156
Views
11
CrossRef citations to date
0
Altmetric
Articles

Dynamic and vibrational characterization of natural fabrics incorporated hybrid composites using industrial waste silica fumes

&
Pages 721-730 | Received 02 Sep 2019, Accepted 12 Sep 2019, Published online: 24 Sep 2019
 

Abstract

Recycling of industrial waste into a useful component is very necessary than dumping into the nature. Silica fumes, a byproduct of producing silicon metal or ferrosilicon alloys, are used in this study as filler material in the composite. This study deals with the dynamic and vibration properties of the natural fabric reinforced polymer hybrid composites containing silica fumes. The composites are prepared by hand lay-up process using jute, linen and epoxy matrix. To increase the dynamic and vibration properties of the composite, industrial waste i.e. silica fumes is added as filler material (in 1, 2, and 3 wt%) to the composites. The dynamic and vibration properties are acquired using dynamic mechanical analysis and vibration analysis, respectively. The glass transition temperature is also determined. Upon adding a small quantity of silica fumes, the composites’ storage modulus, loss modulus, natural frequency, and glass transition temperature have increased significantly. However, owing to agglomeration of silica fumes, the composite’s above-mentioned properties have not increased for silica fumes adding beyond 2% weight fraction.

Disclosure of potential conflicts of interest

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 492.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.