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Modeling and Numerical Simulation of Ballistic Impact on Sandwich Composite Materials

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Advances of Science and Technology (ICAST 2021)

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Abstract

The objective of this work is to investigate the ballistic affect energy absorption behavior manufactured from Kevlar and jute-epoxy fiber sandwich composite materials by using finite element analysis and simulation techniques for impact protective helmet applications. Energy consumed and bullet speeds for these composites are examined analytically and using finite element analysis (FEA). Finite element analysis of Kevlar (KM2) plates is carried out at distinctive thicknesses (12 mm, 14 mm, and 24 mm). The analytical results of KM2 and KM2 with JE sandwich plates agree well with the results obtained from FE analysis with a maximum error of 1.14 m/s. The study on the KM2 composite plate uncovers that thickness has a noteworthy impact on the energy absorption properties. The energy absorption of the KM2 sandwich is 78.167% greater than the KM2 plates.

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Authors and Affiliations

  1. Faculty of Mechanical and Industrial Engineering, Bahir Dar University, Bahir Dar, Ethiopia

    Tibebu Merde Zelelew & Addisu Negashe Ali

  2. Department of Mechanical Engineering, Georgia Southern University, Statesboro, GA, USA

    Ermias Gebrekidan Koricho

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  1. Tibebu Merde Zelelew
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  2. Ermias Gebrekidan Koricho
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  3. Addisu Negashe Ali
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Editors and Affiliations

  1. Bahir Dar Institute of Technology, Faculty of Civil and Water Resource Engineering, Bahir Dar University, Bahir Dar, Ethiopia

    Mulatu Liyew Berihun

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zelelew, T.M., Koricho, E.G., Ali, A.N. (2022). Modeling and Numerical Simulation of Ballistic Impact on Sandwich Composite Materials. In: Berihun, M.L. (eds) Advances of Science and Technology. ICAST 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 412. Springer, Cham. https://doi.org/10.1007/978-3-030-93712-6_23

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  • DOI: https://doi.org/10.1007/978-3-030-93712-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93711-9

  • Online ISBN: 978-3-030-93712-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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