Volume 7, No. 3, May 2018

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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International Journal of Mechanical Engineering and Robotics Research
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Pressure-based Methodology for Online Monitoring of Melt Quality during Injection Molding Process

Jian-Yu Chen 1, Ming-Shyan Huang 2, and Kai-Jie Yang 2
1. Bachelor Program in Precision System Design, Feng Chia University, Taichung, Taiwan
2. Department of Mechanical and Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan

Abstract—Injection molding provides a convenient approach for manufacturing plastic components with a complex geometry. However, polymer melt is a non-Newtonian fluid with a shear thinning characteristic, and hence its viscosity is highly sensitive to such factors as the shear rate, melt temperature, back pressure, and screw rotational speed during the plasticizing stage. In practical injection molding operations, process variations may have a significant effect on the melt quality, and hence on the quality of the final molded part. As a result, online melt quality monitoring systems are of great practical importance. Accordingly, this study presents a banausic method for monitoring the shot-by-shot variance of the melt quality online using a system of pressure sensors. The feasibility of the proposed method is demonstrated by detecting variations in the melt quality of two acrylonitrile butadiene styrene (ABS) materials with different melt flow indices. 

Index Terms—melt quality, pressure sensor, injection molding process

Cite: Jian-Yu Chen, Ming-Shyan Huang, and Kai-Jie Yang, "Pressure-based Methodology for Online Monitoring of Melt Quality during Injection Molding Process," International Journal of Mechanical Engineering and Robotics Research, Vol. 7, No. 3, pp. 223-228, May 2018. DOI: 10.18178/ijmerr.7.3.223-228