书目名称 | Intelligent Optimization of Mold Design and Process Parameters in Injection Molding | 编辑 | Mehdi Moayyedian | 视频video | | 概述 | 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 ef | 丛书名称 | Springer Theses | 图书封面 |  | 描述 | 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.. | 出版日期 | Book 2019 | 关键词 | Injection Molding Design; Defect Prediction in Injection Molding; Gate Systems for Scrap Reduction; Gat | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-03356-9 | isbn_ebook | 978-3-030-03356-9Series ISSN 2190-5053 Series E-ISSN 2190-5061 | issn_series | 2190-5053 | copyright | Springer Nature Switzerland AG 2019 |
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