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T. A Fauzi Soelaiman
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SIMULASI PROSES PEMBAKARAN PADA MOTOR BAKAR TORAK DUA LANGKAH T. A Fauzi Soelaiman; Rachmat K Bachrun; Arthur M Mangaranap; Andry Arifin
Mesin Vol. 13 No. 1 (1998)
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The combustion process in an intemal combustion engine must be known in detail to find out the dependence of its operating conditions on the engines performance. This paper discusses a computer program that simulates the combustion processes of a two-stroke engine. The simulation includes modelling the heat transfers from the cylinder and crankcase, modelling the heat releases for gasoline and diesel engines, modelling the gas properties, modelling the energy balance, and modelling the flow coefficients through the ports. The performance of the two-stroke engine can be obtained from the simulation. As a case study, a two stroke MK1 engine was simulated and the simulation results the maximum indicated power is 18.3 hp at 5500 rpm and the maximum indicated mean effective pressure (IMEP) is 4.2 bar at 5000 rpm.
RETROFIT AND CONVERSION OF R-22 CHILLER TO R-290 AND ITS PERFORMANCE COMPARISON Aryadi Suwono; N. P Tandian; A. D Pasek; T Hardianto; T. A Fauzi Soelaiman
Mesin Vol. 14 No. 1 (1999)
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The retrofit and conversion of a R22 chiller to R290 was done on an AC chiller Carrier Type 30-GB-070-910. The retrofit of chiller was mainly the implementation of safety features and conversion to HC refrigerant. A series of measurements to evaluate its performance has been carried out on the same chiller for both eases i.e. before and after conversion, while it was in use. The resulting data analysis revealed that the chiller performed better with HC refrigerant compare to its previous condition. Retrofitting procedure, refrigerant conversion, test procedure and data analyses are discussed in this paper.
Indonesian Experiences in Retrofitting of Some Milk Cooler Systems Ari D. Pasek; N. P Tandian; A Suwono; T Hardianto; T. A Fauzi Soelaiman
Mesin Vol. 14 No. 2 (1999)
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To overcome the ozone layer depletion problem, the Indonesian government has ratified the Montreal protocol and its amendments. The import of R-12 refrigerant to Indonesia has been banned since the end of 1997. Meanwhile, most of Indonesian milk cooling units use R-12. Therefore, it is expected that these cooling units have to be switched to other refrigerant soon. Almost all of Indonesian milk cooling units belong to small or medium dairy cooperatives that cannot aflord to retrofit their systems to R-134a. In this research, a milk-cooling unit designed for R-12 was directly switched to propane/butane refrigerants (propane-isobutane, and propane/n-butane refrigerants) without any modification. The performances of the milk-cooling unit operated with propane/isobutane, propane/n-butane and R-12 gefiigerants were investigated. It was found that propane/n~bntane refligerant is the most eflicient, and followed by propane/isobutane and R-12. Results of several other milk cooling units were also reported.
PEMODELAN DAN SIMULASI SALURAN MOTOR BAKAR TORAK DUA LANGKAH DENGAN ALIRAN GAS TAK TUNAK T. A Fauzi Soelaiman; Rachmat K Bachrun; Arthur M Mangaranap
Mesin Vol. 16 No. 1 (2001)
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A two-stroke engine is one of the commonly used energy conversion systems for transportation.The process inside the cylinder and the transport passages can be simulated with mathematical models with certain assumptions. In modeling and simulating a two-stroke engine, the flows in the passages are modeled as unsteady gas flows. The unsteady gas flows are important in a twostroke engine since they affect the intake and exhaust processes of the working fluid. The results of the simulation can be used for analyzing or tuning the intake and exhaust passages of a two-stroke engine. As an example, the program was applied for a two-stroke engine MK1.
ANALISIS RESIKO REAKTOR KIMIA BERDASARKAN STANDAR INSPEKSI BERBASIS RESIKO (RISK BASED INSPECTION: RBI) API 581 T. A Fauzi Soelaiman; Ahmad Taufik; Tito Arya Soma
Mesin Vol. 19 No. 2 (2004)
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Inspection is an activity to detect and evaluate the possibility of damage or degradation of operating equipment. Risk Based Inspection (RBI) Method is one of management inspection methods based on risk level of an equipment or a work unit. The RBI Method uses a combination of two parameters (category of failure possibility and category of failure consequence) for determining the level of risk for industrial equipment. The method was applied to several chemical reactors in a petrochemical industry such as Hydrotreater, Secondary Reformer, Shift Converter, Ammonia Synthesis Converter, Methanator, Zinc Oxide Guard, and Mercury Guard Chamber. Using qualitative RBI method, the risks of the equipment are as follow: Hydrotreater (Low Risk), Secondary Reformer (Low Risk), Shift Converter (Low Risk), Ammonia Synthesis Converter (Low Risk), Methanator (Low Risk), Zinc Oxide Guard (Low Risk), and Mercury Guard Chamber (Low Risk). Meanwhile, using semi-quantitative RBI method, the risks were found to be: Hydrotreater (High Risk), Secondary Reformer (High Risk), Shift Converter (High Risk), Ammonia Synthesis Converter (High Risk), Methanator (High Risk), Zinc Oxide Guard (High Risk), Mercury Guard Chamber (High Risk).
ANALISIS SISTEM TATA UDARA DI DALAM KABIN KENDARAAN MINIBUS DENGAN MENGGUNAKAN PERANGKAT LUNAK COMPUTATIONAL FLUID DYNAMICS T. A Fauzi Soelaiman; Andini Aritonang
Mesin Vol. 20 No. 1 (2005)
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The aim of this research is to establish an analysis of an air conditioning system in a minibus vehicle cabin through some series of numerical simulations using a Computational Fluid Dynamics software. Two three-dimensional models of the vehicle were used in the simulations. The first model is a minibus without any passenger, and the second model is a minibus with seven passengers. In this research, the passenger model was considered as another cooling load source, therefore an analysis of the cooling effect experienced by passenger was not performed. A calculation of cooling load was also done to determine the maximum cooling load, using the weather data of Jakarta city throughout the year 2002. An experiment was done using an actual vehicle to validate the model. The maximum error of temperature reading between experiment and simulation was calculated and gave an acceptable maximum error of 10%. The simulation in this step was performed using the first model and steady calculation. A series of simulations were also done to analyze the air conditioning system performance under maximum cooling load. These simulations were done by varying the mass flow rates of the air entering the cabin, using the second model and transient calculations. The temperature and velocity contours acquired from these simulations were able to give good understanding of correlations between the factors influencing the air condition in the cabin.