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Utility Function Approach Integrated with Fuzzy for Optimization in Milling Glass Fiber Reinforced Epoxy Composites

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Recent Advances in Mechanical Infrastructure

Abstract

The glass fiber reinforced polymer (GFRP) composites are popular nowadays due to their widespread applications in aerospace and automobile industries. This is mainly because of their lightweight and high strength properties. But these materials need to be machined for any assembly or application. Therefore, it becomes crucial for manufacturers to maintain the required product quality without affecting the rate of productivity. In order to get effective machining, it is necessary to find favorable machining combinations. Hence, in this paper, the utility function based on fuzzy logic has been adapted with the purpose of assessing the favorable machining combination amid the end milling of GFRP composites.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, 380026, India

    Chirag Bagada, Himanshu Damor, Vishalkumar Prajapati & Kumar Abhishek

Authors
  1. Chirag Bagada
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  2. Himanshu Damor
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  3. Vishalkumar Prajapati
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  4. Kumar Abhishek
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Corresponding author

Correspondence to Kumar Abhishek .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Mechanical Engineering, Institute of Infrastructure Technology Research and Management, Ahmedabad, Gujarat, India

    Ajit Kumar Parwani

  2. Department of Mechanical Engineering, Faculty of Mechanical Engineering, Institute of Infrastructure Technology Research and Management, Ahmedabad, Gujarat, India

    PL. Ramkumar

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Bagada, C., Damor, H., Prajapati, V., Abhishek, K. (2020). Utility Function Approach Integrated with Fuzzy for Optimization in Milling Glass Fiber Reinforced Epoxy Composites. In: Parwani, A., Ramkumar, P. (eds) Recent Advances in Mechanical Infrastructure. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Singapore. https://doi.org/10.1007/978-981-32-9971-9_10

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  • DOI: https://doi.org/10.1007/978-981-32-9971-9_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9970-2

  • Online ISBN: 978-981-32-9971-9

  • eBook Packages: EngineeringEngineering (R0)

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