Multi-objective optimization for combustion, thermodynamic and emission characteristics of Atkinson cycle engine using tree-based machine learning and the NSGA II algorithm-Reference-Cited by-同舟云学术

Multi-objective optimization for combustion, thermodynamic and emission characteristics of Atkinson cycle engine using tree-based machine learning and the NSGA II algorithm

Published:2023-06 Issue: Volume:342 Page:127839
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Sun Xilei,Xie Mingke,Zhou Feng,Fu Jianqin,Liu Jingping

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Key Scientific Instrument and Equipment Development Projects of China

Publisher

Elsevier BV

Subject

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

Reference41 articles.

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3. A comparative investigation between particle oxidation catalyst (POC) and diesel particulate filter (DPF) coupling aftertreatment system on emission reduction of a non-road diesel engine;Feng;Ecotoxicol Environ Saf,2022

4. Effects of hydrogen addition on combustion, thermodynamics and emission performance of high compression ratio liquid methane gas engine;Fu;Fuel,2021

5. Potential of emission reduction of a turbo-charged non-road diesel engine without aftertreatment under multiple operating scenarios;Feng;Energy,2023

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