Detection of Damage in Composite Materials Using Hybrid Fuzzy Logic Technique in Aerospace

Author:

Mahilraj Jenifer1ORCID,Avudaiappan T.2,Ponnusamy Sivaram3ORCID

Affiliation:

1. Department of AI and DS, NPR College of Engineering and Technology, Natham, India

2. Department of AI and DS, K. Ramakrishnan college of Technology, Trichy, India

3. Department of Artificial Intelligence, G.H. Raisoni College of Engineering, Nagpur, India

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.

Publisher

IGI Global

Reference24 articles.

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