February 20, 2010

Experimental Investigation into Honeycomb Heat Sinks Incorporating Varying Size Slots for Enhanced Heat Transfer

  • Hernon D.

In this experimental investigation novel honeycomb heat sink designs that incorporate slots of varying length are presented. Thermal and hydrodynamic performance comparisons are made for a longitudinally-finned heat sink, a wavy wall heat sink of the same geometric dimensions, a closed channel honeycomb heat sink and a number of honeycomb heat sinks with different length (3mm, 6mm and 13mm) of vertically orientated slot. The heat sinks are manufactured using an investment casting process which provides a means of fabricating complex designs as one monolithic structure with high thermal conductivity that would not otherwise be possible using traditional techniques. It is demonstrated that enhanced heat transfer was achieved with the introduction of vertically oriented slots into the closed channel honeycomb structure. It is found that there is an optimum slot length per unit length of the heat sink and in the current experimental range the best performance was observed with 6mm length slots.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...