Probability theory of degradation of thermoelectrtic energy converters and its use to determine the reliability of thermoelectric materials

Authors

  • P.V. Gorsky 1. Institute of Thermoelectricity of the NAS and MES of Ukraine, 1 Nauky str., Chernivtsi, 58029, Ukraine. 2. Yuriy Fedkovych Chernivtsi National University 2 Kotsiubynskyi str., Chernivtsi, 58012, Ukraine

Keywords:

limit resource of thermoelectric energy converter as the average limit resource of thermoelectric materials, 95 % limit resource of thermoelectric materials, minimum achievable equivalent failure rate, relative errors in their determination

Abstract

A probabilistic theory of degradation of thermoelectric energy converters has been developed, which describes such stages of their life cycle as the run-in period, which is described by the Weibull function, the period of stable operation, during which the failure rate is not necessarily constant, and the period of mass failures. To correctly describe these stages, the theory introduced the limit resource of a thermoelectric energy converter, which is consumed over time according to a nonlinear law and is precisely determined by the limit capabilities of thermoelectric and other materials, as well as contact structures. But this limit resource is a generalized integral characteristic of the limit resource capabilities of all materials used to create a thermoelectric energy converter and cannot be unambiguously “distributed” between them. After its complete consumption, there is a complete loss of performance of the thermoelectric energy converter. The parameters of the theory are determined by the least squares method based on processing the results of life tests.  By combining the results obtained with a diffusion-nonmonotonic distribution of failure times, the parameters of which are also determined by the least squares method, it is possible to obtain such integral indicators of the reliability of materials as the average limit resource, 95% limit resource, the minimum achievable equivalent failure rate and relative errors, in this case – with a confidence probability of 0.95).

References

1. Anatychuk L.I., Luste O. (2017). Model studies of degradation mechanisms of thermoelectric materials and contact structures. J.Thermoelectricity, 4, 62 – 88.

2. Gorskyi P.V. (2022). Peculiarities of determining reliability indicators of thermoelectric generator modules based on experimental data. Technology and Design in Electronic Equipment, 1-3, 50 – 56. http://dx.doi.org/10.15222/TKEA2022.1-3.50.

3. Gorskyi P.V. (2022). Comparison of the reliability of thermoelectric generator modules with different circuits of electric connection of thermoelements. Technology and Design in Electronic Equipment, 1 – 3, 59 – 64. http://dx.doi.org/10.15222/TKEA2022.4-6.59.

4. Gorskyi P.V. Peculiarities of determining reliability indicators of thermoelectric generator modules. In: Proceedings of the XXII International Scientific and Practical Conference of the ISPC СІЕТ-XXII Odesa – 2022, May 23 – 27. – P. 38 – 39.

5. G.K. Kotyrlo (1980). Raschiot i konstruirovaniie termoelektricheskikh generatorov i teplovykh nasosov. Spravochnik. [Calculation and design of thermoelectric generators and heat pumps. Handbook]. Kyiv: Naukova dumka.

6. Gorskyi P.V. (2023). Do thermoelectric generator modules degrade due to nickel diffusion. Technology and Design in Electronic Equipment, 3-3-4, 59 – 64. http://dx.doi.org/10.15222/TKEA2023.3-4-.59.

7. Sublimation of volatile component as a possible mechanism of thermoelectric material degradation. (2022). Physics and Chemistry of the Solid State, 23, 204 – 209. DOI:1015330/pcss23.2.204-209

How to Cite

Gorsky , P. (2024). Probability theory of degradation of thermoelectrtic energy converters and its use to determine the reliability of thermoelectric materials. Journal of Thermoelectricity, (2), 50–58. Retrieved from http://jte.ite.cv.ua/index.php/jt/article/view/89