Skip to main content
SpringerLink
Log in

Workpiece representation for virtual turning

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

Abstract

In order to stay competitive with international markets, companies must deliver new products with higher quality in a shorter time with a broader variety of versions at minimum costs. Virtual manufacturing (VM) is quickly becoming an interesting strategy for product development. Primarily aimed at reducing the lead times to market and costs associated with new product development, VM offers a test-bed for the time-consuming and expensive physical experimentation. In this paper, several key issues for developing a virtual turning test-bed by using virtual manufacturing technology are discussed, i.e., representation of a workpiece with the capability of transferring error data used for machining accuracy prediction and reflecting the machining accuracy, representation of the swept volume of a tool for simulating turning process with high efficiency. The construction of surface topography, a basic model for machining accuracy prediction is also highlighted. The representations and relevant algorithms discussed in this paper are implemented in a virtual turning test-bed. A virtual machining and inspection system (VMIS) for ultra-precision diamond turning is presented and experiments are carried out to demonstrate it.

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

References

  1. Tansel IN (1990) Simulation of turning operations. Int J Mach Tools Manuf 30(4):537–547

    Google Scholar 

  2. Ge Y, Jiang Z, Wang Q (1999) Generation of virtual NC turning graphs based on ray tracing. J Image Graph 4(A):28–32

    Google Scholar 

  3. Kelly K, Young P, Byrne G (1999) Modelling the influence of machining dynamics on surface topography in turning. Int J Mech Sci 41(4–5):507–526

    Google Scholar 

  4. Cheung CF, Lee WB (2000) Modelling and simulation of surface topography in ultra-precision in diamond turning. Proceedings, Institute of Mechanical Engineers, Part B. J Eng Manuf 214(6):463–480

    Google Scholar 

  5. Imani M, Sadeghu MH, Elbestawi MA (1998) An improved process system for ball-end milling of sculptured surface. Int J Mach Tools Manuf 38:1089–1107

    Google Scholar 

  6. Iqbal M, Hashmi MSJ (1999) Application of virtual reality for the training of engineering personnel. Proceedings, International Conference on Advances in Material and Process Technologies (AMPT’99) and 16th Annual Conference of the Irish Manufacturing Committee (IMC’16), Dublin, Ireland, pp 1959–1965, 3–6 August 1999

  7. Li J, Yao Y (2000) Workpiece modeling and representation in virtual manufacturing. Comput Integr Manuf Syst 6(1):54–59

    Google Scholar 

  8. Zhang D-T, Chen J-G (1993) NC lathe simulator for part programming and machine operation training. Comput Ind 21(2):139–148

    Google Scholar 

  9. Qing L, Zhang CW, Ben HP (1997) Form-accuracy analysis and prediction in computer-integrated manufacturing. Int J Mach Tools Manuf 37(3):237–248

    Google Scholar 

  10. Castillo-Castañeda E, Okazaki YM (1998) Load variation compensation in real-time for motion accuracy of machine tools. Proceedings, 5th International Workshop on Advanced Motion Control, AMC’98-Coimbra, pp 305–309

  11. Acosta C, Swittek W, Garcia E (1997) Dynamic modeling in turning machining. Comput Ind Eng 33(1–2):397–400

    Google Scholar 

  12. Yang J, Yuan J, Jun N (1999) Thermal error mode analysis and robust modeling for error compensation on a CNC turning center. Int J Mach Tools Manuf 39, pp 1367–1381

    Google Scholar 

  13. Fei J, Jawahir IS (1992) A fuzzy knowledge-based system for predicting surface roughness in finish turning. IEEE International Conference on Fuzzy Systems, pp 899–906

  14. 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, pp 763–782

    Google Scholar 

  15. Cheung CF, Lee WB (2001) A framework of a virtual machining and inspection system for diamond turning of precision optics. J Mater Process Technol 113(1):1–14

    Google Scholar 

  16. Wingbun L, Jianguang L, Chifai C (2001) Research on the development of a virtual precision machining system. Chin J Mech Eng 37(6):68–73

    Google Scholar 

  17. Ikawa N, Donaldson RR, Komanduri R, König W,et al. (1991) Ultra-precision metal cutting — the past, the present and the future. Ann CIRP 40(1):587–594

    Google Scholar 

  18. Cheung CF, Lee WB, Chiu WM, Leung TP (1998) An investigation of residual form error compensation in ultra-precision machining. Proceedings, Symposium on Nano-metrology in Precision Engineering, Hong Kong, pp 95–102, 24–25 November 1998

  19. Lee WB, Cheung CF (2001) A dynamic surface topography model for the prediction of nano-surface generation in ultra-precision machining. Int J Mech Sci 43:961–991

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin, P.R. China

    J.G. Li & Y.X. Yao

  2. Dept of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong

    J.G. Li, W.B. Lee, C.F. Cheung & S. To

Authors
  1. J.G. Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y.X. Yao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J.G. Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. W.B. Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. C.F. Cheung
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. S. To
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to J.G. Li.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, J., Yao, Y., Li, J. et al. Workpiece representation for virtual turning. Int J Adv Manuf Technol 25, 857–866 (2005). https://doi.org/10.1007/s00170-003-1919-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-003-1919-0

Keywords

Search

Navigation