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D. Vasudevan

Researcher at PSNA College of Engineering and Technology

Publications -  28
Citations -  840

D. Vasudevan is an academic researcher from PSNA College of Engineering and Technology. The author has contributed to research in topics: Diesel fuel & Variable compression ratio. The author has an hindex of 9, co-authored 27 publications receiving 670 citations.

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Performance, emission and combustion characteristics of a variable compression ratio engine using methyl esters of waste cooking oil and diesel blends

TL;DR: In this paper, the suitability of waste cooking oil methyl ester as a biofuel has been established in a single cylinder four stroke variable compression ratio multi fuel engine when fueled with waste cooking oils methyl esters and its 20, 40, 60% and 80% blends with diesel (on a volume basis) are investigated and compared with standard diesel.
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Performance, emission and combustion characteristics of biodiesel fuelled variable compression ratio engine

TL;DR: In this paper, the performance, emission and combustion characteristics of a single cylinder; four stroke variable compression ratio multi fuel engine fuelled with waste cooking oil methyl ester and its blends with standard diesel were investigated.
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Energy and exergy analysis on variable compression ratio multi-fuel engine

TL;DR: In this paper, the theoretical findings of energy and exergy analysis of biodiesel fueled with diesel on variable compression ratio engine at various combinations of fuel blend at different compression ratios were estimated.
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Effect of process parameters on springback behaviour during air bending of electrogalvanised steel sheet

TL;DR: In this paper, the springback behavior of electrogalvanised (EG) steel sheets during the air bending process has been investigated and it has been shown that the 90° orientation exhibits higher springback than 0° orientation.
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Applications of artificial neural networks in prediction of performance, emission and combustion characteristics of variable compression ratio engine fuelled with waste cooking oil biodiesel

TL;DR: In this paper, the performance, emission and combustion characteristics of a single-cylinder, four-stroke variable compression ratio engine with waste cooking oil methyl ester and its blends with the aid of artificial neural network (ANN) were predicted.