastic components by integrating finite element (FE) flow analysis with central composite design (CCD) of experiments and genetic algorithm (GA). Sink-mark depth depends on various process and design variables. Out of all, four most influential variables viz. melt temperat...

Alternative Titles

Full title

Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2262423162

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2262423162

Other Identifiers

ISSN

0268-3768

E-ISSN

1433-3015

DOI

10.1007/s00170-009-2021-z

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