FEATURES OF THE USE OF COMPUTER MODELING TOOLS FOR IMPROVING THE MANUFACTURING PROCESSES OF LASER GYROSCOPES
Evgeny V. Kuznetsov, JSC “Research Institute” Polyus “named after M. F. Stelmakh”;
Peoples’ Friendship University of Russia, Moscow, Russia, bereg@niipolyus.ru
Dmitry N. Ermakov, Peoples’ Friendship University of Russia;
JSC “Research Institute” Polyus “named after M. F. Stelmakh”, Moscow, Russia, dermakow@mail.ru
Oleg E. Samusenko, Peoples’ Friendship University of Russia, Moscow, Russia, samusenko@rudn.ru
Yuri D. Golyaev, JSC “Research Institute” Polyus “named after M. F. Stelmakh”, Moscow, Russia
Tatyana I. Solovyeva, JSC “Research Institute” Polyus “named after M. F. Stelmakh”;
Peoples’ Friendship University of Russia, Moscow, Russia
Nikita E. Kuznetsov, JSC “Research Institute” Polyus “named after M. F. Stelmakh”, Moscow, Russia
Abstract
The article discusses ways to improve the quality and economic efficiency of the development and production of complex innovative electronic devices, which include laser gyroscopes (LG). The problems that arise when ensuring reliable operation of the LG in a wide temperature range, associated with the dense layout of the device, are described. The theoretical principles and mathematical apparatus that are used in the construction of thermal models of triaxial LG with electronics are considered in detail. The developed algorithm for constructing a thermal model of the LG is presented, which provides for a step-by-step unbundling (zooming) procedure. The process of modeling LG using the ASONIKA system is described, the constructed thermal model of LG is presented, as well as the thermal field of one of the printed nodes of LG. The detected heat-loaded electronic components are indicated. The results of experimental verification of the simulation accuracy by means of real measurement of temperatures in the model nodes by thermal sensors are presented, which confirmed the reliability of thermal modeling using the ASONIKA system. It is emphasized that the cost of manufacturing and testing of LG is quite high. Therefore, the task of finding ways to reduce the cost at the stages of development and production of LG while ensuring the improvement of the quality and reliability of manufactured devices is extremely relevant. Accurate thermal modeling at the early stages of development is an effective way to solve this problem due to cost savings on testing and redesign, as well as due to the use of an inexpensive domestic computer modeling system ASONIKA.
Keywords:laser gyroscope, computer thermal modeling, electrothermal analogies method, step-by-step scaling (zooming) method, finite difference method, grid method, graph method.
References
1. V.V. Abaturov, I.I. Savelyev, C.A. Skopin (2019). Thermal model of Zeeman ring laser, 2019 International Seminar on Electron Devices Design and Production (SED 2019), Prague, Czech Republic.
2. C. Aldham (2017). Five Common Misconceptions about Thermal Design. https://thermalconference.com.
3. A. Belov, T. Soloveva (2016). Intellectual Ring Laser Quality Control System – Key Component of Ring Lasers Science-Based Production. 20th International Conference KES-2016 on Knowledge-Based and Intelligent Information and Engineering Systems (York, England, September 4-7 2016). Procedia Computer Science. Vol. 96. Amsterdam: Elsevier B.V., pp. 456-464.
4. A. Belov, A. Vnukov, T. Soloveva (2017). Complex education program “Project Seminar” to meet today and tomorrow needs of fast developing optical-electronic industry. ISSE 2017 40th International Spring Seminar on Electronics Technology. Red Hook, USA: IEEE Computer Society, pp. 1-7.
5. B. Cook (2017). Slashing PCB Design Cycle Time Using Real-time PCB Thermal Analysis Tools. https://thermalconference.com.
6. H.C. Cheng, C.Y. Yu, W.H.Chen (2005). An Effective Thermal-mechanical Modeling Methodology for Large-scale Area Array Typed Packages. Computer Modeling in Engineering & Sciences, vol. 7, no. 1, pp. 1-17.
7. M.V. Chirkin, V.V. Klimakov, A.I.; Ulitenko, A.V. Molchanov (2011). Passive controlling of a temperature field inside strapdown inertial navigation system. Proceedings of 18th S-Petersburg International Conference on Integrated Navigation Systems, S-Pb, Russia, 30 May-1 June, 2011. pp. 122-124.
8. P.I. Kandalov, A.G. Madera (2010). Mathematical and computing modeling of temperature fields in electronic modules. Proc 16th Intern. Workshop on Thermal Investigations of ICs and Systems (THERMINIC). IEEE. Barselona, Spain, October 6-8, 2010.
9. Yu.N. Kofanov (1991). Theoretical basement of designing, technology and reliability of radioelectronic devices. Moscow: Radio i svyaz. 360 p. (in Russian)
10. Yu.N. Kofanov (2012). Automated system ASONIKA in designing of radioelectronic devices. Moscow: MIEM NRU HSE. 58 p. (in Russian)
11. Y.N. Kofanov, S.Y. Sotnikova, D. Lemanskiy (2014). Method of computer modelling accuracy increase for electronic means based on interconnection of different physical processes proceeding, in: Innovative Information Technologies: Materials of the International scientific-practical conference. / Ed. by S. U. Uvaysov. Part 2. Moscow: HSE, pp. 616-620.
12. Y.N. Kofanov, Y.A. Vinokurov, S.Y. Sotnikova (2019). Optoelectronic Devices’ Thermal Working Modes Providing Method. 2019 International Seminar on Electron Devices Design and Production (SED 2019), Prague, Czech Republic.
13. E. Kuznetsov, Y. Kolbas, Y. Kofanov, N. Kuznetsov, T.Soloveva (2019). Method of Computer Simulation of Thermal Processes to Ensure the Laser Gyros Stable Operation. ICCES’2019 International Conference on Computational&Experimental Engineering and Sciences (Tokyo, Japan, 24-28 March, 2019). Conference Abstract. Co-sponsored by Tech Science Press. ID:5268.
14. E. Kuznetsov, Y. Kolbas, Y. Kofanov, N. Kuznetsov, T. Soloveva (2020). Method of Computer Simulation of Thermal Processes to Ensure the Laser Gyros Stable Operation. In: Okada H., Atluri S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2019. Mechanisms and Machine Science, vol 75. Springer, Cham. P. 295-300.