A data-driven framework to predict ignition delays of straight-chain alkanes-Reference-Cited by-同舟云学术

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A data-driven framework to predict ignition delays of straight-chain alkanes

Published:2022-06-16 Issue:5 Volume:26 Page:943-967
ISSN:1364-7830
Container-title:Combustion Theory and Modelling
language:en
Short-container-title:Combustion Theory and Modelling

Author:

Rajubhai Rana Pragneshkumar¹²^ORCID,Narayanaswamy Krithika¹^ORCID,Ambikasaran Sivaram²^ORCID

Affiliation:

1. Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, India

2. Department of Mathematics, Indian Institute of Technology Madras, Chennai, India

Funder

Board of Research in Nuclear Sciences

Science and Engineering Research Board

Department of Science and Technology

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,Modeling and Simulation,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/13647830.2022.2086068

Reference52 articles.

1. Toward accommodating realistic fuel chemistry in large-scale computations

2. Horning D.C. A study of the high-temperature autoignition and thermal decomposition of hydrocarbons, Ph.D. diss., Stanford University, Stanford, CA, 2001.

3. A chemical kinetically based ignition delay correlation for iso-octane covering a wide range of conditions including the NTC region

4. Correlations for the ignition delay times of hydrogen/air mixtures

5. On the controlling mechanism of the upper turnover states in the NTC regime

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