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K. Anand

Researcher at Indian Institute of Technology Madras

Publications -  25
Citations -  1107

K. Anand is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Diesel fuel & Biodiesel. The author has an hindex of 15, co-authored 25 publications receiving 863 citations. Previous affiliations of K. Anand include University of Wisconsin-Madison & Indian Institutes of Technology.

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Experimental investigations on combustion, performance and emissions characteristics of neat karanji biodiesel and its methanol blend in a diesel engine

TL;DR: In this paper, a turbocharged, direct injection, multi-cylinder truck diesel engine fitted with a mechanical distributor type fuel injection pump using biodiesel-methanol blend and neat karanji oil derived biodiesel under constant speed and varying load conditions without altering injection timings.
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Surrogate Model Development for Fuels for Advanced Combustion Engines

TL;DR: In this article, the authors proposed surrogate models for the nine fuels for advanced combustion engines (FACE) that have been developed for studying low-emission, high-efficiency advanced diesel engine concepts.
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Estimation of a Lower Heating Value of Vegetable Oil and Biodiesel Fuel

TL;DR: In this article, a convenient method of estimating the heating values of straight and processed vegetable oils based on the bond energies of their fatty acid/methyl ester constituents is proposed, and the accuracy of estimations when compared with the available experimental data is observed to be within 3%.
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Biodiesel NOx penalty and control measures - a review

TL;DR: In this paper, the effect of biodiesel fuel composition and properties on NOx emissions emanating from biodiesel fueled engines and describes fuel modifications and engine tuning measures for their mitigation, and the best possible ways for achieving biodiesel-NOx neutrality are outlined.
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A comprehensive approach for estimating thermo-physical properties of biodiesel fuels

TL;DR: In this article, a comprehensive methodology for estimating the properties of biodiesel fuels based on their composition and chemical structure is proposed, which is used for compression ignition engine performance and emission analysis.