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Detection of Damage in Composite Materials Using Hybrid Fuzzy Logic Technique in Aerospace
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Author(s): Jenifer Mahilraj (Department of AI and DS, NPR College of Engineering and Technology, Natham, India), T. Avudaiappan (Department of AI and DS, K. Ramakrishnan college of Technology, Trichy, India)and Sivaram Ponnusamy (Sandip University, Nashik, India)
Copyright: 2023
Pages: 16
Source title:
Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications
Source Author(s)/Editor(s): Ponnusamy Sivaram (G.H. Raisoni College of Engineering, Nagpur, India), S. Senthilkumar (University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, India), Lipika Gupta (Department of Electronics and Communication Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, India)and Nelligere S. Lokesh (Department of CSE-AIML, AMC Engineering College, Bengaluru, India)
DOI: 10.4018/978-1-6684-8306-0.ch008
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Abstract
In the past two decades, the use of various materials for various structural and mechanical aspects has become increasingly important. Scientists in today's high-tech world have a vested interest in exotic materials with novel features. Composite material utilisation has increased dramatically during the past two decades to satisfy the needs of the aerospace, nuclear, and aeronautics industries. Fibre reinforced polymer matrix composites are increasingly being used in place of traditional metallic materials due to their superior performance in a number of areas, including fatigue, damage tolerance, and greater resistance to oxidation. In this investigation, the authors set out to develop and characterise a polymer-based composite packed with nano-micro particles for use in aerospace. In this chapter, the authors employ a hybrid of the FAHP and FTOPSIS to assign an overall rating to various dental composites. The research results presented here enhance the development of effective and precise damage detection techniques for composite materials.
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