Current research projects

Image State of system and failure analyses
Image All-in-one device for freeze-drying and production of biomaterial
Image Helium extraction from natural gas
Image Test rigs for refrigeration and heat pump technology
Image Electrochemical decontamination of electrically conducting surfaces „EDeKo II“
Image Humidifier System for High-Purity Gases
Image Lifetime prediction of hermetic compressor systems
Image Industry 4.0 membrane heat and mass exchanger (i-MWÜ4.0)
Image Micro fluidic expansion valve
Image Testing of mobile leak detectors according to DIN EN 14624
Image Reducing the filling quantity
Image Behavior of multiphase cryogenic fluids
Image Combined building and system simulation
Image Investigation of material-dependent parameters
Image Measurement of insulated packaging
Image Non- invasive flow measurements

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16th Cryogenics successful completed, with 60 participants worldwide online

Download the papers of the ILK Dresden contributions!

The 16th Cryogenics from October 5-7, 2021 took place only online for the first time and was able to attract 60 participants from the USA, China, Russia, India, Sweden, France, UK, Netherlands, Poland, Ukraine, Romania, Switzerland, the Czech Republic and Germany. These were the subjects:

  • Cryogenics in Particle Physics
  • Superconductivity and Magnets
  • Cryocoolers
  • Space Cryogenics
  • Cryostats and Thermal Insulation
  • Liquid Natural Gas
  • Cryobiology - Cryopreservation
  • Freeze drying and cryotherapy

The ILK Dresden was with presentations and two posters present

The ILK Dresden invites you kindly to the next 17th Cryogenics from the 24th to 28th of April 2023 in Dresden

SAFE THE DATE!


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Further Projects

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Measurement of insulated packaging

How efficient is my cool box?

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Hybrid- Fluid for CO2-Sublimation Cycle

Cryogenic cooling by CO2 sublimation

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Energy efficiency consulting - cogeneration systems

How efficient is my refrigeration system?

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Cold meter

The fast way to refrigerating capacity

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Optimizing HVAC operation with machine learning

Intelligent control of HVAC systems – high comfort with low energy demand