Topic
Thrust specific fuel consumption
About: Thrust specific fuel consumption is a research topic. Over the lifetime, 2495 publications have been published within this topic receiving 37067 citations.
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TL;DR: In this paper, the effect of temperature on the viscosity of biodiesel and jatropha oil was studied and the performance of a single cylinder C.I. engine using blends of varying proportions of Jatropha curcas oil and diesel was evaluated.
954 citations
TL;DR: In this article, the results of investigations carried out in studying the fuel properties of karanja methyl ester (KME) and its blend with diesel from 20% to 80% by volume and in running a diesel engine with these fuels.
Abstract: This paper presents the results of investigations carried out in studying the fuel properties of karanja methyl ester (KME) and its blend with diesel from 20% to 80% by volume and in running a diesel engine with these fuels. Engine tests have been carried out with the aim of obtaining comparative measures of torque, power, specific fuel consumption and emissions such as CO, smoke density and NOx to evaluate and compute the behaviour of the diesel engine running on the above-mentioned fuels. The reduction in exhaust emissions together with increase in torque, brake power, brake thermal efficiency and reduction in brake-specific fuel consumption made the blends of karanja esterified oil (B20 and B40) a suitable alternative fuel for diesel and could help in controlling air pollution.
605 citations
TL;DR: In this article, an extended experimental study is conducted to evaluate and compare the use of various Diesel fuel supplements at blend ratios of 10/90 and 20/80, in a standard, fully instrumented, four stroke, direct injection (DI), Ricardo/Cussons ‘Hydra’ Diesel engine located at the authors' laboratory.
593 citations
TL;DR: In this article, the performance, emission and combustion characteristics of biodiesel derived from non-edible Jatropha oil in a dual fuel diesel engine with base line results of diesel fuel were compared.
488 citations
TL;DR: In this paper, an artificial neural network (ANN) model was used to predict the brake power, torque, specific fuel consumption and exhaust emissions of a two-cylinder four-stroke diesel engine.
465 citations