Numerical Investigations of Combustion—An Overview

Mohsen Ayoobi, Pedro R. Resende and Alexandre M. Afonso
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Mohsen Ayoobi: Division of Engineering Technology, Wayne State University, Detroit, MI 48201, USA
Pedro R. Resende: proMetheus, School of Technology and Management (ESTG), Polytechnic Institute of Viana do Castelo (IPVC), Praça Gen. Barbosa 44, 4900-347 Viana do Castelo, Portugal
Alexandre M. Afonso: Centro de Estudos de Fenómenos de Transporte, Departamento de Engenharia Mecânica, Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal

Energies, 2022, vol. 15, issue 9, 1-5

Abstract: With the recent advancements in computational capacities and the widespread applications of machine learning in engineering problems, the role of numerical methods has been becoming more and more important to improve existing models or develop new models that can help researchers to better understand the underlying physics of combustion, their interaction with other physical phenomena such as turbulence, and their impacts on the performance of the related applications at both fundamental and practical levels [...]

Keywords: n/a (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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