Skip to main content

Automation of Technological System Diagnostics by Parameters of Quality of Surfaces of Machined Parts

  • Conference paper
  • First Online:
Proceedings of the 4th International Conference on Industrial Engineering (ICIE 2018)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

Abstract

The current issues of automation of diagnostic processes of technological systems (DTS) in terms of quality parameters and operational properties of surfaces of machined parts are considered. The concept of the proposed diagnostic method includes four stages related to the DTS plan design, the implementation of the DTS, the measurement of surface quality parameters using information and measurement systems, or the diagnosis of performance characteristics on special test bench, processing and statistical analysis of diagnostic results is presented. An example of the technological system diagnosis for processing flat surfaces of parts on a CNC face milling machine by a composite 10 and subsequent surface plastic deformation by diamond burnishing or roll burnishing with a spherical indenter. The schemes of automated surface treatment of samples in the TS diagnosis are presented. The types of measuring systems for measuring geometrical quality parameters of machined parts surfaces are indicated. A brief description of the system of microstructural analysis of surfaces used to diagnose TS according to physical and mechanical properties is given. As an example of the diagnostics of the operational properties of the surfaces of parts, a method for estimating the relative wear resistance of a surface treated with diamond burnishing is presented. The questions of the application of special test benches, where the testing conditions of joints of parts are similar or reproduce real operating conditions, are considered. A typical structure of an automated system for diagnosing a TS including test benches and control systems, data collection and processing is presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fedorov VP, Nagorkin MN, Pyrikov IL, Ivakhnenko AG, Fedyaeva GA, Potapov LA (2012) Automation of diagnostics of technological systems by quality parameters of surfaces of machined parts. Bull Bryansk State Techn Univ 1:85–94

    Google Scholar 

  2. Nagorkin MN, Fedorov VP, Nagorkina VV, Kovaleva EV (2016) Parametric reliability of technological systems of blade and reinforcing machining with tools from synthetic super hard materials based on geometric quality parameters and tribo-technical characteristics of the surfaces of parts. In: Kirichek AV (ed) Progressive engineering technologies, equipment and tools, vol VII. Publishing House “Spectrum”, Moscow

    Google Scholar 

  3. Nagorkin MN (2017) Parametric reliability of technological systems for finishing and finishing-hardening of surfaces of machine parts with tools made of superhard synthetic materials. Publishing house “Spectrum”, Moscow

    Google Scholar 

  4. Averchenkov VI, Fedorov VP, Nagorkin MN (2005) New approaches to the automation of technological research on the basis of virtual measuring complexes. Bull Bryansk State Tech Univ 1:64–75

    Google Scholar 

  5. Fedorov VP, Finatov DN, Khandozhko VA (2007) Automated systems of scientific research (ASSR) in the engineering of surfaces of machine parts: handbook. Eng J 3:18–22

    Google Scholar 

  6. Fedorov VP, Nagorkin MN, Pyrikov IL (2009) Technological and metrological aspects of adapting the surfaces of machine parts to non-stationary operating conditions in the manufacturing process: handbook. Eng J 10:8–15

    Google Scholar 

  7. Pronikov AS (2002) Parametric reliability of machines. MSTU after Bauman NE, Moscow

    Google Scholar 

  8. Pronikov AS (1985) Programmed method for testing metal cutting machines. Mechanical Engineering, Moscow

    Google Scholar 

  9. Fedorov VP, Nagorkin MN (2014) Principles and means of technological support of given laws of distribution of quality parameters on the machined part surface In: Kirichek AV (ed) Effective technologies of surface plastic deformation and combined processing. Publishing house “Spectrum”, Moscow

    Google Scholar 

  10. Fedorov VP, Nagorkin MN, Kovaleva EV (2012) Technological provision of a regular variation in the quality parameters of the part surface in the process. Bryansk State Technical University, Bryansk

    Google Scholar 

  11. Fyodorov VP, Averchenkov VI, Nagorkin MN (2016) Controlling the parameters of the component quality using program means while performing mechanical machining. In: Procedia engineering 150: 2nd International conference on industrial engineering (Elsevier Ltd.), pp 899–905

    Google Scholar 

  12. Suslov AG, Gorlenko OA (2003) Experimental-statistical method for providing surface quality of machine parts. Mechanical Engineering-1, Moscow

    Google Scholar 

  13. Fyodorov VP, Nagorkin MN, Totai AV (2016) Determination of parametric reliability of machining technological systems by simulation technique. In: IOP conference series: materials science and engineering (Tomsk), vol 124/1. IOP Publishing, 012053

    Google Scholar 

  14. Nagorkin MN, Fedorov VP (2017) Parametric reliability of tribotechnological systems in terms of wear resistance of cylindrical frictional joints. In: Vibrational processes in the technology of processing high-tech parts. DSTU, Rostov-on-Don

    Google Scholar 

  15. Suslov AG (2003) Technological support and enhancement of operational properties of machine parts by plastic deformation processing: handbook. Eng J 8:8–13

    Google Scholar 

  16. Fyodorov VP (2006) Technological stability and parameters of the contact interaction of the indenter with the surface during the finish processing of SPD by devices of elastic action: handbook. Eng J 4:4–8

    Google Scholar 

  17. Nagorkin MN, Fyodorov VP, Kovalyova EV, Toporkov MP (2016) Technological support of quality parameters and operational properties of surfaces of machine parts for operation in heterogeneous conditions. Prog Technol Eng Syst 1:136–145

    Google Scholar 

  18. Fedorov VP, Nagorkin MN (2011) Technological support of regular changes in the quality of the surface layer of parts during machining on CNC machines. Sci Intensive Technol Mech Eng 2:40–46

    Google Scholar 

  19. Fedorov VP, Nagorkin MN, Pyrikov IL, Toporkov MP (2016) Modeling and quality management of the surface layer of parts with the use of modern tools and computer technologies. Prog Technol Eng Syst 2:138–147

    Google Scholar 

  20. Nagorkin MN, Fyodorov VP, Nagorkina VV (2017) Simulation modelling of tribotechnologies system and its parametric reliability assessment on tribotechnical parameters of the joints of sliding friction. IOP conference series. Mater Sci Eng 177:012079

    Google Scholar 

  21. Nagorkin MN, Fyodorov VP, Totay AV, Kovalyova EV (2017) Control of part surface parameter quality during processing with surface plastic deformation. Bull Bryansk State Tech Univ 8:3–14

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. N. Nagorkin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nagorkin, M.N., Fyodorov, V.P., Kovalyova, E.V. (2019). Automation of Technological System Diagnostics by Parameters of Quality of Surfaces of Machined Parts. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 4th International Conference on Industrial Engineering. ICIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95630-5_164

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95630-5_164

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95629-9

  • Online ISBN: 978-3-319-95630-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics