Numerical Simulation of Composite Reinforced by Spun Thread Knitted Fabric
20th International Scientific Conference "Engineering for Rural Development": Proceedings. Vol.20 2021
Umesh Haribhai Vavaliya, Jemish Modi, Olga Kononova

The paper focuses on the numerical simulation to predict the stress - strain analysis and elastic parameters of composite materials reinforced by knitted fabric. Due to the symmetrical and repeating distribution of thread loops, instead of focusing on entire fabric, we can form and analyse a generalized structure called unit cell in order to use less complex computer programming. Numerical simulation in Solidworks is done on the unit cell with given boundaries conditions and assumptions to determine the elastic properties of the composite unit cell. A comparative study is also done by using T300 Carbon fiber thread and SY11/1 Steel thread and Hybrid T300 - SY11/1 thread with epoxy as the matrix material with elastic modulus of 4GPa. Valid geometric representations of loops are created by the Leaf and Glaskin Model. The effect of single and multi-thread on the elastic properties of composite material are determined. The resulted elastic properties of composite materials have shown that hybrid threads can be a better reinforcement for composite material with highest modulus of elasticity of 9.35GPa. While single T300 Carbon fiber thread has higher elastic modulus of 8.48GPa compared to SY11/1 steel fiber of 6.09GPa. The addition of Hybrid T300 - SY11/1 reinforcement in epoxy improves the elastic modulus and mechanical strength, while reducing the weight, making it the first choice of selection over other metals and alloys.


Keywords
Elastic modulus | Knitted fabric
DOI
10.22616/ERDev.2021.20.TF160
Hyperlink
https://www.tf.llu.lv/conference/proceedings2021/Papers/TF160.pdf

Vavaliya, U., Modi, J., Kononova, O. Numerical Simulation of Composite Reinforced by Spun Thread Knitted Fabric. In: 20th International Scientific Conference "Engineering for Rural Development": Proceedings. Vol.20, Latvia, Jelgava, 26-28 May, 2021. Jelgava: Latvia University of Life Sciences and Technologies, 2021, pp.731-736. ISSN 1691-5976. Available from: doi:10.22616/ERDev.2021.20.TF160

Publication language
English (en)
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