A simulation-based optimization evaluating process and feed system effect in plastic injection molding
Although technological advancements have brought about the inventions of hot runner injection molding machines, cold runner injection molding machines are still in application and are subject to many defects associated with filling such as short shots and sink marks. Many studies have, therefore, be...
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Published in | International journal on interactive design and manufacturing Vol. 19; no. 4; pp. 2575 - 2585 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Paris
Springer Paris
01.04.2025
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1955-2513 1955-2505 |
DOI | 10.1007/s12008-024-01868-1 |
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Abstract | Although technological advancements have brought about the inventions of hot runner injection molding machines, cold runner injection molding machines are still in application and are subject to many defects associated with filling such as short shots and sink marks. Many studies have, therefore, been carried out in an attempt to optimize and minimize defects. These studies have, however, not studied several combinations of input parameters and their effects on sink marks and short shots. The highlighted inadequacies of previous studies have led this research to investigate the effect of variation of feed system features and process parameters on short shot and sink mark defects. Through Computer Aided Engineering (CAE), Design of Experiments (DoE), and data analysis the study determined the effects of variation of process parameters, runner and gate shapes on the selected performance measures. A Taguchi L27 orthogonal array was undertaken for optimization based on three levels of runner shape, gate shape, melt temperature, injection pressure limit and filling time and the responses in short shot possibility and sink marks determined at each input combination based on DIX-SI grade polystyrene material. Parameters found to have the most critical effect on short shot defects included melt temperature, injection pressure, and runner shape, whereas those with the most critical effect on sink marks were fill time, gate shape and runner shape. |
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AbstractList | Although technological advancements have brought about the inventions of hot runner injection molding machines, cold runner injection molding machines are still in application and are subject to many defects associated with filling such as short shots and sink marks. Many studies have, therefore, been carried out in an attempt to optimize and minimize defects. These studies have, however, not studied several combinations of input parameters and their effects on sink marks and short shots. The highlighted inadequacies of previous studies have led this research to investigate the effect of variation of feed system features and process parameters on short shot and sink mark defects. Through Computer Aided Engineering (CAE), Design of Experiments (DoE), and data analysis the study determined the effects of variation of process parameters, runner and gate shapes on the selected performance measures. A Taguchi L27 orthogonal array was undertaken for optimization based on three levels of runner shape, gate shape, melt temperature, injection pressure limit and filling time and the responses in short shot possibility and sink marks determined at each input combination based on DIX-SI grade polystyrene material. Parameters found to have the most critical effect on short shot defects included melt temperature, injection pressure, and runner shape, whereas those with the most critical effect on sink marks were fill time, gate shape and runner shape. |
Author | Wakiru, James M. Keraita, James N. Onyiego, Joshua M. |
Author_xml | – sequence: 1 givenname: Joshua M. orcidid: 0009-0009-8163-0728 surname: Onyiego fullname: Onyiego, Joshua M. email: joshuabrian26@gmail.com organization: Department of Mechanical Engineering, Dedan Kimathi University of Technology – sequence: 2 givenname: James M. surname: Wakiru fullname: Wakiru, James M. organization: Department of Mechanical Engineering, Dedan Kimathi University of Technology – sequence: 3 givenname: James N. surname: Keraita fullname: Keraita, James N. organization: Department of Mechanical Engineering, Dedan Kimathi University of Technology |
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Copyright | The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Copyright Springer Nature B.V. Apr 2025 |
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SubjectTerms | CAD CAE CAE) and Design Computer aided design Computer aided engineering Computer-Aided Engineering (CAD Data analysis Defects Electronics and Microelectronics Engineering Engineering Design Feed systems Industrial Design Injection molding Injection molding machines Instrumentation Mechanical Engineering Melt temperature Optimization Original Article Orthogonal arrays Polymer melts Polystyrene resins Process parameters Residual stress Simulation Sink marks Systems design |
Title | A simulation-based optimization evaluating process and feed system effect in plastic injection molding |
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