Abstract

The temperature of clay box used in the ballistic testing of body amour drops sharply upon removal from the oven. This implies that the clay has to be reinserted into the oven for another heating, which slows down the ballistic testing procedure. This paper attempts to solve the problem by studying the effect of addition of different percentages of rubber cuttings, saw dust and berley reeds additives on the cooling rate of clay used in clay box construction. The cooling rate is a measure of the ballistic performance of the clay box. The properties of the clay box such as the density, thermal conductivity and specific heat capacity are factored into the lump system analysis model. Minimum cooling rate of about 2.04×10-03 and 1.89×10-03oC/s were obtained when 0% and 10% rubber cuttings were used as dopands respectively. Rubber cuttings also proved to be the best additives that can be used to enhance the ballistic performance of clay box used in the ballistic testing of body armour.

Highlights

  • The evaluation of the performance of hard and soft body armor is done by placing clay at the back of the armor and firing the clay used with bullets or any other ballistic material

  • We shall use the above model to evaluate the ballistic performance of the clay box by varying the values of ρ, c and K due to different percentages of additives on the clay used in the construction of the clay box

  • The cooling rate serves as the performance metrics for ballistic performance of clay used in the construction of clay box

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Summary

Introduction

The evaluation of the performance of hard and soft body armor is done by placing clay at the back of the armor and firing the clay used with bullets or any other ballistic material. The Lump system analysis was used to compute the cooling rate of clay with various percentages of additives using a code written c++ and compiled with devcpp 4.9.9.2 This computational modelling was based on the results of experimental measurements of density, heat capacity and thermal conductivity of clay as reported by (Silva & Perera, 2018; Rahman, 2014; Folaranmi, 2009; Ahmad, Iqbal, & Muhammad, 2017; Journal & Scientific, 2011)

Methodology
The Calculation of Biot Number
The Model
Result and Analysis
Conclusion
Findings
The Program

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