CFD Simulation of In-Cylinder Flow on Different Piston Bowl Geometries in a DI Diesel Engine
01 Jan 2016-Journal of Applied Fluid Mechanics (Isfahan University of Technology)-Vol. 9, Iss: 3, pp 1147-1155
About: This article is published in Journal of Applied Fluid Mechanics.The article was published on 2016-01-01 and is currently open access. It has received 19 citations till now. The article focuses on the topics: Piston & Diesel engine.
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TL;DR: In this paper, the authors developed an extended mean value engine model capable of predicting the engine performance parameters (thermodynamic, flow and mechanical) of two-stroke marine engines at varying settings of injection timing and turbine area.
29 citations
TL;DR: In this paper, the MG model and the merged diesel engine model are ameliorated by simplification and asychronization to improve the in-cylinder pressure calculation speed.
28 citations
TL;DR: In this article, the influence of the effects of iron oxide nanoparticle additives when added to ternary fuel (diesel + mahua methyl ester + pentanol) on the emission, combustion, and performance characteristics of a four stroke, single cylinder, common rail direct injection diesel engine working at a constant speed and varying operating scenarios was examined.
Abstract: This paper deals with the study on the influence of the effects of iron oxide nanoparticle additives when added to ternary fuel (diesel + mahua methyl ester + pentanol) on the emission, combustion, and performance characteristics of a four stroke, single cylinder, common rail direct injection diesel engine working at a constant speed and varying operating scenarios. Doping is done in various proportions to the nanoparticle additives with the help of a homogenizer and ultrasonicator where the cationic surfactant used is CTAB (cetyl trimethyl ammonium bromide). Iron oxide nanoparticles were used as additives in fuel in the dosages of 40 ppm, 80 ppm, and 120 ppm respectively and TF (ternary fuel) is obtained by mixing 10% pentanol, 20% mahua, and 70% diesel together is used for the experimental study. The experimental study revealed that while using the nanoparticle additives blended ternary fuel (i.e., TF80), the number of harmful pollutants like smoke (5.38%), HC (6.39%), carbon monoxide (10.24%), and NOx has reduced to a considerable extent and there was a commendable improvement in the BTE by 8.8%. So, we can summarize that when ternary fuel and nano additives are blended together the combustion and performance of the engine was improved considerably and pollutant emissions were decreased.
14 citations
TL;DR: In this article, a simplified model was developed to predict the specific fuel consumption of dual-fuel two-stroke marine engines driving fixed or controllable pitch propellers, based on clear trends approachable by polynomials.
Abstract: Increasing environmental demands, alongside the planned penetration of natural gas as marine fuel, have rendered dual-fuel engines as an attractive prime mover alternative. In this context, knowing the specific fuel consumption is essential to selecting the most efficient engine. The specific fuel consumption can be approached by simulation models with varying levels of complexity that are either implemented by basic programming languages or simulated by dedicated packages. This study aims to develop a simplified model to predict the specific fuel consumption of dual-fuel two-stroke marine engines driving fixed or controllable pitch propellers. The model relies on clear trends approachable by polynomials that were revealed by normalizing specific fuel consumption. This model requires only the value of specific fuel consumption at a nominal maximum continuous rating to predict the engine consumption at any specified rating, including at partial engine load. The outcome of the study shows that the maximum deviations regarding the two simulated engines did not exceed −3.6%. In summary, the proposed model is a fast and effective tool for optimizing the selection of dual-fuel, two-stroke Diesel engines regarding fuel consumption.
13 citations
TL;DR: In this article, the effects of silicon dioxide nanoparticle additives when added to the Mahua methyl ester (MME) blend on CRDI diesel engine are investigated, and the experimental results reveal that the brake thermal efficiency of SiO2 blended MME shows a slight increase, whereas BSFC (Brake specific fuel consumption) shows a decreasing trend compared with other blends previously tested.
Abstract: Biodiesel has been renowned as potential and alternative fuel for years. In order to improve the quality of the conventional fossil fuels, biodiesel, and air pollution from combustion, additives are essential to exploit. In this study, the effects of silicon dioxide nanoparticle additives when added to the Mahua methyl ester (MME) blend on CRDI diesel engine are investigated. The blends used for the experimental study are denoted as given (MME20 + SIO40, MME20 + SIO80, and MME20 + SIO120). The experimental results reveal that the brake thermal efficiency of SiO2 blended MME shows a slight increase, whereas BSFC (Brake specific fuel consumption) shows a decreasing trend compared with other blends previously tested. The smoke emission, HC (unburnt hydrocarbons), and CO (carbon monoxide) reduce when compared with conventional diesel. Out of all the blends, the silicon dioxide blended with MME has a higher value of NOx (nitrogen oxide) emissions. The engine’s overall performance showed a considerable improvement when silicon dioxide was blended with biodiesel, and this blend eventually reduced the toxic emissions from the engine.
12 citations