H
Himanshu M. Joshi
Researcher at Pennsylvania State University
Publications - 5
Citations - 333
Himanshu M. Joshi is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Heat transfer & Fin (extended surface). The author has an hindex of 4, co-authored 5 publications receiving 309 citations.
Papers
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Journal ArticleDOI
Heat transfer and friction in the offset stripfin heat exchanger
Himanshu M. Joshi,Ralph L. Webb +1 more
TL;DR: In this article, an analytical model was developed to predict the heat transfer coefficient and friction factor of offset strip-fin heat exchanger surface geometry. But the model was not applied to the LAMINAR and TURBORN flow regimes.
Journal ArticleDOI
Transient effects in natural convection cooling of vertical parallel plates
TL;DR: In this article, the authors present results from a numerical study of transient natural convection between vertical parallel plates, where two boundary conditions (uniform wall temperature and uniform heat flux) are considered.
Journal ArticleDOI
Fully developed natural convection in an isothermal vertical annular duct
TL;DR: In this paper, the gevernine equation for fully developed laminar natural convection in a vertical annulus has been analytically solved for the isothermal wall boundary conditions, and the resulting flow rates and Nusselt numbers are a function of a annulus gap and a non-dimensional temperature ration.
A friction factor correlation for the offset strip-fin matrix
Ralph L. Webb,Himanshu M. Joshi +1 more
TL;DR: In this article, offset strip fin surface geometry used in parallel plate fin compact heat exchangers is used to obtain friction data on scaled-up matrix geometries that had precisely known dimensions, and no burred fin-edges.
Proceedings ArticleDOI
A friction factor correlation for the offset strip-fin matrix
Ralph L. Webb,Himanshu M. Joshi +1 more
TL;DR: In this article, offset strip fin surface geometry used in parallel plate fin compact heat exchangers is used to obtain friction data on scaled-up matrix geometries that had precisely known dimensions, and no burred fin-edges.