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Mihir Kumar Das

Researcher at Indian Institute of Technology Bhubaneswar

Publications -  38
Citations -  656

Mihir Kumar Das is an academic researcher from Indian Institute of Technology Bhubaneswar. The author has contributed to research in topics: Heat transfer coefficient & Boiling. The author has an hindex of 10, co-authored 25 publications receiving 445 citations. Previous affiliations of Mihir Kumar Das include Motilal Nehru National Institute of Technology Allahabad.

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Application of TCE-PCM based heat sinks for cooling of electronic components: A review

TL;DR: In this paper, thermal conductivity enhancer (TCE) is used to improve the thermal performance of phase change material (PCM) based heat sinks in cooling of electronic components.
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A critical review on bubble dynamics parameters influencing boiling heat transfer

TL;DR: In this article, a comprehensive review is carried out to compile various correlations proposed for determination of bubble dynamics parameters for boiling of liquids over a heated surface is a complex process due to non-linear growth of bubbles.
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Numerical study of phase change material based orthotropic heat sink for thermal management of electronics components

TL;DR: In this article, the authors investigated the benefits of orthotropic composite fins as the thermal conductivity enhancer in the design of phase change material (PCM) based heat sink and found that orthotropic fins of less volume can replace the isotropic fins of more volume.
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A review on saturated boiling of liquids on tube bundles

TL;DR: In this article, a review of recent investigation on boiling of saturated liquids over plain and enhanced tube bundles has been carried out taking the earlier review works as reference point, and experimental observations of various geometry and performance parameters studied by researchers are analyzed keeping current demand of industries in design and development of compact, efficient heat exchanging devices.
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Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water

TL;DR: A modeling technique based on fuzzy system is used to predict the heat transfer coefficient in pool boiling of distilled water and the representation accuracies of the pool boilingHeat transfer coefficient for fuzzy model is very high as indicated from the performance index.