Intelligent Optimization of Mold Design and Process Parameters in Injection Molding

  • Mehdi Moayyedian

Part of the Springer Theses book series (Springer Theses)

Table of contents

About this book


This book describes an effective framework for setting the right process parameters and new mold design to reduce the current plastic defects in injection molding. It presents a new approach for the optimization of injection molding process via (i) a new mold runner design which leads to 20 percent reduction in scrap rate, 2.5 percent reduction in manufacturing time, and easier ejection of injected part, (ii) a new mold gate design which leads to less plastic defects; and (iii) the introduction of a number of promising alternatives with high moldability indices. Besides presenting  important developments of relevance academic research, the book also includes useful information for people working in the injection molding industry, especially in the green manufacturing field.


Injection Molding Design Defect Prediction in Injection Molding Gate Systems for Scrap Reduction Gate Design Optimization Cold Runner Design Plastic Defects Analysis Filling Process Analysis Fuzzy Optimization in Manufacturing Taguchi Experimental Design Process Optimization via Fuzzy AHP Application of Fuzzy TOPSIS Combination of ANOVA and Taguchi Methods

Authors and affiliations

  • Mehdi Moayyedian
    • 1
  1. 1.School of EngineeringUniversity of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-030-03355-2
  • Online ISBN 978-3-030-03356-9
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
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