Modeling Physical Operating Principles During Search Design of Cooling and Refrigerating Systems

  • A. A. Yakovlev
  • V. S. Sorokin
  • S. G. PostupaevaEmail author
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


The chapter describes a new method of search design of cooling and refrigerating systems, the basis of which is represented by a graph model of the physical operating principle based on the thermodynamic description of physical processes. The method can be applied as a means of enhancing the labor efficiency of designers at the early stages of designing owing to reduction in labor expenditures when choosing the concept of an engineering system for refrigeration and also as a methodical support for the development of computer-aided design systems. The mathematical model of the physical operating principle has been substantiated, and the basic abstract theorems of a relatively semantic load applied to nodes and edges of the graph have been represented. The graphic representations of the physical operating principle model of physical phenomena for cooling systems have been developed. The necessity and the physical operating principle, enough for the given model and intended for the considered device class, were demonstrated by the example of an absorption cooling and refrigerating plant. The sequence of drafting of the POP model has been presented. The structures of data have been shown in the form of relative tables.


Searching design Physical operating principle Cooling system Refrigerating system Working body Directed graph 


  1. 1.
    Yan W, Zanny-Merk C, Rousselot F, Cavallucci D (2015) A heuristic method of using the pointers to physical effects in su-field analysis. Procedia Eng 131:539–550. Scholar
  2. 2.
    Alves JF, Navas HVG, Nunes IL (2016) Application of TRIZ methodology for ergonomic problem solving in a continuous improvement environment. In: International conference on safety management and human factors. Springer Vergal, United States.
  3. 3.
    Berdonosov VD, Kozita AN, Zhivotova AA (2016) TRIZ evolution of black oil coker units. Chem Eng Res Des 103:61–73. Scholar
  4. 4.
    Chani JA, Natasha AR, Che Hassan CH, Syarif J (2016) TRIZ approach for machining process innovation in cryogenic environment. Int J Mater Prod Technol 53:268–297. Scholar
  5. 5.
    Korobkin D, Fomenkov S, Kravets A, Kolesnikov S, Dykov M (2015) Three-steps methodology for patents prior-art retrieval and structured physical knowledge extracting. Commun Comput Inf Sci, pp 124–136Google Scholar
  6. 6.
    Glazunov VN (1990) The search of physical operating principles of technical systems. Rechnoy Transport, MoscowGoogle Scholar
  7. 7.
    Zaripov M, Zaripova V, Petrova I (2002) Project of creation of knowledge base on physical effects. In: 23th International conference on systems engineering, Springer Vergal, Las Vegas, pp 365–372.
  8. 8.
    Zaripova V, Petrova I (2014) Knowledge-based support for innovative design on basis of energy-information method of circuit. In: 11th Joint conference on safety knowledge-based software engineering, Springer Vergal, Volgograd, pp 521–532.
  9. 9.
    Zaripova V, Petrova I (2015) System of conceptual design based on energy-informational model. In: Symposium on education in measurement and instrumentation. IMEKO, Wroclaw.
  10. 10.
    Polovinkin AI (1981) The automation of search design, MoscowGoogle Scholar
  11. 11.
    Polovinkin AI (1970) The Method of optimal designing with automatic search of schemes and structures for engineering construction, MoscowGoogle Scholar
  12. 12.
    Lezhnina Y, Khomenko T, Zaripova V (2014) Topological structure for building ontology of energy-information. In: Method. 11th joint conference on safety knowledge-based software engineering, Springer Vergal, Volgograd, pp 185–194.
  13. 13.
    Kravets AG, Kravets AD, Rogachev VA, Medintseva IP (2016) Cross-thematic modeling of the world prior-art state. Rejected patent applications analysis. J Fundam Appl Sci 8(3S):2542–2552Google Scholar
  14. 14.
    Fomenkov SA, Korobkin DM, Kolesnikov SG, Kamaev VA, Kravets AG (2015) The automated methods of search of physical effects. Int J Soft Comput 10(3):234–238Google Scholar
  15. 15.
    Koller R (1979) Konstruktionsmethode für den Maschinen, – Gerate- und Apparatebau. Springer, Verlag, BerlinGoogle Scholar
  16. 16.
    Veinik AI (1991) Thermodynamics of Real Processes. Science and technique, MinskGoogle Scholar
  17. 17.
    Mironenko AG, Kravets AG (2016) Automated methods of patent array analysis. In: IISA 2016—7th International conference on information, Intelligence, Systems and Applications, art. no. 7785341Google Scholar
  18. 18.
    Kamaev VA, Yakovlev AA (2006) Information Modelling of the physical operating principle and formation of a multitude of engineering solutions of energy converters. Inf Technol 1:2–8Google Scholar
  19. 19.
    Zaripova VM, Petrova IY, Kravets A, Evdoshenko O (2015) Knowledge bases of physical effects and phenomena for method of energy-informational models by means of ontologies. Commun Comput Inf Sci 535:224–237Google Scholar
  20. 20.
    Yakovlev AA, Chursina SV, Pozdnyakova PE, Sorokin VS (2013) Energy converters with gaseous and liquid working body searching design. World Appl Sci J, vol 24. Int Digital Organ Sci Inf, pp 213–219.
  21. 21.
    Yakovlev AA, Sorokin VS, Mishustina SN, Proidakova NV, Postupaeva SG (2017) A new method of search design of cooling and refrigerating systems containing a liquid and gaseous working medium based on the graph model of the physical operating principle. In: International conference on information technologies in business and industry. Institute of Physics Publishing, Tomsk.
  22. 22.
    Baranenko AV, Bucharin NN, Pekarev VI, Skakun VI, Timofeevskii LS (1997) Cooling Machines, MoscowGoogle Scholar
  23. 23.
    Dyachek PI (2007) Cooling and refrigerating machines and plants. MoscowGoogle Scholar
  24. 24.
    Kurylyov YS, Onosovskii VV, Rumyantsev D (2000) Cooling and refrigerating Plants. MoscowGoogle Scholar
  25. 25.
    Sadovnikov VI (2002) Quality management: educational aid. Volgograd State Technical University, VolgogradGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • A. A. Yakovlev
    • 1
  • V. S. Sorokin
    • 1
  • S. G. Postupaeva
    • 1
    Email author
  1. 1.Volgograd State Technical UniversityVolgogradRussia

Personalised recommendations