BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:CANCELED: IGM Colloquium — Investigations of Turbulence: a Journ
 ey from Nanometer to Kilometer
DTSTART:20171212T121500
DTEND:20171212T131500
DTSTAMP:20260919T052635Z
UID:c715a8ca8f37e7438acfdcb1e399507071323c42be3dddbb71135872
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Marcus Hultmark\nOur inability to predict turbulence int
 roduces significant uncertainty in the design of many engineering applicat
 ions. Many theoretical predictions and models have been developed for turb
 ulence in the limit of infinite Reynolds numbers. However\, no real-world 
 application operates at infinite Reynolds number\, and it is typically unk
 nown how large the Reynolds number needs to be in order to expect the theo
 retical predictions to hold. It is also not well understood how low Reynol
 ds numbers affect the flow dynamics and how to best model them. What makes
  turbulent flows particularly challenging—theoretically\, numerically an
 d experimentally—is the large range of spatial and temporal scales conta
 ined within them\, with the smallest eddies typically many orders of magni
 tude smaller than the largest eddies. To enable fully resolved investigati
 ons of high Reynolds number turbulent flows\, a range of novel subminiatur
 e sensors have been developed. To ensure accurate representation of the fl
 ow field\, the thermal and mechanical properties of the sensors and sensor
  systems are characterized in detail. This knowledge acts as a guide for f
 urther sensor improvements. In combination with extreme facilities\, these
  sensors allow unique insights into flows that previously have not been po
 ssible. A model wind turbine setup has been developed that allows—for th
 e first time—well-controlled laboratory tests at dynamic similarity to a
  full-scale machine. The effect of Reynolds number on the performance of b
 oth vertical and horizontal axis wind turbines is characterized and compar
 ed to field measurements. \nBio: Marcus Hultmark is an assistant Professo
 r in the Department of Mechanical and Aerospace Engineering at Princeton U
 niversity.  His research interests include a variety of problems related 
 to fluid mechanics\, with focus on problems involving turbulence\, such as
  heat and mass transfer as well as drag reduction and wind energy. Theoret
 ical work is combined with experimental studies\, and an important part of
  his research program is the development and evaluation of new sensing tec
 hniques to investigate these phenomena with high accuracy\, including velo
 city\, temperature and humidity sensors. He was awarded the 2016 Air Force
  Young Investigator award\, the 2017 NSF Career award and the 2017 Nobuhid
 e Kasagi Award. He received his M.Sc. degree from Chalmers University in S
 weden and his Ph.D. from Princeton University.
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR