Mohamed S. Hofny- Master of Engineering
- Teaching Assistant at South Valley University
Mohamed S. Hofny
- Master of Engineering
- Teaching Assistant at South Valley University
Teaching assistant, Faculty of Engineering, Mechanical Engineering Dept, South Valley University
About
7
Publications
1,297
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23
Citations
Introduction
I am a mechanical engineer specializing in internal combustion engines, focusing on alternative fuels and emission reduction. My research optimizes engine performance using advanced techniques like artificial neural networks (ANN) and support vector machines (SVM). I have contributed to the field by studying biodiesel combustion processes and applying deep learning to predict engine behavior, aiming to improve efficiency and environmental impact in sustainable fuel technologies.
Current institution
Additional affiliations
June 2024 - present
Faculty of Engineering South Valley University
Position
- Research Assistant
Education
September 2015 - July 2020
Faculty of Engineering South Valley University
Field of study
- Mechanical Enginnering
Publications
Publications (7)
Recently, the combustion of fuel has emerged as a significant global concern. Numerous studies have highlighted the various emissions produced by different fuels. Due to the harmful pollutants and greenhouse gases emitted by fossil fuels, there has been a shift towards renewable and alternative energy sources to mitigate these adverse environmental...
In this study, deep learning (DL) model is used to predict brake power (BP) of GX35-OHC 4-stroke, air-cooled, single-cylinder gasoline engine. The engine uses E15 (85% gasoline + 15% ethanol) as a fuel due to its high performance and low emissions. A convolutional neural networks (CNN) model is used on time-series data due to their ability to captu...
Fuel combustion has become a major global concern, with much research focusing on the various emissions resulting from different types of fuels. Due to the harmful pollutant emissions from fossil fuels, the world has turned to renewable and alternative fuels to limit toxic emissions and greenhouse effects. Ethanol is a biofuel that, when used in sp...
Currently, artificial neural networks (ANNs) and support vector machines (SVMs) are the most common applications of machine learning approaches. In this study, a comparative study of ANN and SVM is presented to evaluate the performance of each model in predicting the brake power (BP) of GX35-OHC 4-stroke, air-cooled, single cylinder gasoline engine...
In recent years, all the world is looking for alternative sources of energy to reduce emissions, Sulphur contents and use another fuel source instead of fossil fuels. Diesel engines play an important role in power generation and automotive sectors. The most common alternative fuel used in diesel engines is biodiesel. Biodiesel is suitable for diese...
![Fig. 3 Different combustion pressures of SI engines [8]](profile/Mohamed-Hofny/publication/382852860/figure/fig1/AS:11431281265469352@1722747172503/Different-combustion-pressures-of-SI-engines-8_Q320.jpg)
![Fig. 4 CO emissions with various fuels' H/C to air/fuel ratios [10].](profile/Mohamed-Hofny/publication/382852860/figure/fig2/AS:11431281265469353@1722747172645/CO-emissions-with-various-fuels-H-C-to-air-fuel-ratios-10_Q320.jpg)
![Fig. 7 Particulate composition of diesel engine exhaust [10]](profile/Mohamed-Hofny/publication/382852860/figure/fig3/AS:11431281265469354@1722747172885/Particulate-composition-of-diesel-engine-exhaust-10_Q320.jpg)
![Fig. 8 Neural network architecture [35].](profile/Mohamed-Hofny/publication/382852860/figure/fig4/AS:11431281265469355@1722747173095/Neural-network-architecture-35_Q320.jpg)
Artificial Neural Network has a role in the fields of engineering because it helps in reducing the time and costs of practical experiments. IC drive is one of them. ANN was used to predict and analyze various characteristics such as performance, combustion, and emissions of an IC engine to save time and energy. The complex nature of an ANN may lead...
