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Anil Kr. Tiwari

Researcher at National Institute of Technology, Raipur

Publications -  34
Citations -  856

Anil Kr. Tiwari is an academic researcher from National Institute of Technology, Raipur. The author has contributed to research in topics: Solar still & Lean Six Sigma. The author has an hindex of 10, co-authored 30 publications receiving 600 citations. Previous affiliations of Anil Kr. Tiwari include Indian Institute of Technology Delhi & Indian Institutes of Technology.

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Effect of water depths on heat and mass transfer in a passive solar still: in summer climatic condition

TL;DR: In this article, an attempt has been made to find out the effect of water depth on evaporative mass transfer coefficient for a passive single-slope distillation system in summer climatic condition.
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Thermal modeling based on solar fraction and experimental study of the annual and seasonal performance of a single slope passive solar still: The effect of water depths

TL;DR: In this paper, the authors report on the annual and seasonal performance analysis for different water depths in a single slope passive solar still of cover inclination of 30°, and the experimental set up has been installed at the IIT Delhi, New Delhi, India the latitude of which is 28.35′N.
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Effect of the condensing cover's slope on internal heat and mass transfer in distillation: an indoor simulation

TL;DR: In this article, the authors determined a relation for predicting convective and evaporative heat transfer coefficients for all three condensing surfaces inclined at 15°, 30° and 45° under indoor simulation.
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Annual performance analysis and thermal modelling of passive solar still for different inclinations of condensing cover

TL;DR: In this paper, the authors report the annual and seasonal performance analysis of single-slope passive solar stills having three different inclinations of condensing cover, namely 15, 30 and 45°.
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Evaluating critical failure factors for implementing sustainable lean six sigma framework in manufacturing organization: A case experience

TL;DR: It was found that most dependent and dominant CFFs affect the implementation of the SLSS framework in the case organization and this study guides the systematic solution approach which helps in tackling such problems that occurred in manufacturing organizations.