Springer Theses

Intelligent Optimization of Mold Design and Process Parameters in Injection Molding

Authors: Moayyedian, Mehdi

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  • Nominated as an outstanding PhD thesis by University of South Australia, Adelaide, Australia
  • Describes experimental, numerical and optimization techniques for improving mold design
  • Demonstrates the efficacy of combining different methods, such as ANOVA, Taguchi, TOPSIS and fuzzy logic
  • Offers a comprehensive review on injection modeling process and mold design concepts
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eBook $109.00
price for USA in USD
  • ISBN 978-3-030-03356-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Hardcover $149.99
price for USA in USD
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.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-030-03356-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Hardcover $149.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Optimization of Mold Design and Process Parameters in Injection Molding
Authors
Series Title
Springer Theses
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-03356-9
DOI
10.1007/978-3-030-03356-9
Hardcover ISBN
978-3-030-03355-2
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXII, 145
Number of Illustrations
22 b/w illustrations, 80 illustrations in colour
Topics