Skip to main content
SpringerLink
Log in

Import Substitution and Monitoring of Workpiece Quality

  • Published:
Russian Engineering Research Aims and scope

Abstract

Expert analysis of the quality of reclaimed castings permits estimation of their structural reliability. Monitoring by visual, instrumental, and capillary methods permits identification of the technological deficiencies responsible for rejection and discarding of the workpiece. The introduction of electronic information systems with intermediate digital monitoring of casting production is prompted by the inconsistent appearance of casting defects. Product life cycle management (PLM) provides the basis for ensuring the quality of machine components in an import substitution strategy.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

REFERENCES

  1. Kapyrin, P. and Sevryugina, N., The procedural approach to reliability of objects of the raised level of responsibility, IOP Conf. Ser.: Mater. Sci. Eng., 2018, vol. 365, p. 042018. https://doi.org/10.1088/1757-899X/365/4/042018

  2. Sevryugina, N., Modified method for calculation of vehicles residual lifetime with regard of the impact factors variability, in Int. Sci. Conf. Energy Management of Municipal Transportation Facilities and Transport (EMMFT 2017). Advances in Intelligent Systems and Computing, Murgul, V. and Popovic, Z., Eds., Cham: Springer, 2018, vol. 692, pp. 273–281. https://doi.org/10.1007/978-3-319-70987-1_29

  3. Evgrafov, V.A., Apatenko, A.S., and Novichenko, A.I., Vzaimosvyaz’ ekspluatatsionno-tekhnologicheskikh svoistv mashin i kachestva ikh tekhnicheskoi ekspluatatsii v prirodoobustroistve: Monografiya (Relationship between Operational and Technological Properties of Machines and the Quality of Their Technical Operation in Environmental Engineering: Monograph), Moscow: Sputnik+, 2015. ISBN 978-5-9973-3466-6.

  4. Toigambaev, S.K. and Apatenko, A.S., Obrabotka rezul’tatov informatsii po nadezhnosti transportnykh i tekhnologicheskikh mashin metodom matematicheskoi statistiki (Processing the Results of Information on the Reliability of Transport and Technological Machines by the Method of Mathematical Statistics), Moscow: Megapolis, 2020. ISBN 978-5-6043722-6-5.

  5. Leonov, O.A. and Shkaruba, N.Zh., New trends in the assessment of control processes in machine-building enterprises, Sbornik nauchnykh statei III mezhdunarodnoi nauchnoi konferentsii “Prioritetnye napravleniya innovatsionnoi deyatel’nosti v promyshlennosti,” Kazan’, 30–31 marta 2021 g. (Coll. Sci. Works III Int. Sci. Conf. “Priority Directions of Innovation Activity in Industry,” Kazan, March 30–21, 2021), Kazan: Konvert, 2021, pp. 73–74.

  6. Leonov, O.A. and Temasova, G.N., Quality cost estimation methodology for enterprises, Vestn. Mosk. Gos. Agroinzh. Univ. im. V.P. Goryachkina, 2007, no. 5 (25), pp. 23–27.

  7. Leonov, O.A., Shkaruba, N.Z., Vergazova, Y.G., et al., Quality control in the machining of cylinder liners at repair enterprises, Russ. Eng. Res., 2020, vol. 40, no. 9, pp. 726–731. https://doi.org/10.3103/S1068798X20090105

    Article  Google Scholar 

  8. Shkaruba, N.Zh. and Leonov, O.A., The role of metrological support at the stages of the life cycle of machines and equipment, Materialy Vserossiiskoi nauchno-tekhnicheskoi konferentsii s mezhdunarodnym uchastiem “Otechestvennyi i zarubezhnyi opyt obespecheniya kachestva v mashinostroenii,” Tula, 6–8 aprelya 2022 g. (Proc. III All-Russ. Sci.–Tech. Conf. with Int. Participation “Domestic and Foreign Experience in Quality Assurance in Mechanical Engineering,” Tula, April 6–8, 2022), Tula: Tula State Univ., 2022, pp. 58–60.

  9. Temasova, G.N., Leonov, O.A., Shkaruba, N.Zh., et al., RF Certificate of State Registration of the Database no. 2021621718, 2021.

  10. Gol’tyapin, V.Ya., Mishurov, N.P., Buklagin, D.S., and Apatenko, A.S., Tendentsii intellektualizatsii traktorov i mashino-traktornykh agregatov: Analiticheskii obzor (Trends in the Intellectualization of Tractors and Machine-Tractor Units: Analytical Review), Moscow: Rosinformagrotekh, 2021. ISBN 978-5-7367-1648-7.

  11. Bondareva, G.I., Temasova, G.N., Leonov, O.A., et al., Assessing external defects at manufacturing enterprises, Russ. Eng. Res., 2022, vol. 42, no. 2, pp. 151–154. https://doi.org/10.3103/S1068798X22020046

    Article  Google Scholar 

  12. Leonov, O.A. and Shkaruba, N.Zh., Theoretical basis of selection of measurement measures in control of linear sizes, J. Phys.: Conf. Ser., 2020, vol. 1679, no. 5, p. 052081. https://doi.org/10.1088/1742-6596/1679/5/052081

    Article  Google Scholar 

  13. Leushin, I.O., Chistyakov, D.G., and Volodin, V.A., Influence of alloying and microstructure of cast iron on the quality of glass molds, Vestn. Mashinostr., 2015, no. 11, pp. 54–57.

  14. Ismailov, N.Sh. and Gasanli, R.K., Influence of technology on the quality of casting molds for high-strength cast iron with nodular graphite, Vestn. Mashinostr., 2016, no. 1, pp. 65–66.

  15. Chernyshov, E.A., Romanov, A.D., and Romanova, E.A., Improving the performance of high-strength steel castings by specialized cooling, Russ. Eng. Res., 2017, vol. 37, no. 10, pp. 877–881. https://doi.org/10.3103/S1068798X17100070

    Article  Google Scholar 

  16. Kozhukhova, I.V., Zhernovsky, M.I., and Kozhukhova, E.V., Correlation of quality assessment methods of class F fly as for synthesis of geopolymers, Mater. Sci. Forum, 2020, vol. 974, pp. 61–66. https://doi.org/10.4028/www.scientific.net/MSF.974.61. http://www.scopus.com/inward/record.url?eid=2-s2.0-85079208785&partner ID=MN8TOARS

  17. Zhernovsky, A., Cherevatova, E.V., Voitovich, N.I., and Kozhukhova, E.I., High-emperature phase transformations in CaO–SO3–SiO2–H2O system with nanosized component, Int. J. Appl. Eng. Res., 2016, vol. 11, no. 12, pp. 7732–7735. http://www.scopus.com/inward/record.url?eid=2–s2.0–84989160322& partner ID=MN8TOARS

Download references

Author information

Authors and Affiliations

  1. Russian State Agrarian University–Timiryazev Moscow Agricultural Academy, Moscow, Russia

    N. S. Sevryugina & A. S. Apatenko

Authors
  1. N. S. Sevryugina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. S. Apatenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to N. S. Sevryugina or A. S. Apatenko.

Ethics declarations

The authors declare that they have no conflicts of interest.

Additional information

Translated by B. Gilbert

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sevryugina, N.S., Apatenko, A.S. Import Substitution and Monitoring of Workpiece Quality. Russ. Engin. Res. 43, 927–933 (2023). https://doi.org/10.3103/S1068798X23080294

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068798X23080294

Keywords:

Search

Navigation