Prediction of MTTF of Rotary Microcryogenic Gas Machines (Microcryocoolers) based on the Weibull Distribution Law

In this paper, we analyze the methods for predicting the MTTF of microcryocoolers of various manufacturers based on the Weibull law. The values of the shape and scale parameters of the Weibull distribution law for rotary microcryocoolers of various foreign manufacturers and a method for calculating the shape and scale parameters of this law are applied to the data obtained from experimental studies of microcryocooler samples. The limiting values of the shape variable were estimated and the methods for calculating the scale parameter needed to predict the MTTF of the microcryocooler both at the stage of improving existing models and at the stage of designing newly developed samples are presented. It seems that the approach to predicting the MTTF of the microcryocooler described in the work will allow us to determine the parameters of the Weibull distribution function for specific values set by the customer of the MTTF of the created microcryocooler sample, which in turn will allow the selection of machine components (assemblies and details) also for a specific values of MTTF

Литература

[1] Samvelov A.V., Yasev S.G., Moskalenko A.S., et al. Integral microcryogenic stirling systems as a part of cryostatting photoreceiving modules based on long IR region matrix. Fotonika [Photonics], 2019, no. 1, pp. 58--64 (in Russ.).

[2] Cauquil J.M., Seguineau C., Vasse C., et al. Lifetime validation of high-reliability (> 30 000 hr) rotary cryocoolers for specific customer profiles. Proc. SPIE, 2018, vol. 10626. DOI: https://doi.org/10.1117/12.2309792

[3] Filis A., Bar Haim Z. Microminiature stirling cryocooler for compact, lightweight and low power thermal imaging systems. Proc. SPIE, 2009, vol. 7298. DOI: https://doi.org/10.1117/12.818427

[4] Kuo D.T., Loc A.S., Lody T.D., et al. Cryocooler life estimation and it’s correlation with experimental data. Adv. Cryog. Eng., 1999, vol. 45, pp. 267--273.

[5] Seguineau C., Cauquil J.M., Martin J.Y., et al. Validation of accelerated ageing of Thales rotary Stirling cryocoolers for the estimation of MTTF. Proc. SPIE, 2016, vol. 9821. DOI: https://doi.org/10.1117/12.2241208

[6] Filis A., Pundak N., Barak M., et al. Ricor’s K508N highly reliable integral rotary cryogenic cooler. Proc. SPIE, 2010, vol. 8012. DOI: https://doi.org/10.1117/12.884218

[7] Van de Groep W., Van der Weijden H., Van Leeuwen R., et al. Update on MTTF figures for linear and rotary coolers of Thales Cryogenics. Proc. SPIE, 2012, vol. 8353. DOI: https://doi.org/10.1117/12.918245

[8] Pundak N., Porat Z., Barak M., et al. Field reliability of RICOR microcoolers. Proc. SPIE, 2010, vol. 7298. DOI: https://doi.org/10.1117/12.816262

[9] Xavier B., Alain M., Michel V., et al. Reliability optimization for IR detectors with compact cryocoolers. Proc. SPIE, 2005, vol. 5783. DOI: https://doi.org/10.1117/12.607591

[10] Yang S., Liu X., Wu Y. The lifetime prediction model of stirling cryocooler for infrared detector assembly. Proc. SPIE, 2013, vol. 8907. DOI: https://doi.org/10.1117/12.2035196

[11] Vasse C., Seguineau C., Martin J.Y., et al. RMs1: the state of the art SWaP cryocooler. Proc. SPIE, 2018, vol. 10626. DOI: https://doi.org/10.1117/12.2309784

[12] Cauquil J.M., Seguineau C., Martina J.Y., et al. How to manage MTTF larger than 30 000 hr on rotary cryocoolers. Proc. SPIE, 2017, vol. 10180. DOI: https://doi.org/10.1117/12.2262591

[13] Cauquil J.M., Martin J.Y., Bruins P., et al. Update on life time test results and analysis carried out on Thales Cryogenics integral coolers (RM family). Proc. SPIE, 2003, vol. 4820. DOI: https://doi.org/10.1117/12.451052

[14] Moshe B., Filis A., Pundak N., et al. RICORʼs new development of a highly reliable integral rotary cooler: engineering and reliability aspects. Proc. SPIE, 2011, vol. 8012. DOI: https://doi.org/10.1117/12.884218