Relative statistical evaluation of printed circuit boards mechanical characteristics technological non-uniformity

Radio engineering, including TV systems and devices


Аuthors

Krylov V. P.*, Pronin T. Y.*

State University named after Alexander and Nikolay Stoletovs, 87, Gorky str. Vladimir, 600000, Russia

*e-mail: pronin_t_y@list.ru

Abstract

A model of statistical factor analysis was applied for a batch of 12 samples of glass-epoxy double-sided and multilayer printed circuit boards (PCBs) to examine the engineering tolerance of the average values of elastic modulus and mechanical loss coefficient. Experimental estimates of the variations were obtained in the form of ratios of standard deviations of the technological and measuring errors.

Samples of various thickness with a shape of rectangular plates with 130 by 60 mm size were alternately secured in the fixture on a vibrating table by the four screws on the corners. Registration of frequency characteristics near the first resonance was performed with the IMV shaker i220 in the sinusoidal vibration mode within the frequency range of 5 ... 2000 Hz with a vibration acceleration of 2 g. In this frequency range the device has no natural resonances.

The measurement cycle consisted of two series of measurements of each sample, performed within one working day, with one-hour interval between each series. Three cycles were performed: before and after the heat treatment in a convective reflow oven, and after 6 months of storage at room temperature.

The numerical values of the mechanical characteristics were measured by solving inverse ill-posed problems using SolidWorks Simulation program. The calculated model of factor analysis assumes the random nature of technological and measuring errors, as well as a linear correlation between the series of measurements. The Pearson correlation coefficient uniquely determines the relative statistical evaluation of the technological error of the aforementioned mechanical characteristics of the PCBs within the batch.

The relative estimate of the elastic modulus variation equals to 14 and does not depend on the heat treatment and storage within the confidence interval of the sample value of the correlation coefficient. The corresponding estimate of the variation in the coefficient of mechanical loss, initially equal to 3, increases by more than 50% after the heat treatment and returns to its original values after storage.

Recommendations on the application of the results obtained while the vibration strength testing of electronic devices of the unmanned spacecraft are given.

Keywords:

printed circuit boards, mechanical characteristics, technological error, measurement error, statistical evaluation

References

  1. Bezmozgii I.M., Kazakova O.I., Sofinskii A.N., Chernyagin A.G. Kosmicheskaya tekhnika i tekhnologii, 2014, no. 4 (7), pp. 31 - 41.

  2. Sofinskii A.N. Kosmicheskaya tekhnika i tekhnologii, 2016, no. 1 (12), pp. 12 - 21.

  3. Orlov S.A. Vestnik Sibirskogo gosudarstvennogo aerokosmicheskogo universiteta im. akademika M.F. Reshetneva, 2013, no. 1 (47), pp. 125 - 129.

  4. Veprik A.M. Vibration Protection of Critical Components of Electronic Equipment in Harsh Environmental Conditions, Journal of Sound and Vibration, 2003, no. 259 (1), pp. 161 - 175.

  5. Shalumov A.S., Malyutin N.V., Kofanov Yu.N. et al. Avtomatizirovannaya sistema ASONIKA dlya proektirovaniya vysokonadezhnykh radioelektronnykh sredstv na printsipakh CALS-tekhnologii (ASONIKA automated system for highly reliable electronic equipment based designing on the CALS-technologies principles), Moscow, Energoatomizdat, 2007, vol. 1, 368 p.

  6. Kalintsev V.I., Likhachev M.V., Usakov V.I. Aktual'nye problemy aviatsii i kosmonavtiki, 2016, vol. 1, no. 12, pp. 363 - 365.

  7. Likhachev M.V. Vestnik Sibirskogo gosudarstvennogo aerokosmicheskogo universiteta im. akademika M.F. Reshetneva, 2015, vol. 16, no. 2, pp. 423 - 429.

  8. Kofanov Yu.N., Novikov E.S., Shalumov A.S. Informatsionnaya tekhnologiya modelirovaniya mekhanicheskikh protsessov v konstruktsiyakh radioelektronnykh sredstv (Information technology for mechanical processes modeling in radio-electronic means structures), Мoscow, Radio I svyaz’, 2000, 160 p.

  9. Platy pechatnye. Metody ispytanii fizicheskikh parametrov. GOST R 55744-2013 Natsional'nyi standart RF. OKS 31.180 (Printed circuit boards. Test methods for physical parameters State Standard R 55744-2013), Moscow, Standartinform, 2014, 43 p.

  10. Medvedev A., Mozharov V., Mylov G. (Prilozhenie k zhurnalu “Elektronika: NTB”), 2011, no. 5, pp. 148 – 162.

  11. Medvedev A. Tekhnologiya proizvodstva pechatnykh plat (PCB Production Technology), Moscow, Technosfera, 2005, 358 p.

  12. Mylov G.V., Medvedev A.M., Semenov P.V., Drozhzhin I.V. Proizvodstvo gibkikh i gibko-zhestkikh pechatnykh plat (Production of flexible and flexible-rigid printed circuit boards), Moscow, Goryachaya liniya – Telekom, 2016, 268 p.

  13. Medvedev A.M. Pechatnye platy: konstruktsii i materialy (Printed circuit boards: designs and materials), Мoscow, Technosfera, 2004, 302 p.

  14. Mozharov V.A. Trudy MAI, 2013, no. 65, available at: http://trudymai.ru/eng/published.php?ID=40666

  15. Mozharov V.A., Shuman K.V. Trudy MAI, 2012, no. 50, available at: http://trudymai.ru/eng/published.php?ID=28828

  16. Glebov I.V., Kotenko V.D. Trudy MAI, 2015, no. 83, available at: http://trudymai.ru/eng/published.php?ID=62329

  17. Medvedev A.M. Sborka i montazh elektronnykh ustroistv (Assembly and installation of electronic devices), Мoscow, Technosfera, 2007, 256 p.

  18. Solov'ev D.B., Shalumov A.S., Pershin E.O. Naukoemkie tekhnologii, 2011, no. 11, pp. 25 - 31.

  19. Nanahara T., Yamashita K., Inoue T. Identification of System Characteristics of a Power System with Time Series Data-Identification of Frequency Fluctuation Characteristics of a Small-Scale Isolated System, Transactions of the Institute of Electrical Engineers of Japan, 2004, vol. 124, no. 1, pp. 23 - 31.

  20. Katsikadelis J.T. System identification by the analog equation method, Boundary Elements XVII Transaction: Modelling and Simulation, Wessex: Institute of Technology, 1995, vol. 10, pp. 512 - 524.

  21. Krylov V.P. Tekhnika sredstv svyazi, 1992, no. 4, pp. 139 – 143.

  22. Kharman G. Sovremennyi faktornyi analiz (Modern factor analysis), Мoscow, Statistika, 1972, 486 p.

  23. Lukomskii Ya.I. Teoriya korrelyatsii i ee primenenie k analizu proizvodstva (Correlation theory and its application to production analysis), Moscow, Gosstatizdat, 1961, 388 p.

  24. Alyamovskii A.A. Inzhenernye raschety v SolidWorks Simulation (Engineering calculations in SolidWorks Simulation), Moscow, DMK Press, 2010, 345 p.

  25. Martyushev S.G., Dement'ev A.A. Vestnik Sibirskogo gosudarstvennogo aerokosmicheskogo universiteta im. akademika M.F. Reshetneva, 2018, vol. 19, no. 1, pp. 82 - 97.


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