Genetic Algorithm Optimisation of a TNT Solidification Model

Çiğdem Susantez; Aldélio Bueno Caldeira

doi:10.14429/dsj.69.14037

Çiğdem Susantez Trakya University, Engineering Faculty, Mechanical Engineering Department, Edirne - 22030
Aldélio Bueno Caldeira Department of Mechanical and Materials Engineering, Military Institute of Engineering, Rio de Janeiro - 22290-270

DOI: https://doi.org/10.14429/dsj.69.14037

Keywords: TNT, Grenade, Solidification, Genetic algorithm, Solidification process, Neumann’s analytical solution

Abstract

The control of the solidification process of energetic materials is important to prevent manufacturing defects in high explosive ammunitions. The present work aims to propose an optimisation procedure to determine the value of the model parameter, avoiding the traditional trial and error approach. In this work, the solidification of TNT has been numerically modelled employing apparent heat capacity method and the model parameter was optimised using genetic algorithm. One dimensional numerical model has been solved in Comsol Multiphysics Modeling Software and the genetic algorithm code was written in Matlab. The Neumann’s analytical solution of the solidification front was used as a reference to build the fitness function, following the inverse problems concepts. The optimum model parameter has been predicted after 20 generations and among 30 candidate solutions for each generation. The numerical solution performed with the optimised model parameter has agreed with the analytical solution, indicating the feasibility of the proposed procedure. The discrepancy was 3.8 per cent when maximum difference between analytical and numerical solutions was observed.

Author Biographies

Çiğdem Susantez, Trakya University, Engineering Faculty, Mechanical Engineering Department, Edirne - 22030

Ms Çiğdem Susantez graduated from the Mechanical Engineering Department of Trakya U niversity, in 2007 and obtained her PhD from Trakya U niversity, in 2015. She has been working as an Instructor Dr. at Mechanical Engineering Department of Trakya U niversity. Her main research fields are heat transfer, fluid mechanics, drying and nanofluids.
She had performed the numerical analysis of this study and adapted genetic algorithm method to this research.

Aldélio Bueno Caldeira, Department of Mechanical and Materials Engineering, Military Institute of Engineering, Rio de Janeiro - 22290-270

Mr Aldélio Bueno Caldeira graduated, Cum Laude, in Mechanical Engineering and DSc from Federal University of Rio de Janeiro, in 1995 and 2004, respectively. He works in Brazilian Army since 1997 and he is military professor of Mechanical Engineering at Military Institute of Engineering (IME) since 2004. He is Prorector of Research, Extension and Innovation at IME. His main research fields are heat transfer, combustion, aerodynamics, optimisation and inverse problems.
In current work, he had conducted the modelling and data analysis.