Optimization of Process Parameters for L.D.P.E. Material in Injection Moulding Machine Using Taguchi Methodology

  • Unique Paper ID: 146969
  • Volume: 5
  • Issue: 2
  • PageNo: 644-650
  • Abstract:
  • The comprehensive works on numerous issues related to optimization of process parameters of injection molding machine have been considered. The literature was categorized into different related categories such as Introduction to plastic material, Experimental project methodology, Taguchi analysis, related experimental work and Testing and Result. Literature review on the methodologies used in the exploration such as Taguchi analysis and other optimization methods have been conversed. The different process parameters of injection moulding machine like injection pressure, barrel temperature, mould temperature and screw speed have been calculated in aspect. The specialists/effective plant personnel also assisted to make comprehend the process parameters their effects on quality of products, machine start- up procedure, and setting of procedure parameters on injection moulding machine. The optimization of process parameter in injection moulding machine for polypropylene material was complete by means of the Taguchi methodology. Computer software MINITAB 17 (most important statistical software used to examine the data and recover your products and quality improvement worldwide) has been used. It is used to do approximately statistical analysis of the data which is attained from the experimental effort achieved. The Taguchi methodology delivers the optimum process parameter by taking different combinations of process parameters with the help of orthogonal array.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{146969,
        author = {Mohammad Mashuk Ali and Amitesh Paul and Vishal Kumar Jaiswal},
        title = {Optimization of Process Parameters for L.D.P.E. Material in Injection Moulding Machine Using Taguchi Methodology},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {2},
        pages = {644-650},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146969},
        abstract = {The comprehensive works on numerous issues   related   to optimization of process parameters of injection molding machine have been considered. The literature was categorized into different related categories such as Introduction to plastic material, Experimental project methodology, Taguchi analysis, related experimental work and Testing and Result. Literature review on the methodologies used in the exploration such as Taguchi analysis and other optimization methods have been conversed. The different process parameters of injection moulding machine like injection pressure, barrel temperature, mould temperature and screw speed have been calculated in aspect. The specialists/effective plant personnel also assisted to make comprehend the process parameters their effects on quality of products, machine start- up procedure, and setting of procedure parameters on injection moulding machine. The optimization of process parameter in injection moulding machine for polypropylene material was complete by means of the Taguchi methodology.  Computer software MINITAB 17 (most important statistical software used to examine the data and recover your products and quality improvement worldwide) has been used. It is used to do approximately statistical analysis of the data which is attained from the experimental effort achieved. The Taguchi methodology delivers the optimum process parameter by taking different combinations of process parameters with the help of orthogonal array.},
        keywords = {LDPE Material, Taguchi Method, Injection Moulding Machine},
        month = {},
        }

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