AN INVESTIGATION OF THE DYNAMICS OF THE FLOW DOWNSTREAM OF WALL MOUNTED VORTEX GENERATORS

  • Boyle F.
  • Hernon D.
  • Mcgarry L.
  • Nolan K.

Vortex generators (VGs) have been studied extensively in the literature for a variety of fluid mechanics applications. These range from heat transfer enhancements [1,2,3] to separation control [4,5] and drag reduction [6]. Additionally VGs are interesting from a fundamental perspective due to their modification of the boundary layer. Luchini [7] among others have shown that a streamwise aliened vortex pair is the optimum disturbance in a laminar boundary layer to maximise growth rates of Klebanoff modes. This motivates the use of the delta winglets to perturb laminar boundary layer in the current work.

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 ...