Investigating and Study of Various Composite Materials and Their Counterparts to Replace the Conventional Materials
- DOI
- 10.2991/978-94-6463-136-4_75How to use a DOI?
- Keywords
- Composite material; FEA; Carbon fiber; Glass fiber; Mass Optimization; Brackets
- Abstract
Composite materials are widely used in no. of industries due to their high performance, light weight and having good strength which is sometimes better than conventional materials. Many research papers are published on different types of composites brackets in the past few years. Referring to those papers and our study we will show the comparative study of different composite and conventional materials. The Bracket is redesigned in CATIA V5 and FEA Analysis is done using Ansys Workbench. Understanding and determining the requirement of thermosetting composite fulfils our requirement. So, we selected carbon fiber and glass fiber as reinforcement and epoxy as a resin. We are using hand-layup method for manufacturing of the component.
Testing of sample is performed on a universal testing machine to get the actual results. Testing is done in Delta Metallurgical Laboratory and Services, is one of the NABL accredited metallurgical testing lab with excellent facilities.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Girish C Mekalke AU - S R Basavaraddi PY - 2023 DA - 2023/05/01 TI - Investigating and Study of Various Composite Materials and Their Counterparts to Replace the Conventional Materials BT - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) PB - Atlantis Press SP - 851 EP - 862 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-136-4_75 DO - 10.2991/978-94-6463-136-4_75 ID - Mekalke2023 ER -