Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/55250
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKumar, Sagar-
dc.contributor.authorSingh, Amit Kumar-
dc.contributor.authorPathak, Vimal Kumar-
dc.date.accessioned2020-09-23T09:29:18Z-
dc.date.available2020-09-23T09:29:18Z-
dc.date.issued2020-06-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/55250-
dc.description603-615en_US
dc.description.abstractIn the present study, a systematic methodology has been presented to determine optimal injection molding conditions for minimizing warpage and shrinkage in a thin wall relay part using modified particle swarm algorithm (MPSO). Polybutylene terephthalate (PBT) and polyethylene terephthalate (PET) have been injected in thin wall relay component under different processing parameters: melt temperature, packing pressure and packing time. Further, Taguchi’s L9 (32) orthogonal array has been used for conducting simulation analysis to consider the interaction effects of the above parameters. A predictive mathematical model for shrinkage and warpage has been developed in terms of the above process parameters using regression model. ANOVA analysis has been performed to establish statistical significance among the injection molding parameters and the developed model. The developed model has been further optimized using a newly developed modified particle swarm optimization (MPSO) algorithm and the process parameters values have been obtained for minimized shrinkage and warpage. Furthermore, the predicted values of the shrinkage and warpage using MPSO algorithm have been reduced by approximately 30% as compared to the initial simulation values making more adequate parts.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.27(3) [June 2020]en_US
dc.subjectShrinkageen_US
dc.subjectWarpageen_US
dc.subjectMPSO algorithmen_US
dc.subjectOptimizationen_US
dc.titleModelling and optimization of injection molding process for PBT/PET parts using modified particle swarm algorithmen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.27(3) [June 2020]

Files in This Item:
File Description SizeFormat 
IJEMS 27(3) 603-615.pdf1.14 MBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.