In-depth insight into turbulent combustion modelling
In-depth insight into turbulent combustion modelling
The review article 'Turbulent combustion modelling for internal combustion engine CFD: A review' provides a comprehensive overview of turbulent combustion modelling in computational fluid dynamics (CFD modelling) for internal combustion engines (#ICE). The article highlights the importance of specific combustion models, their areas of application and future developments, including new fuels and the integration of machine learning.
The article is aimed at both young scientists entering this exciting field of research and experienced professionals wishing to deepen their knowledge in this area.
The article is aimed at both young scientists entering this exciting field of research and experienced professionals wishing to deepen their knowledge in this area.
KEY TAKE-AWAYS 🚀:
- Overview of ICE Combustion Concepts: The paper begins with a discussion of general HashtagICE combustion concepts and the specific demands these place on Hashtagturbulent Hashtagcombustion modeling.
- Governing Equations and Chemical Reaction Modeling: It presents the governing equations for simulating Hashtagreacting Hashtagflows and summarizes the principles of Hashtagchemical Hashtagreaction modeling.
- Turbulent Combustion Models: A detailed review of Hashtagturbulent Hashtagcombustion models applicable to HashtagICE simulations is provided, including their mathematical formulations and relevant parameters.
- Application Cases: The paper reviews application cases related to different HashtagICE technologies, such as spark ignition (HashtagSI) and compression ignition (HashtagCI) engines, and discusses extensively the performance of these models.
- Recent Advances: It highlights recent advancements in Hashtagturbulent Hashtagcombustion modeling, particularly the need for model adaptations to accommodate the unique characteristics of future fuels.
- Future Research Directions: The paper outlines future research directions, emphasizing the importance of enhancing Hashtagturbulent Hashtagcombustion models to ensure high accuracy in simulations. It also discusses the integration of Hashtagmachine Hashtaglearning techniques to improve combustion simulation capabilities.
- Conclusion: The conclusion reiterates the significance of ongoing research in HashtagCFD Hashtagturbulent Hashtagcombustion modeling for achieving sustainable HashtagICE solutions.
👉 You can read the publication here: https://authors.elsevier.com/sd/article/S0360-1285(24)00058-3
👏 Congrats to the authors on this excellent article:
Many congratulations to the team of authors on this outstanding article in the world-renowned journal ‘Progress in Energy and Combustion Science’, published by Elsevier (#Impact #Factor 32. 0), the leading journal in the field of energy and combustion technology: Dr Stefan Posch, first author and team leader for this project, Dr Clemens Gößnitzer, Assoc. Prof. Michael Lang, Prof. Ricardo Novella, Assoc. Prof. Helfried Steiner, Prof. Andreas Wimmer