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Journal Articles

Assessing Hydrogen–Ammonia Ratios to Achieve Rapid Kernel Inception in Spark-Ignition Engines

Yuchao Yan, Tansu Shang, Lingmin Li, Zhentao Liu, Jinlong Liu

Publisher: ASME

J. Energy Resour. Technol. June 2024, 146(6): 062301.

Paper No: JERT-24-1028

https://doi.org/10.1115/1.4065198

Published Online: April 16, 2024

...Yuchao Yan; Tansu Shang; Lingmin Li; Zhentao Liu; Jinlong Liu In the quest for decarbonizing internal combustion engines, ammonia (NH 3 ) is recognized as a viable alternative fuel due to its zero-carbon emission profile, positioning it as a potential substitute for conventional petroleum fuels...

View Article titled, Assessing Hydrogen–Ammonia Ratios to Achieve Rapid Kernel Inception in Spark-Ignition Engines

Topics: Flames, Hydrogen, Combustion, Fuels, Methane, Engines, Compression

Journal Articles

Computational Optimization of a Spark Ignition Engine Fueled With Biomass-Derived Syngas

David Sebastian Pérez Gordillo, Juan Miguel Mantilla González

Publisher: ASME

J. Energy Resour. Technol. October 2022, 144(10): 102309.

Paper No: JERT-22-1119

https://doi.org/10.1115/1.4054354

Published Online: May 9, 2022

...] Bates , R. P. , and Dölle , K. , 2017 , “ Syngas Use in Internal Combustion Engines—A Review ,” Adv. Res. , 10 ( 1 ), pp. 1 – 8 . 10.9734/AIR/2017/32896 [2] Herdem , M. S. , Lorena , G. , and Wen , J. Z. , 2019 , “ Simulation and Performance Investigation of a Biomass...

View Article titled, Computational Optimization of a Spark Ignition Engine Fueled With Biomass-Derived Syngas

Topics: Biomass, Combustion chambers, Emissions, Engines, Fuels, Gasoline, Optimization, Simulation, Spark-ignition engine, Syngas

Journal Articles

Computational Study of the Effects of Ignition Parameters Changes on a Spark Ignition Engine Fueled With Syngas

David Sebastian Pérez Gordillo, Juan Miguel Mantilla González

Publisher: ASME

J. Energy Resour. Technol. November 2022, 144(11): 112306.

Paper No: JERT-22-1118

https://doi.org/10.1115/1.4054190

Published Online: April 26, 2022

... 22 03 2022 26 04 2022 internal combustion engine syngas 3D simulation ignition parameters flame area full-cycle simulation alternative energy sources energy conversion/systems energy from biomass fuel combustion renewable energy Universidad Nacional de Colombia...

View Article titled, Computational Study of the Effects of Ignition Parameters Changes on a Spark Ignition Engine Fueled With Syngas

Topics: Cycles, Emissions, Engines, Fuels, Ignition, Simulation, Syngas, Combustion chambers, Combustion, Spark-ignition engine

Journal Articles

Effects of Backpressure on the Performance of Internal Combustion Engine and Automobile Exhaust Thermoelectric Generator

Rui Quan, Yousheng Yue, Zikang Huang, Yufang Chang, Yadong Deng

Publisher: ASME

J. Energy Resour. Technol. September 2022, 144(9): 092301.

Paper No: JERT-21-1631

https://doi.org/10.1115/1.4053546

Published Online: February 4, 2022

.... However, the added heat exchanger will result in undesired backpressure, which may deteriorate the performance of the internal combustion engine (ICE). To evaluate the backpressure on the performance of both the ICE and the AETEG, the model of ICE integrated with AETEG was established with the GT-power...

View Article titled, Effects of Backpressure on the Performance of Internal Combustion Engine and Automobile Exhaust Thermoelectric Generator

Topics: Cylinders, Exhaust systems, Heat exchangers, Internal combustion engines, Temperature, Automobiles, Generators, Engines, Pressure

Journal Articles

Neural Network Soft Sensors for Gasoline Engine Exhaust Emission Estimation

Qingyuan Tan, Xiaoye Han, Ming Zheng, Jimi Tjong

Publisher: ASME

J. Energy Resour. Technol. August 2022, 144(8): 082103.

Paper No: JERT-21-1600

https://doi.org/10.1115/1.4052793

Published Online: November 12, 2021

.... , and Kolmanovsky , I. , 2010 , Automotive Model Predictive Control—Models, Methods, and Applications , Springer-Verlag , London . [5] Tan , Q. , 2018 , “ Model-Guided Data-Driven Optimization and Control for Internal Combustion Engine Systems ,” Ph.D. dissertation , University of Windsor...

View Article titled, Neural Network Soft Sensors for Gasoline Engine Exhaust Emission Estimation

Topics: Emissions, Engines, Exhaust systems, Gasoline engines, Nitrogen oxides, Sensors, Temperature, Stress, Steady state, Model validation

Journal Articles

An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

Opeoluwa Owoyele, Pinaki Pal, Alvaro Vidal Torreira

Publisher: ASME

J. Energy Resour. Technol. August 2021, 143(8): 082305.

Paper No: JERT-21-1175

https://doi.org/10.1115/1.4050489

Published Online: April 9, 2021

...@anl.gov Email: alvaro@parallelworks.com Contributed by the Internal Combustion Engine Division of ASME for publication in the J ournal of E nergy R esources T echnology . 23 02 2021 26 02 2021 26 02 2021 09 04 2021 design optimization internal combustion engine...

View Article titled, An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

Topics: Algorithms, Design, Errors, Machinery, Optimization, Computational fluid dynamics, Simulation, Engines

Journal Articles

Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach

Jihad A. Badra, Fethi Khaled, Meng Tang, Yuanjiang Pei, Janardhan Kodavasal, Pinaki Pal, Opeoluwa Owoyele, Carsten Fuetterer, Brenner Mattia, Farooq Aamir

Publisher: ASME

J. Energy Resour. Technol. February 2021, 143(2): 022306.

Paper No: JERT-20-1594

https://doi.org/10.1115/1.4047978

Published Online: August 27, 2020

.... In this work, a Machine Learning-Grid Gradient Ascent (ML-GGA) approach was developed to optimize the performance of internal combustion engines. ML offers a pathway to transform complex physical processes that occur in a combustion engine into compact informational processes. The developed ML-GGA model...

View Article titled, Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach

Topics: Algorithms, Computational fluid dynamics, Design, Engines, Machine learning, Optimization, Pistons, Machinery, Robustness, Internal combustion engines

Journal Articles

Exhaust Heat Recovery Unit Equipped With Nanofluid and Helical Tapes, a Solution for Cleaner Energy Production

M. Sheikholeslami, A. Arabkoohsar, M. Jafaryar

Publisher: ASME

J. Energy Resour. Technol. November 2020, 142(11): 112111.

Paper No: JERT-20-1334

https://doi.org/10.1115/1.4047884

Published Online: August 21, 2020

...M. Sheikholeslami; A. Arabkoohsar; M. Jafaryar In internal combustion engines (ICE), a major part of the generated energy via burning the fuel is wasted. The cooling fluid controlling the temperature, the reclaimed hot gases for reducing the environmental impacts, and the hot combustion productions...

View Article titled, Exhaust Heat Recovery Unit Equipped With Nanofluid and Helical Tapes, a Solution for Cleaner Energy Production

Topics: Exhaust systems, Heat exchangers, Heat recovery, Nanofluids, Fluids, Internal combustion engines, Temperature, Flow (Dynamics), Reynolds number, Engines

Journal citation

NARROW

Assessing Hydrogen–Ammonia Ratios to Achieve Rapid Kernel Inception in Spark-Ignition Engines

Computational Optimization of a Spark Ignition Engine Fueled With Biomass-Derived Syngas

Computational Study of the Effects of Ignition Parameters Changes on a Spark Ignition Engine Fueled With Syngas

Effects of Backpressure on the Performance of Internal Combustion Engine and Automobile Exhaust Thermoelectric Generator

Neural Network Soft Sensors for Gasoline Engine Exhaust Emission Estimation

An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach

Exhaust Heat Recovery Unit Equipped With Nanofluid and Helical Tapes, a Solution for Cleaner Energy Production

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