scholarly journals Performa pada Motor Bakar 6-Langkah dengan Langkah Power Ekspansi sampai Titik Mati Bawah

2021 ◽  
Vol 12 (2) ◽  
pp. 411-419
Author(s):  
Riswan Sepriyatno ◽  
◽  
Eko Siswanto ◽  
Nurkholis Hamidi

This study aims are to observe the performance of a six-stroke combustion motor and to analyze the thermodynamics of a six-stroke combustion engine with a power expansion step to the bottom dead center. The fuel used in this observation is pertalite with a RON 90 value. The method used is a true experimental method, with independent variables, namely 35%, 40%, 45%, and 50% throttle openings with loading on the prony disc brake of 10 kg, 20kg, 30kg, 40kg, and 50kg. In the torque data, each throttle opening shows the highest number of 7.26 (Nm) with a load of 50kg and the lowest value of 2.01 (Nm) with a load of 10kg, for effective power the highest value is 8.47 (kW) at 50% throttle opening with load is 40kg and the lowest value is 2.49 (kW) at 35% throttle opening with a load of 10kg, while for the specific fuel consumption (SFC) the highest value is 4.28 (kg/Hp.h) at 40% throttle opening with a load of 10kg and the lowest value is 0.77 (kg/Hp.h) at 50% throttle openings with a load of 50kg, and for the thermal efficiency of the six-stroke motor, which means an average increase of 14.58% compared to the thermal efficiency of the conventional 4-stroke internal combustion engine.

2020 ◽  
Vol 17 ◽  
pp. 00078
Author(s):  
Dmitry Maryin ◽  
Andrei Glushchenko ◽  
Anton Khokhlov ◽  
Evgeny Proshkin ◽  
Rail Mustyakimov

To improve the power and fuel and economic performance of a gasoline internal combustion engine, it has been proposed to improve the insulating properties of the piston by forming a heat-insulating coating on the working surfaces of the piston head with a thickness of 25...30 μm using the microarc oxidation method. Comparative results of engine tests are carried out, which showed that an engine equipped with pistons with a heat-insulating coating on the working surfaces of the head increases power by 5.3 % and reduces hourly fuel consumption by 5.7 % compared to an engine equipped with standard pistons.


2013 ◽  
Vol 315 ◽  
pp. 423-427
Author(s):  
Halim Razali ◽  
Kamaruzzaman Sopian ◽  
Ali Sohif Mat

Estimation of the life cycle cost (LCC) for a hydrogen internal combustion engine (H2ICE) that uses hydrogen as an alternative fuel by forecasting a financial investment plan for a period of five years (n = 5). This is influenced by the interest rate of 10% (i = 10). The effect of Annual Operating Cost and salvage value in the LCC for H2ICE would give impact on the cost of investment and economic growth in the long term. The result shows the brake specific fuel consumption to achieve 14% savings for grams per kilowatt hour for the engine (G + H2) compared to the engine (G). The operation of H2ICE in the first year would be increased by 22%, the reason is due to the cost of equipment, maintenance and purchase of new components. However, the percentage of operation cost for the following five to ten year of Present worth (PW) is reduced to 0.36% in the fourth year (n = 4) within the interest rate of 10%. The return of initial investment in the capital-first cost (FC) is to occur at the beginning of the fifth year (n = 5) of H2ICE operations. The cost of savings for the next five years would become more profitable reaching 37% reduction in cost compared to conventional fuel consumption


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8151
Author(s):  
Andyn Omanovic ◽  
Norbert Zsiga ◽  
Patrik Soltic ◽  
Christopher Onder

The electric hybridization of vehicles with an internal combustion engine is an effective measure to reduce CO2 emissions. However, the identification of the dimension and the sufficient complexity of the powertrain parts such as the engine, electric machine, and battery is not trivial. This paper investigates the influence of the technological advancement of an internal combustion engine and the sizing of all propulsion components on the optimal degree of hybridization and the corresponding fuel consumption reduction. Thus, a turbocharged and a naturally aspirated engine are both modeled with the additional option of either a fixed camshaft or a fully variable valve train. All models are based on data obtained from measurements on engine test benches. We apply dynamic programming to find the globally optimal operating strategy for the driving cycle chosen. Depending on the engine type, a reduction in fuel consumption by up to 32% is achieved with a degree of hybridization of 45%. Depending on the degree of hybridization, a fully variable valve train reduces the fuel consumption additionally by up to 9% and advances the optimal degree of hybridization to 50%. Furthermore, a sufficiently high degree of hybridization renders the gearbox obsolete, which permits simpler vehicle concepts to be derived. A degree of hybridization of 65% is found to be fuel optimal for a vehicle with a fixed transmission ratio. Its fuel economy diverges less than 4% from the optimal fuel economy of a hybrid electric vehicle equipped with a gearbox.


2021 ◽  
Vol 12 (1) ◽  
pp. 98
Author(s):  
Andrej Chríbik ◽  
Marián Polóni ◽  
Ľuboš Magdolen ◽  
Matej Minárik

The aim of the presented article is to analyse the influence of synthesis gas composition on the power, economic, and internal parameters of an atmospheric two-cylinder spark-ignition internal combustion engine (displacement of 686 cm3) designed for a micro-cogeneration unit. Synthesis gases produced mainly from waste contain combustible components as their basic material (methane, hydrogen, and carbon monoxide), as well as inert gases (carbon dioxide and nitrogen). A total of twelve synthesis gases were analysed that fall into the category of medium-energy gases with lower heating value in the range from 8 to 12 MJ/kg. All of the resulting parameters from the operation of the combustion engine powered by synthesis gases were compared with the reference fuel methane. The results show a decrease in the performance parameters for all operating loads and an increase in hourly fuel consumption. Specifically, for the operating speed of the micro-cogeneration unit (1500 L/min), the decrease in power parameters was in the range of 7.1–23.5%; however, the increase in hourly fuel consumption was higher by 270% to 420%. The decrease in effective efficiency ranged from 0.4 to 4.6%, which in percentage terms represented a decrease from 1.3% to 14.5%. The process of fuel combustion was most strongly influenced by the proportion of hydrogen and inert gases in the mixture. It can be concluded that setting up the synthesis gas production in the waste gasification process in order to achieve optimum performance and economic parameters of the combustion engine for a micro cogeneration unit has an influential role and is of crucial importance.


2019 ◽  
Vol 11 (11) ◽  
pp. 168781401988625 ◽  
Author(s):  
Lijun Hao ◽  
Chunjie Wang ◽  
Hang Yin ◽  
Chunxiao Hao ◽  
Haohao Wang ◽  
...  

In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel economy model for a light-duty vehicle adopting backward simulation method was developed, and it mainly consists of vehicle dynamic model, internal combustion engine model, transmission model, and differential model. The internal combustion engine model consists of the brake-specific fuel consumption maps as functions of engine torque and engine speed, and the brake-specific fuel consumption map near sea level was constructed based on engine experimental data, and the brake-specific fuel consumption maps at high altitudes were calculated by GT-Power Modeling of the internal combustion engine. The fuel consumption rate was calculated from the brake-specific fuel consumption maps and brake power and used to calculate the fuel economy of the light-duty vehicle. The model predicted fuel consumption data met well with the test results, and the model prediction errors are within 5%.


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