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Arching Design of Device for Cooling Cutting Zone of Milling Machine Based on Graph Model of Physical Working Principle

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

Abstract

The article describes a new method of cooling system searching design, which is based on the physical working principle graph model, based on the thermodynamic description of physical processes. The rationale of the physical working principle graph model has been presented, and basic theoretical propositions concerning the semantic load on the vertices and edges of the graph have been shown. The necessity and sufficiency of this physical working principle graph model for this class of devices have been confirmed by modeling the physical working principle of a technical solution for device for cooling the cutting zone of a milling machine. The example of technical solutions for device for cooling the cutting zone of a milling machine plurality obtainment has been represented. The method can be applied as a means of enhancing the labor efficiency of designers at early stages of designing owing to reduction of 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.

Keywords

Searching design Physical operating principle Cooling system Directed graph 

References

  1. 1.
    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, United States, pp 473–485.  https://doi.org/10.1007/978-3-319-41929-9_43Google Scholar
  2. 2.
    Berdonosov VD, Kozita AN, Zhivotova AA (2016) TRIZ evolution of black oil coker units. In: chemical engineering research and design. Vol 103. Springer, Komsomolsk-na-Amure, pp 61–73.  https://doi.org/10.1016/j.cherd.2015.08.013CrossRefGoogle Scholar
  3. 3.
    Chani JA, Natasha AR, Che Hassan CH, Syarif J (2016) TRIZ approach for machining process innovation in cryogenic environment. Int J Mater Prod Technol. Inderscience Enterprises Ltd 53:268–297.  https://doi.org/10.1504/ijmpt.2016.079200CrossRefGoogle Scholar
  4. 4.
    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 535:124–136Google Scholar
  5. 5.
    Glazunov VN (1990) The search of physical operating principles of technical systems, p 143Google Scholar
  6. 6.
    Zaripov M, Zaripova V, Petrova I (2002) Project of creation of knowledge base on physical effects. In 23th international conference on systems engineering. Springer, Las Vegas, pp 365–372.  https://doi.org/10.1007/978-3-319-08422-0_54CrossRefGoogle Scholar
  7. 7.
    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, Volgograd, pp 521–532.  https://doi.org/10.1007/978-3-319-11854-3_45Google Scholar
  8. 8.
    Zaripova V, Petrova I (2015) System of conceptual design based on energy-informational model. In: symposium on education in measurement and instrumentation, IMEKO, Wroclaw.  https://doi.org/10.1007/978-3-319-08422-0_54CrossRefGoogle Scholar
  9. 9.
    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
  10. 10.
    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
  11. 11.
    Fomenkov SA, Korobkin DM, Kolesnikov S, Kamaev VA, Kravets AG (2015) The automated methods of search of physical effects. Int J Soft Comput 10(3):234–238Google Scholar
  12. 12.
    Koller R (1976) Konstruktions methode fur den Maschinen. Berlin, Heidelberg, New York, Gerate und Apparateban, p 430Google Scholar
  13. 13.
    Fomenkov SA, Davydov DA, Kamaev VA (2004) Modeling and automated use of structured physical knowledge. Mechanical Engineering-1, Moscow, p 297Google Scholar
  14. 14.
    Veinik AI (1991) Thermodynamics of real processes. Navuka i Tehnika, Minsk, p 576Google Scholar
  15. 15.
    Veinik AI (1968) Thermodynamics. Minsk, Visheysh shcola, p 464Google Scholar
  16. 16.
    Kamaev VA, Yakovlev AA (2006) Physical working principle modeling and developing sets of technical solutions for energy converters. Inf Technol 1:2–8Google Scholar
  17. 17.
    Schevchuk VP, Yakovlev AA (2006) The method for synthesis of conceptual engineering solutions power converters. Industr energ 3:41–46Google Scholar
  18. 18.
    Kurylev ES, Onosovskiy VV, Rumyantsev YD (2000) Refrigerations units. Polytechnic, Spb, p 367Google Scholar
  19. 19.
    Dyachek PI (2007) Refrigerating machines and units Fenix high education, Rostov n/D, p 424Google Scholar
  20. 20.
    Yakovlev AA, Mishustina SN, Sorokin VS, Mishustin OA (2015) Device for supplying of lubricant cooling technological means. Lm 154326 of the Russian Federation, IPC B23Q 11/10, VSTUGoogle 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

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