Skip to main content
SpringerLink
Log in

Condition monitoring studies on spindle bearing of a lathe

  • Original Article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In modern industry, machinery must become increasingly flexible and automatic. In order to increase productivity, enhance quality and reduce cost, machine tools have to work free of any failure. When a failure occurs in a machine tool, it is necessary to identify the causes as early as possible. Machine tool condition monitoring is very important to achieve this goal. Condition monitoring is generally used on the critical subsystem of any machine tool. This paper endeavors to focus on the condition monitoring aspects on the machine tool element. In the present study, a critical subsystem has been identified based on the failure data analysis. Condition monitoring techniques like vibration monitoring, acoustic emission, Shock Pulse Method (SPM) and surface roughness have been successfully used for fault identification.

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

Similar content being viewed by others

Abbreviations

SPM:

Shock Pulse Method

References

  1. Kegg RL (1984) On-line machine and process diagnostics. Ann CIRP 32(2):469–478

    Google Scholar 

  2. Bertele OV (1990) Why condition monitor? In: Condition Monitoring, Proceedings of the 3rd International Conference, Windsor, UK, 15–17 October, pp 3–12

  3. Neale MJ (1985) The benefit of condition monitoring. In: Condition monitoring of machinery and plant, Mechanical engineering publications Ltd., The Institution of Engineers, London, pp. 25–30

    Google Scholar 

  4. Martin KF (1994) A review by discussion of condition monitoring and fault diagnosis in machine tools. Int J Mach Tools Manuf 34(4):527–551

    Article  Google Scholar 

  5. Saravanan S, Yadava GS, Rao PV (2003) Machine tool failure data analysis for condition monitoring application. In: Proceedings of the 11th National Conference on Machines and Mechanism, 18–20 December, IIT Delhi, New Delhi, Allied Publishers Pvt. Limited, pp 552–558

    Google Scholar 

  6. Harris CG, Williams JH, Davies A (1989) Condition monitoring of machine tools. Int J Prod Res 27 (9):1945–1964

    Article  Google Scholar 

  7. Wang Y, Jia Y, Yu J, Zheng Y, Yi S (1999) Failure probabilistic model of CNC lathes. Reliab Eng Syst Safety 65(3):307–314

    Article  Google Scholar 

  8. Wang Y, Jia Y, Jiang W (2001) Early failure analysis of machining centres: case study. Reliab Eng Syst Safety 72(1):91–97

    Article  Google Scholar 

  9. Dai Y, Jia Y (2001) Reliability of a VMC and its improvement. Reliab Eng Syst Safety 72(1):99–102

    Article  Google Scholar 

  10. Johansson KE (1981) Field monitoring of NC-machines — a system approach in innovation for maintenance technology improvements. In: Proceedings of the Society for Machinery Failure Prevention Group (MFPG) 33rd Meeting, April

  11. Saravanan S, Yadava GS, Rao PV (2004) Condition monitoring studies on a machine tool element. In: Proceedings of the 3rd International Conference on Advanced Manufacturing Technology (ICAMT 2004), Malaysia, 11–13 May, pp 300–306

  12. Serridge M (1989) Ten crucial concepts behind trustworthy fault detection in machine condition monitoring. In: Proceedings of the 1st International Machinery Monitoring and Diagnostic Conference and Exhibition, Nevada, 11–14 September, pp 722–727

  13. Tandon N (1994) A comparison of some vibration parameters for the condition monitoring of rolling element bearings. Measurement 12(3):285–289

    Article  Google Scholar 

  14. (1990) Section 3: metals test methods and analytical procedures, E61089a, standard terminology relating to acoustic emission. In: Annual Book of ASTM Standards, 03.03, pp 269–271

  15. Dornfeld D (1992) Application of acoustic emission techniques in manufacturing. NDTE Int 25(6):259–269

    Article  Google Scholar 

  16. Holroyd T J and Randall N (1993) Use of acoustic emission for machine condition monitoring. British J. of NDT, 35(2), 75–78.

    Google Scholar 

  17. Chiou RY, Liang SY (2000) Analysis of acoustic emission in chatter vibration with tool wear effect in turning. Int J Mach Tools Manuf 40(7):927–941

    Article  Google Scholar 

  18. Teti R, La Commare U (1992) Cutting conditions and work material state identification through acoustic emission methods. Ann CIRP 41(1):89–92

    Article  Google Scholar 

  19. Miettinen J, Andersson P (2000) Acoustic emission of rolling bearings lubricated with contaminated grease. Tribology Int 33(11):777–787

    Article  Google Scholar 

  20. Ai X (2001) Effect of debris contamination on the fatigue life of roller bearings. In: Proceedings of IMechE, Part J, J Eng Tribology 215:563–575

    Article  Google Scholar 

  21. Miettinen J, Andersson P, Wikström V (2001) Analysis of grease lubrication of a ball bearing using acoustic emission measurement. In: Proceedings of IMechE, Part J, J Eng Tribology 215(6):535–544

    Article  Google Scholar 

  22. Morhain A, Mba D (2003) Bearing defect diagnosis and acoustic emission. In: Proceedings of IMechE, Part J, J Eng Tribology 217(4):257–272

    Article  Google Scholar 

  23. Ho M, Birch DJ, Brunn PJ (2003) Bearing condition assessment, part 1: size and frequency of surface roughness interactions in impulsive vibration measurements. In: Proceedings of IMechE, Part J, J Eng Tribology 217(6):435–445

    Article  Google Scholar 

  24. Lin SC, Chang MF (1998) A study on the effects of vibrations on the surface finish using a surface topography simulation model for turning. Int J Mach Tools Manuf 38(7):763–782

    Article  MathSciNet  Google Scholar 

  25. Jang DY, Choi YG, Kim HG, Hsiao A (1996) Study of the correlation between surface roughness and cuttig vibrations to develop an online roughness measuring technique in hard turning. Int J Mach Tools Manuf 36(4):453–464

    Article  Google Scholar 

  26. Konczakowski A, Peklenik J (1984) Turning lathes condition monitoring based on the work piece surface spectral analysis. In: Proceedings of Condition Monitoring ’84, International Conference on Condition Monitoring, 10–13 April, Swansea, pp 279–292

  27. Raja J, Whitehouse DJ (1984) An investigation into the possibility of using surface profiles for machine tool surveillance. Int J Prod Res 22(3):453–466

    Article  Google Scholar 

  28. SKF (1975) General Catalogue, Catalogue 3000 E/GB 666, November, SKF

  29. Grieve DJ (2002) Manufacturing processes — MFRG 315 — 2.6 cutting tools. Available online at http://www.tech.plym.ac.uk/sme/mfrg315/cuttooll.htm, 22 October

  30. Su YT, Lin MH, Lee MS (1993) The effects of surface irregularities on roller bearing vibrations. J Sound Vibr 165(3):455–466

    Article  Google Scholar 

  31. Reeves CW (1998) Machine and systems condition monitoring series: the vibration monitoring handbook, first edition. Coxmoor Publishing Company, Oxford, UK

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Industrial Tribology, Machine Dynamics & Maintenance Engineering Centre (ITMMEC), Indian Institute of Technology, Delhi, Hauz Kahs, 110 016, New Dehli, India

    S. Saravanan & G. S. Yadava

  2. Mechanical Engineering Department, Indian Institute of Technology, Delhi, Hauz Khas, 110 016, New Delhi, India

    P. V. Rao

Authors
  1. S. Saravanan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. S. Yadava
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P. V. Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to G. S. Yadava.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Saravanan, S., Yadava, G.S. & Rao, P.V. Condition monitoring studies on spindle bearing of a lathe. Int J Adv Manuf Technol 28, 993–1005 (2006). https://doi.org/10.1007/s00170-004-2449-0

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-004-2449-0

Keywords

Search

Navigation