Experimental Study of Premixed-Charge Compression Ignition Mode in Low Load Fueled With Butanol Isomers and Diesel Binary Fuels in a Common-Rail Diesel Engine
01 Sep 2020-Journal of Energy Resources Technology-transactions of The Asme (American Society of Mechanical Engineers Digital Collection)-Vol. 142, Iss: 9
TL;DR: In this paper, low NOx and particulate matter (PM) emissions are simultaneously attempted to implement via an experimental study on diesel/butanol isomers binary fuels in premixed-charge compression ignition (PCCI) mode.
Abstract:
Low NOx and particulate matter (PM) emissions are simultaneously attempted to implement via an experimental study on diesel/butanol isomers binary fuels in premixed-charge compression ignition (PCCI) mode. N-butanol, iso-butanol, sec-butanol, and tert-butanol were blended with diesel in a certain volume ratio of 0.24:0.76, denoted as N24, I24, S24, and T24, respectively. The indicated thermal efficiency (ITE) of binary fuels in PCCI mode decreases slightly than that in direction injection (DI) mode. T24 obtains higher ITE than the other three test fuels with 50% exhaust gas recirculation (EGR). NOx formation is certainly inhibited more than 60% in PCCI mode, especially when the EGR rate is 50%. PCCI mode produces more CO, HC, and carbonyl emissions than DI mode to varying degrees; under these circumstances, T24 tends to have the lowest emissions among four test fuels, reflecting the potential of tert-butanol as a diesel alternative fuel. Butanol isomers have a vital contribution on particulate matter emissions inhibition for both PM total number and total mass. Tert-butanol tends to form accumulation mode particle, and n-butanol tends to form nucleation mode mainly caused by molecular structure diversity of isomers. The geometric mean diameter of diesel/butanol isomers increases in PCCI mode compared with that in DI mode.
Citations
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TL;DR: In this article, a 20% blend of lemon peel oil with diesel (B20) according to central composite design (CCD) by varying pilot mass (PM), pilot injection timing (PIT), injection pressure, and engine speed (ES).
Abstract:
Lemon peel oil (LPO) is a promising alternative biofuel for diesel engine applications due to its favorable physical and chemical properties. This study deals with combustion, vibration, and noise measurement for diesel engine powered with biofuel blend in the perspective of passenger comfort at engine idle condition. Experimentation is performed using a 20% blend of lemon peel oil with diesel (B20) according to central composite design (CCD) by varying pilot mass (PM), pilot injection timing (PIT), injection pressure, and engine speed (ES). Vibrations at engine crankcase, cylinder head were measured with a triaxial accelerometer along with noise measurement. The output responses for diesel and B20 were compared based on the output from response surface methodology (RSM). The study observed that predominant vibrations at the crankcase level along the lateral direction of the engine influenced by fuel injection pressure (FIP) and engine speed for both test fuels. Engine head vibrations were maximum along with the reciprocating motion of piston for both test fuels and found 7.43% more in case diesel. Engine noise is comparable from both test conditions irrespective of different influencing parameters. An increment of 1.662 J/deg in the heat release rate (HRR) of B20 is observed attributed to a longer ignition delay of B20 fuel. This study concludes that the lemon peel oil blend is compatible to use as an alternate biofuel in a diesel engine with suitable damping techniques for better passenger comfort.
18 citations
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TL;DR: In this paper, a methodology for stratified charge preparation via a multi-injection strategy of low-reactive fuel was introduced on the theory of intelligent charge compression ignition (ICCI).
12 citations
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TL;DR: In this article, an unsteady analysis of counterflow flame is carried out for different flame conditions and stability parameters considering different strain rate values, and the impact of time-dependent regimes and variations in equivalence ratio, from lean flame to rich one, are analyzed.
Abstract:
In the current work, an unsteady analysis of methane/air premixed counterflow flame is carried out for different flame conditions and stability parameters considering different strain rate values. The results are presented at unsteady and final steady conditions, and the impact of time-dependent regimes and variations in equivalence ratio, from lean flame to rich one, are analyzed. The governing equations including continuity, momentum, energy, and species are numerically solved with a coupled simple and Piso algorithm. It is also found that when the strain rate value is 1000 s−1, for flame stability, the hydraulic distance of the microchannel must be at least 0.05 mm. Increasing the strain rate results in decreasing the time of stabilizing temperature distribution with a faster quasi-steady equilibrium. The necessity of time-dependent analysis is to comprehend the variations in the main factors of flame structure before reaching the finalized steady-state condition. Therefore, by designing an intermittent automatic valve, if the flow stops in time period of 0.0025 s and starts again, the formation of NO2 and CO2 will be reduced about 50% and 9%, respectively, in a case with a = 100 s−1.
4 citations
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06 May 2021TL;DR: In this paper, a simulation analysis and optimization of the thermal performance of the crank and connecting rod mechanism of a small diesel engine with artificial intelligence is studied. And the experimental results proved the efficiency of the proposed framework.
Abstract: Simulation analysis and optimization of thermal performance of crank and connecting rod mechanism of small diesel engine with artificial intelligence is studied in this paper. Artificial neural network is responsible for knowledge acquisition and empirical thinking., artificial intelligence is responsible for logical thinking, and knowledge base is also responsible for the function of knowledge memory, and their joint work can improve the accuracy of the model. The excellent performance parameters can be then converted to breaking design machine by general computer programming, hence, the modeling is applied into the design. The experiment on the proposed framework proves the efficiency.
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TL;DR: In this paper , the influence of adding water to a Reactivity Controlled Compression Ignition (RCCI) engine has been numerically investigated, and the results show that substituting a portion of gasoline fuel with water, up to 10% mass fraction, raises the combustion chamber pressure.
Abstract: For decreasing the fuel consumption of internal combustion engines, and also reducing the emissions, investigation of the effective parameters on power, emissions, and the combustion phasing is important. In this study, the influence of adding water to a Reactivity Controlled Compression Ignition (RCCI) engine has been numerically investigated. For this purpose, water with different mass fractions was added to the air-fuel mixture. In order to simulate the engine, AVL Fire software was used. The results show that substituting a portion of gasoline fuel with water, up to 10% mass fraction, raises the combustion chamber pressure. In this condition, the production of hydroxyl free radicals, as one of the characteristics for the start of combustion, occurs earlier. Furthermore, Indicated Mean Effective Pressure (IMEP) remains unchanged. By further increasing the water mass the production of hydroxyl radical decreases, and the high-temperature heat release is delayed; also comparing to when water was not added, average
References
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537 citations