IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p2975-d796854.html
   My bibliography  Save this article

Numerical Investigations of Combustion—An Overview

Author

Listed:
  • 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
    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)

  • 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)

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 [...]

Suggested Citation

  • Mohsen Ayoobi & Pedro R. Resende & Alexandre M. Afonso, 2022. "Numerical Investigations of Combustion—An Overview," Energies, MDPI, vol. 15(9), pages 1-5, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:2975-:d:796854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/2975/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/9/2975/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tomasz Białecki & Wojciech Dzięgielewski & Mirosław Kowalski & Andrzej Kulczycki, 2021. "Reactivity Model as a Tool to Compare the Combustion Process in Aviation Turbine Engines Powered by Synthetic Fuels," Energies, MDPI, vol. 14(19), pages 1-16, October.
    2. Raul Payri & Pedro Marti-Aldaravi & Rami Abboud & Abian Bautista, 2021. "Numerical Analysis of GDI Flash Boiling Sprays Using Different Fuels," Energies, MDPI, vol. 14(18), pages 1-23, September.
    3. Maria Mitu & Domnina Razus & Volkmar Schroeder, 2021. "Laminar Burning Velocities of Hydrogen-Blended Methane–Air and Natural Gas–Air Mixtures, Calculated from the Early Stage of p ( t ) Records in a Spherical Vessel," Energies, MDPI, vol. 14(22), pages 1-16, November.
    4. Felix Grimm & Timo Lingstädt & Peter Kutne & Manfred Aigner, 2021. "Numerical and Experimental Study of a Jet-and-Recirculation Stabilized Low Calorific Combustor for a Hybrid Power Plant," Energies, MDPI, vol. 14(3), pages 1-19, January.
    5. Abdulafeez Adebiyi & Olatunde Abidakun & V’yacheslav Akkerman, 2020. "Acceleration of Premixed Flames in Obstructed Pipes with Both Extremes Open," Energies, MDPI, vol. 13(16), pages 1-19, August.
    6. Ju-Hwan Seol & Van Chien Pham & Won-Ju Lee, 2021. "Effects of the Multiple Injection Strategy on Combustion and Emission Characteristics of a Two-Stroke Marine Engine," Energies, MDPI, vol. 14(20), pages 1-16, October.
    7. Sunita Pokharel & Mohsen Ayoobi & V’yacheslav Akkerman, 2021. "Computational Analysis of Premixed Syngas/Air Combustion in Micro-channels: Impacts of Flow Rate and Fuel Composition," Energies, MDPI, vol. 14(14), pages 1-19, July.
    8. Pedro R. Resende & Leandro C. Morais & Carlos Pinho & Alexandre M. Afonso, 2022. "Combustion Characteristics of Premixed Hydrogen/Air in an Undulate Microchannel," Energies, MDPI, vol. 15(2), pages 1-15, January.
    9. Filipe M. Quintino & Edgar C. Fernandes, 2021. "Numerical Investigation of the Impact of H 2 Enrichment on Lean Biogas/Air Flames: An Analytical Modelling Approach," Energies, MDPI, vol. 14(2), pages 1-17, January.
    10. Mehdi Jadidi & Stevan Kostic & Leonardo Zimmer & Seth B. Dworkin, 2020. "An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions," Energies, MDPI, vol. 13(18), pages 1-27, September.
    11. Xiaoqin Hu & Arjen Kraaijeveld & Torgrim Log, 2020. "Numerical Investigation of the Required Quantity of Inert Gas Agents in Fire Suppression Systems," Energies, MDPI, vol. 13(10), pages 1-15, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Urszula Kaźmierczak & Wojciech Dzięgielewski & Andrzej Kulczycki, 2022. "Miscibility of Aviation Turbine Engine Fuels Containing Various Synthetic Components," Energies, MDPI, vol. 15(17), pages 1-25, August.
    2. Bartosz Gawron & Aleksander Górniak & Tomasz Białecki & Anna Janicka & Radosław Włostowski & Adriana Włóka & Justyna Molska & Maciej Zawiślak, 2021. "Impact of a Synthetic Component on the Emission of Volatile Organic Compounds during the Combustion Process in a Miniature Turbine Engine," Energies, MDPI, vol. 14(24), pages 1-9, December.
    3. Myeongsu Yoon & Minsung Choi & Kijoong Kang & Chaeho Oh & Yeseul Park & Gyungmin Choi, 2022. "Effects of n-Heptane/Methane Blended Fuel on Ignition Delay Time in Pre-Mixed Compressed Combustion," Energies, MDPI, vol. 15(11), pages 1-18, June.
    4. Kai Huang & Damir M. Valiev & Hongtao Zhong & Wenhu Han, 2023. "Numerical Study of the Influence of the Thermal Gas Expansion on the Boundary Layer Flame Flashback in Channels with Different Wall Thermal Conditions," Energies, MDPI, vol. 16(4), pages 1-19, February.
    5. Talal Yusaf & K. Kadirgama & Steve Hall & Louis Fernandes, 2022. "The Future of Sustainable Aviation Fuels, Challenges and Solutions," Energies, MDPI, vol. 15(21), pages 1-4, November.
    6. Jaroslaw Krzywanski, 2022. "Advanced AI Applications in Energy and Environmental Engineering Systems," Energies, MDPI, vol. 15(15), pages 1-3, August.
    7. Mehdi Jadidi & Luke Di Liddo & Seth B. Dworkin, 2021. "A Long Short-Term Memory Neural Network for the Low-Cost Prediction of Soot Concentration in a Time-Dependent Flame," Energies, MDPI, vol. 14(5), pages 1-18, March.
    8. Wang, Tao & Liang, He & Luo, Zhenmin & Yu, Jianliang & Cheng, Fangming & Zhao, Jingyu & Su, Bin & Li, Ruikang & Wang, Xuqing & Feng, Zairong & Deng, Jun, 2023. "Thermal suppression effects of diluent gas on the deflagration behavior of H2–air mixtures," Energy, Elsevier, vol. 272(C).
    9. Felix Grimm, 2022. "Low-Order Reactor-Network-Based Prediction of Pollutant Emissions Applied to FLOX ® Combustion," Energies, MDPI, vol. 15(5), pages 1-16, February.
    10. Zhang, Yanzhi & Xu, Leilei & Zhu, Yizi & Xu, Shijie & Bai, Xue-Song, 2023. "Numerical study on liquid ammonia direct injection spray characteristics under engine-relevant conditions," Applied Energy, Elsevier, vol. 334(C).
    11. Bartosz Ciupek & Karol Gołoś & Radosław Jankowski & Zbigniew Nadolny, 2021. "Effect of Hard Coal Combustion in Water Steam Environment on Chemical Composition of Exhaust Gases," Energies, MDPI, vol. 14(20), pages 1-24, October.
    12. Jiyuan Zhang & Qihong Feng & Xianmin Zhang & Qiujia Hu & Jiaosheng Yang & Ning Wang, 2020. "A Novel Data-Driven Method to Estimate Methane Adsorption Isotherm on Coals Using the Gradient Boosting Decision Tree: A Case Study in the Qinshui Basin, China," Energies, MDPI, vol. 13(20), pages 1-21, October.

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:2975-:d:796854. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.