A review of research progress on the minimization of weld lines in injection molding

Abstract

Injection molding is in high demand in several industries due to its efficiency and versatility. Quality control plays a crucial role in ensuring the excellence of plastic products during injection molding. However, the phenomenon of weld lines has persisted due to the susceptibility of melt flow in the mold cavity for independent or multiple related parameters. This paper presents a comprehensive review of recent advances in minimizing weld lines during injection molding. This review study is categorized into four parts, namely, (1) causes of formation, (2) influencing factors and mechanisms, (3) numerical prediction methods, and (4) improvement methods for weld lines. In the end, based on the findings summarized in this review paper, future research directions for optimal control of weld lines are discussed.

Publication DOI: https://doi.org/10.1007/s00170-024-13607-7
Divisions: College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
Funding Information: The authors would like to acknowledge the financial support of the National Natural Science Foundation of China (52173049), China Postdoctoral Science Foundation (2021 M101797), and Advantageous Discipline Cultivation Project of Henan Province (2223014200
Additional Information: Copyright © Springer Nature B.V. 2024. The final publication is available at Springer via https://doi.org/10.1007/s00170-024-13607-7
Uncontrolled Keywords: Improvement measures,Injection molding,Surface quality,Weld lines,Control and Systems Engineering,Software,Mechanical Engineering,Computer Science Applications,Industrial and Manufacturing Engineering
Publication ISSN: 1433-3015
Last Modified: 06 Dec 2024 08:31
Date Deposited: 12 Jul 2024 07:12
Full Text Link:
Related URLs: https://link.sp ... 170-024-13607-7 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-06
Published Online Date: 2024-04-30
Accepted Date: 2024-04-08
Authors: Li, Xi-jue
Zuo, Ze-mian
Mi, Hao-Yang
Dong, Bin-bin
Antwi-Afari, Maxwell Fordjour (ORCID Profile 0000-0002-6812-7839)
Liu, Chun-tai
Shen, Chang-yu

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 30 April 2025.


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