Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine-Reference-Cited by-同舟云学术

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Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine

Published:2022-01 Issue: Volume:201 Page:117749
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Fu Jiahong,Yang Ruomiao,Li Xin,Sun Xiaoxia,Li Yong,Liu Zhentao,Zhang Yu,Sunden Bengt

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference52 articles.

1. Effect of piston crevices on the numerical simulation of a heavy-duty diesel engine retrofitted to natural-gas spark-ignition operation;Stocchi;J. Energy Res. Technol.,2019

2. Estimations of gasifier wall temperature and extent of slag penetration using a refractory brick with embedded sensors;Huang;Ind. Eng. Chem. Res.,2017

3. Liu J, Dumitrescu C. CFD Simulation of Metal and Optical Configuration of a Heavy-Duty CI Engine Converted to SI Natural Gas. Part 2: In-Cylinder Flow and Emissions. SAE Technical Paper, 2019: 2019-01-0003.

4. Optimal sensor network design for multi-scale, time-varying differential algebraic equation systems: Application to an entrained-flow gasifier refractory brick;Huang;Comput. Chem. Eng.,2020

5. F. Schafer, F. Schäfer, R. Van Basshuysen, Reduced emissions and fuel consumption in automobile engines, Springer Science & Business Media, 1995.

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