Prediction performance of two stroke semi free piston diesel engine with dual piston system

Muhammad Fathallah, Aguk Zuhdi and Bimatara, Ian and Rosli, Abu Bakar (2021) Prediction performance of two stroke semi free piston diesel engine with dual piston system. In: IOP Conference Series: Earth and Environmental Science, 6th International Conference on Marine Technology (SENTA 2021), 27 November 2021 , Surabaya, Indonesia. pp. 1-10., 972 (012083). ISSN 1755-1315

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The design of the semi-free piston two-stroke diesel engines has been successfully implemented. Before the engine is built, it is necessary to predict its performance. Prediction is done by using the simulation method. This method is considered the most effective because it does not fabricate the machine first. Modelling and simulation are done using application software. Simulation modelling covers all parts of the engine, namely the intake system, block, injection system, and then exhaust system. Engine performance predictions are based on speed variations as well as load variations. Validation is done with a conventional machine. The difference between the two engines lies in friction losses, where the free piston concept is to reduce friction losses. The simulation results are engine performance such as torque, power, bsfc, bmep, and combustion processes such as heat release, pressure, and ignition delay. The difference in the performance of the semi-free piston compared to a conventional engine with the same combustion chamber size. Prediction results state that the difference in performance is very significant.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Intake system; Block; Injection system; Exhaust system
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Faculty of Mechanical and Automotive Engineering Technology
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 11 Nov 2022 03:36
Last Modified: 11 Nov 2022 03:36
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