Title: Mechanical behaviour and analysis of advanced polymer-based Kevlar-49 composite material

Authors: M. Kaliraj; P. Narayanasamy; P. Balasundar; M. Rajkumar

Addresses: Department of Mechanical Engineering, AAA College of Engineering and Technology, Virudhunagar, Tamil Nadu, India ' Department of Mechanical Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, Tamil Nadu, India ' Anna University Regional Centre, Coimbatore-641047, Tamil Nadu, India ' Department of Mechanical Engineering, R.V.S College of Engineering and Technology, Dindigul, Tamil Nadu, India

Abstract: The fatigue behaviour of reinforced composites is complex and the present knowledge of fatigue study still needs extensive investigation of the micromechanical composite behaviour. In fibre reinforced composites mechanical properties are highly dependent on their compositions, the matrix type as well as the volume fraction of the reinforcement and their arrangements such as random orientation and distribution, which increase the complexity in the study of fatigue damage behaviour. There exist several classes of models to predict the fatigue life or the fatigue degradation of fibre reinforced composites but there exists so far no fatigue model that can be applied to a wide range of fibre reinforced composites. Thus, modifications of fatigue models are always needed in accordance with the micromechanical behaviour of different fibre/matrix composites. In this project the fatigue failure is rectified by using polymer-based Kevlar composite material. The design and fabrication involves the design of polymer matrix like as fibre and resin, hardener etc. Kevlar-49 is chosen for as fabricating material to carry out this work. The fabrication set up is made by hand lay-up and it is demonstrated satisfactorily.

Keywords: epoxy resin; Kevlar-49 fibres; mechanical properties; advanced polymers; kevlar composites; composite materials; fatigue failure; fibre reinforced composites.

DOI: 10.1504/IJCAET.2017.083397

International Journal of Computer Aided Engineering and Technology, 2017 Vol.9 No.2, pp.251 - 260

Received: 24 Jun 2014
Accepted: 16 Dec 2014
Published online: 27 Mar 2017 *

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