Effect of process parameter interactions on short shot defect modeling in plastic injection molding

Steven Otieno, Tien Chien Jen, Fredrick Mwema, Edwell Mharakurwa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an analysis of the effect of interactions of major injection molding process parameters on short shot defects. The factorial design of the experiment and numerical modeling techniques were used. Parameter mains effect and interaction effect sizes were computed, and their significance was tested through ANOVA. It was demonstrated that injection pressure setting and melt temperature were the most influential parameters affecting short shot defects with contributions of 92% and 7% respectively as well as their interactions. The most significant interactions affecting short shot defects involved melt temperature. Knowledge of significant parameter interactions affecting short shot defects could enhance a targeted approach to defect control. The approach and the results presented herein can be adopted in plastic injection molding entities to minimize such defects.

Original languageEnglish
Title of host publication2023 2nd International Conference on Multidisciplinary Engineering and Applied Science, ICMEAS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350358834
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Multidisciplinary Engineering and Applied Science, ICMEAS 2023 - Abuja, Nigeria
Duration: 1 Nov 20233 Nov 2023

Publication series

Name2023 2nd International Conference on Multidisciplinary Engineering and Applied Science, ICMEAS 2023

Conference

Conference2nd International Conference on Multidisciplinary Engineering and Applied Science, ICMEAS 2023
Country/TerritoryNigeria
CityAbuja
Period1/11/233/11/23

Keywords

  • Factorial design
  • Finite element
  • Injection molding
  • Interaction effect
  • Short shot

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Renewable Energy, Sustainability and the Environment
  • Engineering (miscellaneous)
  • Waste Management and Disposal
  • Control and Optimization
  • Modeling and Simulation

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