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Effect of an Electromagnetic Fuel-Saving Device on Motorcycles Using Blended fuel of Pertalite-bioethanol Todaro, Muhammad; Nufus, Tatun Hayatun; Susanto, Iwan; Siregar, Rolan
Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mechatronics) Vol 9, No 2 (2024): Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mecha
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jtmm.v9i2.5783

Abstract

The increasing demand for fuel efficiency and environmental sustainability has led to the exploration of alternative fuel blends and innovative fuel-saving technologies. This study investigates the effect of an electromagnetic fuel-saving device on the performance of a motorcycle using a Pertalite-Bioethanol fuel blend at different compositions (P100, P90, P80, and P70). The engine's performance was evaluated based on Maximum Torque, Brake Horse Power (BHP), and Specific Fuel Consumption (SFC) using a chassis dynamometer test. The results show that the use of the electromagnetic fuel-saving device significantly improves motorcycle performance. The highest torque was recorded at P80, reaching 13.52 Nm with the device, compared to 12.7 Nm without the device. Similarly, BHP at P80 increased from 7.45 HP (without device) to 9.89 HP (with device), indicating enhanced combustion efficiency. Additionally, SFC was lower when using the device, with the lowest fuel consumption observed at P80 (0.025 kg/HP·h with the device), compared to 0.029 kg/HP·h without it. These findings suggest that a 20% bioethanol blend (P80) provides an optimal balance of power, torque, and fuel efficiency, particularly when combined with electromagnetic fuel treatment. However, at higher bioethanol concentrations (P70), performance slightly declined, likely due to the lower energy content of ethanol compared to gasoline. The improvement in efficiency with the electromagnetic device is attributed to the enhanced dispersion of hydrocarbon molecules, leading to better combustion. The electromagnetic fuel-saving device effectively enhances engine performance and fuel efficiency, particularly when paired with a 20% bioethanol blend. This study provides valuable insights into the potential of alternative fuel treatments in improving combustion efficiency and sustainability. Future research could focus on long-term durability, emissions analysis, and further optimization of bioethanol fuel blends for improved engine performance.Keywords: Electromagnetic fuel-saving device, Pertalite-Bioethanol blend, Motorcycle performance, Fuel efficiency.
Comprehensive Review of Fast Charging Technology and DC-DC Converters in Electric Vehicle Development: Challenges and Future Directions Noval, Rahmat; Zainuri, Fuad; Tullah, M. Hidayat; Todaro, Muhammad; Ramdhan, Fuzi Rachmat
Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mechatronics) Vol 9, No 2 (2024): Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mecha
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jtmm.v9i2.5782

Abstract

Electric vehicles (EVs) are at the forefront of global initiatives to reduce greenhouse gas emissions and tackle urgent environmental challenges. This study presents a comprehensive review of fast charging technologies and DC-DC converters, which are crucial in the development of EV infrastructure. It explores various DC-DC converter topologies used in EVs and examines the challenges associated with fast charging infrastructure. Additionally, the study analyzes the application of artificial neural networks (ANNs) for predicting junction temperatures of electronic components in EVs. The findings indicate that ANNs enhance the accuracy of temperature predictions, contributing to performance optimization and extended component lifespan. Furthermore, the study underscores the significance of energy management technologies, particularly the integration of hybrid energy storage systems (HESS) that combine batteries and supercapacitors. The study’s implications include recommendations for advancing fast charging technology, improving thermal management, and educating drivers to enhance EV energy efficiency. Despite existing challenges, technological advancements in these areas hold great promise for accelerating EV adoption and supporting global decarbonization efforts.Keywords: Electric Vehicle (EV), Artificial Neural Network (ANN) Model, Thermal Management, Hybrid Energy Storage System (HESS), Energy Management.