Machine Learning and Its Application to Reacting Flows: ML and Combustion

Swaminathan, Nedunchezhian, Parente, Alessandro

  • 出版商: Springer
  • 出版日期: 2023-01-02
  • 售價: $2,110
  • 貴賓價: 9.5$2,005
  • 語言: 英文
  • 頁數: 346
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031162501
  • ISBN-13: 9783031162503
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)


This is open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.

These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world's total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and "greener" combustion systems that are friendlier to the environment can be designed.

The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.





Nedunchezhian Swaminathan is a Professor of Mechanical Engineering in Cambridge University, UK, and Fellow and Director of Studies in Robinson College, Cambridge. He is a Fellow of The Combustion Institute since 2018. Swaminathan holds visiting Professorships in many overseas Universities and consults to a number of industries in Transport and Energy Sectors. He has 25 years of research and teaching experiences in the fields of Combustion, Turbulence, Combustion Noise and Instabilities, and Simulations of Flows with Multi-physics occurring in engineering applications and geophysics.
Alessandro Parente is Professor of Thermodynamics, Fluid Mechanics and Combustion at the Aero-Thermo-Mechanical Department of Université Libre de Bruxelles, as well as director of the Combustion and Robust Optimisation research center (BURN, In this capacity, he also serves as vice-president of the Belgian Section of the Combustion Institute. The research interests of Dr. Parente are in the field of turbulent/chemistry interaction in turbulent combustion and reduced-order models, non-conventional fuels and pollutant formation in combustion systems, novel combustion technologies, numerical simulation of atmospheric boundary layer flows, and validation and uncertainty quantification.


Nedunchezhian Swaminathan是英國劍橋大學機械工程學教授,也是劍橋羅賓遜學院的研究員和導師。他自2018年起成為燃燒學會的會士。Swaminathan在許多海外大學擔任客座教授,並為運輸和能源行業的多個企業提供諮詢服務。他在燃燒、湍流、燃燒噪音和不穩定性以及工程應用和地球物理學中出現的多物理流動模擬等領域擁有25年的研究和教學經驗。

Alessandro Parente是布魯塞爾自由大學航空熱力機械系的熱力學、流體力學和燃燒學教授,也是燃燒和強健優化研究中心(BURN,的主任。在這個職位上,他還擔任比利時燃燒學會的副主席。Parente博士的研究興趣包括湍流/化學反應在湍流燃燒中的相互作用和簡化模型、非傳統燃料和燃燒系統中的污染物生成、新型燃燒技術、大氣邊界層流動的數值模擬以及驗證和不確定性量化。