Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters

Year : 2025 | Volume : 13 | Special Issue 03 | Page : 337-345
    By

    Geetesh Goga,

  • Rohit Kumar Singh,

  • Ravindra Mohan,

  • Padmakar Pachorkar,

  • Avdhesh Kumar Sharma,

  • Santosh Kumar,

  • Anil Singh Yadav,

  • Subhendu Chakroborty,

  1. Director-Principal, Department of Mechanical Engineering, Bharat Group of Colleges, Sardulgarh, Punjab, India
  2. Research Scholar, Department of Mechanical Engineering, IES College of Technology, Bhopal, Madhya Pradesh, India
  3. Assistant Professor, Department of Mechanical Engineering, IES College of Technology, Bhopal, Madhya Pradesh, India
  4. Assistant Professor, Department of Mechanical Engineering, IES College of Technology, Bhopal, Madhya Pradesh, India
  5. Assistant Professor, Department of Mechanical Engineering, GLA University, Mathura, Uttar Pradesh, India
  6. Assistant Professor, Department of Mechanical Engineering, CGC-College of Engineering, CGC, Landran, Punjab, India
  7. Associate Professor, Department of Mechanical Engineering, Bakhtiyarpur College of Engineering, Patna, Bihar, India
  8. Professor, Department of Basic Sciences, Chandigarh University, Punjab, India

Abstract

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Due to the production of plastic products with complex shapes, the plastic injection moulding manufacturing method has recently received a lot of attention. In order to improve manufacturing performance, the cycle time for the injection moulding process has been reduced, the defect known as dimensional warpage that results from temperature differences inside the mould has been reduced, and the mechanical tensile strength of the material has been increased so that it cannot warp easily. The plastic injection molding manufacturing process has drawn a lot of attention lately since it produces plastic goods with intricate shapes. In order to enhance manufacturing performance, the injection molding process’s cycle time has been shortened, the dimensional warpage defect which arises from temperature variations inside the mold has been lessened, and the material’s mechanical tensile strength has been raised to prevent warping.  Warpage is a dimensional flaw of the product; hence a longer cycle time is needed. We risk a decline in production if we do this. Additionally, a superior product should have a higher tensile strength. A suitable experimental design is prepared using the Taguchi Orthogonal array to determine the trade-off analysis between quality and productivity. The Taguchi orthogonal array is used to select an appropriate experimental design, and utilising the experimental data, the entropy measurement method is then used to look into the choice of response behaviour. The utility idea is then used to determine how the processing parameters connect to the various processes. The best process parameters that can improve plastic products’ tensile strength that can be maximized were found at the end of the manuscript to reveal the optimized parameters.

Keywords: Injection moulding process, Cycle time, tensile strength, warpage, mechanical properties.

[This article belongs to Special Issue under section in Journal of Polymer and Composites (jopc)]

How to cite this article:
Geetesh Goga, Rohit Kumar Singh, Ravindra Mohan, Padmakar Pachorkar, Avdhesh Kumar Sharma, Santosh Kumar, Anil Singh Yadav, Subhendu Chakroborty. Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters. Journal of Polymer and Composites. 2025; 13(03):337-345.
How to cite this URL:
Geetesh Goga, Rohit Kumar Singh, Ravindra Mohan, Padmakar Pachorkar, Avdhesh Kumar Sharma, Santosh Kumar, Anil Singh Yadav, Subhendu Chakroborty. Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters. Journal of Polymer and Composites. 2025; 13(03):337-345. Available from: https://journals.stmjournals.com/jopc/article=2025/view=0


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Special Issue Subscription Original Research
Volume 13
Special Issue 03
Received 12/11/2024
Accepted 04/02/2025
Published 25/04/2025
Publication Time 164 Days
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