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Model of Airflow Process Through Throttling Sections of Automated Deadweight Absolute Pressure Measurement System

  • A. MarkovEmail author
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The aim of the work is to develop a mathematical flow of air with constant pressure drops through the throttling areas of the non-compacted piston of the automated cargo-piston absolute pressure measurement system. Research methods include the theory of automatic control and simulation of systems, as well as the basic laws and regulations of gas dynamics. The results of theoretical studies of the processes of airflow with constant pressure drops through the throttling areas of the non-compacted piston are presented in a mathematical model, the main parameters of gas-dynamic processes occurring in a closed volume, in which the absolute air pressure is set. The connection between the value of the pressure drop and the airflow through the throttling areas of the non-compacted piston is established. The proposed mathematical model allows conducting theoretical studies and computer experiments, as a result of which the optimal values of the constant pressure drop can be selected, allowing to provide the necessary dynamic and precision characteristics of the automated cargo-piston system of absolute pressure measurement. The mathematical model is brought to the calculated level and can be used to solve the problems of designing automated cargo-piston systems of absolute pressure measurement as a precision tool for quality control.

Keywords

Pressure measurement Pressure setting Automated control Quality control Unpacked piston Pressure sensor 

References

  1. 1.
    Markov AV (2014) Problems and ways of absolute pressure sensors quality control systems modernization. Sci J Age Qual 4:30–32Google Scholar
  2. 2.
    Markov AV (2015) Concept of measuring instruments of absolute pressure sensors quality control systems. Sci J Age Qual 1:34–35Google Scholar
  3. 3.
    Pushkov SG, Lovitsky LL, Korsun ON (2018) Aero-synamic errors of the aircraft static pressure measurement systems in sliding modes. Meas Tech 2:37–42Google Scholar
  4. 4.
    Pushkov SG, Gorshkova OYu, Korsun ON (2013) Mathematic models of in-flight measurements of speed and angle of attack in aircraft landing modes. Mechatronics Automotization Control 18:66–70Google Scholar
  5. 5.
    Korsun ON, Nikolaev SV, Pushkov SG (2016) Algorithm for estimating systematic errors in airspeed measurements, angles of attack and slip in flight tests. In: Proceedings of the Russian academy of sciences. The theory of control systems vol 3, pp 118–129Google Scholar
  6. 6.
    Loparev VK, Markov AV, Stepanyan NM, Dryuk VA (2003) Structure of automatic verification stand of air pressure measuring instruments. Information technologies on transport. Collection of research papers, Politechnics, Saint-Petersburg, p 220‒222Google Scholar
  7. 7.
    Markov AV (2006) Problems of metrological assurance for measuring instruments. In: 61th scientific technical conference abstracts dedicated to day of radio, Saint Petersburg Electrotechnical University “LETI”, p 226‒228Google Scholar
  8. 8.
    Loparev VK, Markov AV, Spiridonov EI, Stepanyan NM (2002) Organization of frequency pressure sensor with ratio of error of verifiable and reference instruments. Methods of applied mathematics in transport systems: issue 6, collection of research papers, Saint Petersburg State University of Water Communications, Saint-Petersburg, p 137‒139Google Scholar
  9. 9.
    Markov AV (2018) The concept of precision automated control systems for pressure sensors as a means of metrological support of aircrafts. Questions of defense technology. Series 16: Tech Means Countering Terrorism. 9–10 (123‒124):150‒154Google Scholar
  10. 10.
    Markov AV (2018) The concept of precision automated deadweight piston quality control systems for pressure sensors. Qual Innovation Edu 4:89–93Google Scholar
  11. 11.
    Markov AV (2010) Software-controlled pressure setting system. Patent of the Russian Federation for useful model 107869Google Scholar
  12. 12.
    Markov AV (2017) Development of automated pressure sensors. International scientific journal “Mathematical modeling”, YEAR I ISSUE 1/2017 ISS 2535‒0978, Sofia, Bulgaria, p 31‒32Google Scholar
  13. 13.
    Mirskaya VA, Nazarevich DA, Ibavov NV (2017) Method of pressure measurement on an experimental installation for studying the complex of thermophysical properties of liquids and gases. Meas Tech 9:33–36Google Scholar
  14. 14.
    Mirskaya VA, Ibavov NV, Nazarevich DA (2016) Automated experimental installation for investigating the complex of thermophysical properties of liquids and gases. Thermophys High Temp 54(2):237–242Google Scholar
  15. 15.
    Siraya TN (2018) Methods of data processing for measurements and metrological models. Meas Tech 1:9–14CrossRefGoogle Scholar
  16. 16.
    Korovina OA (2018) Assessment of the risks of the manufacturer and the customer when monitoring the errors of measuring devices at one or several points. Measuring Tech 5:14–17Google Scholar
  17. 17.
    Danilevich SB (2015) Reliability of the results of multiparameter measurement control. Control Commun Saf Syst 4:171–179Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Baltic State Technical University “VOENMEH” Named After D. F. UstinovSaint PetersburgRussia

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