Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm-Reference-Cited by-同舟云学术

Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm

Published:2023-01 Issue: Volume:263 Page:125961
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wang Huaiyu^ORCID,Ji Changwei,Shi Cheng,Yang Jinxin,Wang Shuofeng,Ge Yunshan,Chang Ke,Meng Hao,Wang Xin

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference58 articles.

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2. Parallel perturbation analysis of combustion cycle-to-cycle variations and emissions characteristics in a natural gas spark ignition engine with comparison to consecutive cycle method;Duan;Chemosphere,2022

3. Two-stroke Wankel type rotary engine: a new approach for higher power density;Kutlar;Energies,2019

4. Evaluation of heat release and combustion analysis in spark ignition Wankel and reciprocating engine;Cihan;Fuel,2020

5. Potential improvement in combustion and pollutant emissions of a hydrogen-enriched rotary engine by using novel recess configuration;Shi;Chemosphere,2022

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