Presentation + Paper
12 April 2021 Applicable range and performance prediction model for Thales rotary coolers
C. Vasse, G. Raynal, J. Y. Martin, V. Abousleiman, T. Benschop
Author Affiliations +
Abstract
Improvements made on infrared detectors such as pixel pitch reduction, detector resolution increase, and functions directly integrated at sensor level have impact on the required cryogenic cooling power. Next to that the cryogenic operating temperature of the detector is determined by the used detector technology, required bandwidth and performance and may vary between 60K to 170K. That’s why today, it is important that developed cryogenic coolers are able to address a wide range of cold temperature and cryogenic power, and to be able to predict cryocooler performances at sensor engine level in order to select the best product for a specific IR application. Undeniably the cooler size, weight and consumption are important parameters for the system design but next to that coolers shall be flexible, optimized and efficient to avoid very specific definitions or developments for each type of detector. The paper presents the work made at Thales in order to determine performance models for the legacy products in function of the cold temperature, the dewar characteristics and the ambient temperature. These models are based on a performance mapping. The presentation answers questions such as how to choose a cooler, or how to optimize a cooler in function of the system characteristics. Finally, a new cooler with a larger cooling power as todays series of RM coolers is presented in order to extend the range that can be covered by Thales Rotary products.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Vasse, G. Raynal, J. Y. Martin, V. Abousleiman, and T. Benschop "Applicable range and performance prediction model for Thales rotary coolers", Proc. SPIE 11741, Infrared Technology and Applications XLVII, 117410J (12 April 2021); https://doi.org/10.1117/12.2585877
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KEYWORDS
Performance modeling

Sensors

Cryogenics

Infrared sensors

Detector development

Image resolution

Infrared detectors

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