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Avram Bar-Cohen

Researcher at University of Maryland, College Park

Publications -  329
Citations -  8970

Avram Bar-Cohen is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Heat transfer & Heat sink. The author has an hindex of 50, co-authored 329 publications receiving 8329 citations. Previous affiliations of Avram Bar-Cohen include Auburn University & DARPA.

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Journal ArticleDOI

Combined Pressure and Subcooling Effects on Pool Boiling From a PPGA Chip Package

TL;DR: In this article, the combined effects of pressure and subcooling on nucleate pool boiling and critical heat flux (CHF) for degassed fluorocarbon FC-72 boiling on a plastic pin-grid-array (PPGA) chip package were investigated.
Journal ArticleDOI

Effects of Temperature Cycling and Elevated Temperature/Humidity on the Thermal Performance of Thermal Interface Materials

TL;DR: In this article, the effect of temperature cycling and elevated temperature/humidity on the thermal performance of filled polymer TIMs using the laser flash method was examined using a three-layer sandwich structure.
Journal ArticleDOI

Confinement effects on nucleate boiling and critical heat flux in buoyancy-driven microchannels

TL;DR: In this paper, vertical, rectangular parallel-plate channels were immersed in dielectric liquid FC-72 at atmospheric pressure to elucidate the effects of geometrical confinement in immersion cooled electronics applications.
Proceedings ArticleDOI

Thermal Management of On-Chip Hot Spot

TL;DR: The physical phenomena underpinning the most promising on-chip thermal management approaches for hot spot remediation, along with basic modeling equations and typical results are described in this article, where attention is devoted to thermoelectric microcoolers.
Journal ArticleDOI

Optimal numerical design of forced convection heat sinks

TL;DR: In this article, the authors describe the development of a computationally efficient computer-aided design (CAD) method, which uses a finite element numerical model (FEM) coupled with empirical correlations, to create an optimum heat sink design, subject to multiple constraints.