Multi-objective optimization of carbon-glass fiber polymer drilling process based on fuzzy grey entropy weighing method

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Year : 2025 | Volume : 13 | 06 | Page :
    By

    Purna Surendernath,

  • P. Kasi V. Rao,

  • M. V. Satish Kumar,

  • M. Pradeep Kumar,

  1. Research Scholar, Department of mechanical engineering, KoneruLakshmaiah Education Foundation, Vaddeshwaram, Andhra Pradesh, India
  2. Associate Professor, Department of Mechanical engineering, KoneruLakshmaiah Education Foundation, Vaddeshwaram, Andhra Pradesh, India
  3. Professor & Head, Department of Mechanical engineering, Kamala institute of technology and science, Singapore, Telangana, India
  4. Lecturer, Department of Mechanical Engineering, JNTUH University College of Engineering Science & Technology, Hyderabad, Telangana, India

Abstract

In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill bit diameter, and point angle, on these characteristics was systematically investigated. A multi-objective optimization approach was employed to determine the optimal parameter combinations for drilling CGFR composites. The experimental design was based on the Taguchi method, considering spindle speed, drill bit diameter, and point angle as input parameters. The performance characteristics, such as surface roughness and circularity error, were analyzed using grey relational analysis integrated with a fuzzy inference system (FIS) to manage multiple responses effectively. The fuzzy inference system was utilized to convert the performance characteristics into a common factor level setting to optimize the machining process. The study’s findings demonstrated that the optimal combination of drilling parameters significantly minimized both surface roughness and circularity error, enhancing the overall quality of the drilled hybrid composite.

Keywords: Hybrid Composite, Fuzzy logic, Grey relational analysis, Drilling, Optimization.

How to cite this article:
Purna Surendernath, P. Kasi V. Rao, M. V. Satish Kumar, M. Pradeep Kumar. Multi-objective optimization of carbon-glass fiber polymer drilling process based on fuzzy grey entropy weighing method. Journal of Polymer and Composites. 2025; 13(06):-.
How to cite this URL:
Purna Surendernath, P. Kasi V. Rao, M. V. Satish Kumar, M. Pradeep Kumar. Multi-objective optimization of carbon-glass fiber polymer drilling process based on fuzzy grey entropy weighing method. Journal of Polymer and Composites. 2025; 13(06):-. Available from: https://journals.stmjournals.com/jopc/article=2025/view=225983


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Ahead of Print Subscription Original Research
Volume 13
06
Received 30/05/2025
Accepted 05/07/2025
Published 25/08/2025
Publication Time 87 Days
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