Skip to main content
Top
Published in: The International Journal of Advanced Manufacturing Technology 1-2/2022

10-02-2022 | Critical Review

Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review

Authors: Nan-yang Zhao, Jiao-yuan Lian, Peng-fei Wang, Zhong-bin Xu

Published in: The International Journal of Advanced Manufacturing Technology | Issue 1-2/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The quality control of plastic products is an essential aspect of the plastic injection molding (PIM) process. However, the warpage and shrinkage deformations continue to exist because the PIM process is easily interfered with by several related or independent process parameters. Thus, great efforts have been devoted to optimizing process parameters to minimize the warpage and shrinkage deformations of products during the last decades. In this review, we begin by introducing the manufacturing process in PIM and the cause of warpage and shrinkage deformations, followed by the mechanism about how process parameters, like mold temperature, melt temperature, injection rate, injection pressure, holding pressure, holding and cooling duration, affect those defects. Then, we summarize the recent progress of the design of experiments and four advanced methods (artificial neural networks, genetic algorithm, response surface methodology, and Kriging model) on optimizing process parameters to minimize the warpage and shrinkage deformations. In the end, future perspectives of quality control in injection molding machines are discussed.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
12.
25.
go back to reference Jeon DS (2021) A study on shrinkage deformation according to injection molding conditions of pipe (annular) shaped products. J Korea Soc Die Mold Eng 15:36–41 Jeon DS (2021) A study on shrinkage deformation according to injection molding conditions of pipe (annular) shaped products. J Korea Soc Die Mold Eng 15:36–41
26.
go back to reference Nejadebrahim A, Ebrahimi M, Allonas X, Croutx-Barghorn C, Ley C, Mtral B (2019) A new safranin based three-component photoinitiating system for high resolution and low shrinkage printed parts via digital light processing. RSC Adv 9:39709–39720. https://doi.org/10.1039/C9RA09170JCrossRef Nejadebrahim A, Ebrahimi M, Allonas X, Croutx-Barghorn C, Ley C, Mtral B (2019) A new safranin based three-component photoinitiating system for high resolution and low shrinkage printed parts via digital light processing. RSC Adv 9:39709–39720. https://​doi.​org/​10.​1039/​C9RA09170JCrossRef
44.
go back to reference Kulkarni S (2017) Robust process development and scientific molding: theory and practice. Munich, Germany Kulkarni S (2017) Robust process development and scientific molding: theory and practice. Munich, Germany
55.
go back to reference Wang ML, Chang RY, Hsu CHD (2018) Molding simulation: Theory and practice. Munich, GermanyCrossRef Wang ML, Chang RY, Hsu CHD (2018) Molding simulation: Theory and practice. Munich, GermanyCrossRef
62.
68.
go back to reference Lee HH (2011) Taguchi Methods: Principles and Practices of Quality Design. New Taipei, Taiwan Lee HH (2011) Taguchi Methods: Principles and Practices of Quality Design. New Taipei, Taiwan
69.
go back to reference Montgomery DC (2017) Design and analysis of experiments. Hoboken, American Montgomery DC (2017) Design and analysis of experiments. Hoboken, American
74.
go back to reference Azaman M, Sapuan S, Sulaiman S, Zainudin E, Khalina A (2015) Optimization and numerical simulation analysis for molded thin walled parts fabricated using wood filled polypropylene composites via plastic injection molding. Polym Eng Sci 55:1082–1095. https://doi.org/10.1002/pen.23979CrossRef Azaman M, Sapuan S, Sulaiman S, Zainudin E, Khalina A (2015) Optimization and numerical simulation analysis for molded thin walled parts fabricated using wood filled polypropylene composites via plastic injection molding. Polym Eng Sci 55:1082–1095. https://​doi.​org/​10.​1002/​pen.​23979CrossRef
78.
go back to reference Usman Jan QM, Habib T, Noor S, Abas M, Azim S, Yaseen QM (2020) Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage using integrated approach of S/N ratio and composite desirability function. Cogent Eng 7:1781424. https://doi.org/10.1080/23311916.2020.17814-24CrossRef Usman Jan QM, Habib T, Noor S, Abas M, Azim S, Yaseen QM (2020) Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage using integrated approach of S/N ratio and composite desirability function. Cogent Eng 7:1781424. https://​doi.​org/​10.​1080/​23311916.​2020.​17814-24CrossRef
85.
go back to reference Heidari BS, Oliaei E, Shayesteh H, Davachi SM, Hejazi I, Seyfi J, Bahrami M, Rashedi H (2017) Simulation of mechanical behavior and optimization of simulated injection molding process for PLA based antibacterial composite and nanocomposite bone screws using central composite design. J Mech Behav Biomed Mater 65:160–176. https://doi.org/10.1016/j.jmbbm.2016.08.008CrossRef Heidari BS, Oliaei E, Shayesteh H, Davachi SM, Hejazi I, Seyfi J, Bahrami M, Rashedi H (2017) Simulation of mechanical behavior and optimization of simulated injection molding process for PLA based antibacterial composite and nanocomposite bone screws using central composite design. J Mech Behav Biomed Mater 65:160–176. https://​doi.​org/​10.​1016/​j.​jmbbm.​2016.​08.​008CrossRef
89.
go back to reference Rosato DV, Rosato MG (2012) Injection molding handbook. American, Boston Rosato DV, Rosato MG (2012) Injection molding handbook. American, Boston
90.
go back to reference Krse B, Krose B, van der Smagt P, Smagt P (1993) An introduction to neural networks. Amsterdam, Netherlands Krse B, Krose B, van der Smagt P, Smagt P (1993) An introduction to neural networks. Amsterdam, Netherlands
93.
go back to reference Alvarado Iniesta A, Garcia Alcaraz JL, Rodriguez Borbn M (2013) Optimization of injection molding process parameters by a hybrid of artificial neural network and artificial bee colony algorithm. Revista Facultad de Ingeniera Universidad de Antioquia 67:43–51 Alvarado Iniesta A, Garcia Alcaraz JL, Rodriguez Borbn M (2013) Optimization of injection molding process parameters by a hybrid of artificial neural network and artificial bee colony algorithm. Revista Facultad de Ingeniera Universidad de Antioquia 67:43–51
Metadata
Title
Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review
Authors
Nan-yang Zhao
Jiao-yuan Lian
Peng-fei Wang
Zhong-bin Xu
Publication date
10-02-2022
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 1-2/2022
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-022-08859-0

Other articles of this Issue 1-2/2022

The International Journal of Advanced Manufacturing Technology 1-2/2022 Go to the issue

Premium Partners