Current research projects

Image Performance tests of refrigerant compressors
Image In-Situ-Swelling Behaviour of Polymer Materials in Flammable Fluids
Image Cold meter
Image Cryostats, Non-Metallic and Metallic
Image Testzentrum PLWP at ILK Dresden
Image Certifiable connection types in cryogenics
Image Characterisation of Superconductors in Hydrogen Atmosphere
Image Laseroptical measurement
Image Verification of storage suitability of cryo tubes
Image Optimizing HVAC operation with machine learning
Image Solar Cooling
Image Innovative Manufacturing Technologies for Cryosorption Systems
Image Calibration leak for the water bath leak test
Image Refrigerants, lubricants and mixtures
Image Hybrid- Fluid for CO2-Sublimation Cycle
Image Service offer for Leak Detection and Tightness Test

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Practical training, diploma, master, bachelor

Students/ apprentice

on request

Personnel Management

+49-351-4081-546

Student training - Education at ILK

The ILK Dresden offers interested students the editing of themes for diploma thesis, practical courses, master works and batchelors on the variable technical fields inside of ILK. For this aim concrete topics are pretended which can be adapted and concretised if required. The topics without detailed description are as far as possible variably and are explained and adapted on demand.

  • Cryogenics and Low Temperature Physiks
  • Refrigeration & Heat Pumps
  • Ventilation & Air-Conditioning
  • Applied Materials Engineering
  • Applied Energy Engineering

The Association for Promotion of Ventilation & Air-Conditioning e.V. (registered assoc.) awards yearly outstanding student works which were acquired and coached at ILK with a study prize.


Your Request

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