H Radical Sensitivity-Assisted Automatic Chemical Kinetic Model Reduction for Laminar Flame Chemistry Retaining: A Case Study of Gasoline–DME Mixture under Engine Conditions-Reference-Cited by-同舟云学术

H Radical Sensitivity-Assisted Automatic Chemical Kinetic Model Reduction for Laminar Flame Chemistry Retaining: A Case Study of Gasoline–DME Mixture under Engine Conditions

Published:2019-03-28 Issue:4 Volume:33 Page:3551-3556
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Chen Yulin¹^ORCID,Chen Tao²^ORCID,Feng Yifang²,Ryu Je Ir¹,Yang Huan²,Chen Jyh-Yuan¹

Affiliation:

1. Department of Mechanical Engineering, University of California Berkeley, Berkeley, California 94720, United States

2. State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China

Funder

National Natural Science Foundation of China

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Ministry of Science and Technology of the People's Republic of China

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.8b04282

Reference35 articles.

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

2. Development of a reduced chemical mechanism targeted for a 5-component gasoline surrogate: A case study on the heat release nature in a GCI engine

3. A skeletal gasoline flame ionization mechanism for combustion timing prediction on HCCI engines

4. Skeletal mechanism generation for surrogate fuels using directed relation graph with error propagation and sensitivity analysis

5. COMPUTATIONAL STUDY OF PARTIAL FUEL STRATIFICATION FOR HCCI ENGINES USING GASOLINE SURROGATE REDUCED MECHANISM

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