Determination of Effective Shear Modulus of Graphite/Epoxy Mixture by an Inverse Method

Author:

Acharyya K.1,Chattopadhyay Arun2,Dixit U. S.3

Affiliation:

1. Center for Nanotechnology, IIT Guwahati, Guwahati, Assam, India

2. Center for Nanotechnology, IIT Guwahati, India, Department of Chemistry, IIT Guwahati, Guwahati, Assam, India

3. Department of Mechanical Engineering, IIT Guwahati, Guwahati, Assam, India

Abstract

In recent years, there has been an influx of multi-material components into the manufacturing field. For a large number of cases where joining of non-metallic parts are involved, adhesive bonding is given preference over traditional joining processes. One of the prominent methods of enhancement of adhesive bond strength is by use of additives on the adhesive. Adhesive joints are commonly used in load-bearing structures. The loading is primarily in the shear mode. Hence, the shear modulus of the adhesive is a primary index of the adhesive bond-strength. In this work, a mathematical model for adhesively bonded single strap butt joint is developed and an inverse method to calculate the effective shear moduli of graphite/epoxy mixtures of different ratios is presented.

Publisher

IGI Global

Reference12 articles.

1. Acharyya, K., Chattopadhyay, A., Budhe, S. R., & Dixit, U. S. (2008). The effect of carbon based additives and surface roughness of adherend surface on adhesive bond strength. In Proceedings of SOJOM 2008, Tiruchirapalli, India (pp. 87-92).

2. Elastic analysis and engineering design formulae for bonded joints

3. Analytical models of adhesively bonded joints—Part I: Literature survey

4. Analytical models of adhesively bonded joints—Part II: Comparative study

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3