<b>Inverse problem for porosity estimation during solidification of TNT

Authors

  • Aldélio Bueno Caldeira Instituto Militar de Engenharia
  • Bruno dos Reis Jaccoud Instituto Militar de Engenharia / Universidade Federal do Rio de Janeiro
  • Rodrigo Otávio de Castro Guedes Instituto Militar de Engenharia

DOI:

https://doi.org/10.4025/actascitechnol.v38i4.27992

Keywords:

solidification, porosity, inverse problem, particle swarm.

Abstract

 In the present study, the porosity formed during the solidification process is estimated by an inverse problem technique based on particle swarm optimization. The effective heat capacity method is adopted to model the heat transfer problem. The transient-diffusive heat transfer equation is solved numerically by the finite volume method with an explicit scheme, employing the central difference interpolation function. The solution of the direct problem is compared to reference solutions. The model is applied to trinitrotoluene (TNT) solidification process. The results show that the proposed procedure was able to estimate the porosity for different Stefan numbers. The analysis of the heat flux in the mold is indicated to predict the porosity formation during the casting process.

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Author Biographies

Aldélio Bueno Caldeira, Instituto Militar de Engenharia

Professor de Engenharia Mecânica

Pós-Doutorado no Florida Solar Energy Center, 2014

Doutor em Engenharia Mecânica, UFRJ, 2004

 

Bruno dos Reis Jaccoud, Instituto Militar de Engenharia / Universidade Federal do Rio de Janeiro

Doutorando em Engenharia Mecânica, UFRJ

Mestre em Engenharia Mecânica, IME, 2013

Rodrigo Otávio de Castro Guedes, Instituto Militar de Engenharia

Professor de Engenharia Mecânica,

Ph.D. em Engenharia Mecânica pela North Caroline State University, 1993.

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Published

2016-08-26

How to Cite

Caldeira, A. B., Jaccoud, B. dos R., & Guedes, R. O. de C. (2016). <b>Inverse problem for porosity estimation during solidification of TNT. Acta Scientiarum. Technology, 38(4), 469–475. https://doi.org/10.4025/actascitechnol.v38i4.27992

Issue

Section

Mechanical Engineering

 

0.8
2019CiteScore
 
 
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

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