Skip to main content
SpringerLink
Log in

Design of material removal rate to reduce machining time of dental crown

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

Freeform surface grinding is one of the commonly used dental medical manufacturing processes. In dentistry machining, zirconia is one of main workpieces used for artificial teeth. Machining process for grinding of the ceramic usually takes a long time. In order to reduce this production time, it is critical to apply proper grinding parameters while maintaining high quality of machined artificial teeth. Required material removal rate (MRR) for workpiece can be used to determine the grinding parameters. However, it has been hard to find grinding parameters achieving a proper MRR of complex 3D models like as human teeth. In this study, MRR is predicted by using geometric data in the engagement region between machining bur and its workpiece while the MRR varies all along the tool path. Simulations of the machining time shows that the machining time can be reduced by adjusting the bur’s feed rate to maintain the predicted MRR.

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

Reference

  1. L. A. Dobrzański and Ł. Reimann, Digitization procedure of creating 3D model of dental bridgework reconstruction, J. Achiev. Mater. Manuf. Eng., 55 (2012) 469–476.

    Google Scholar 

  2. N. Lebon, L. Tapie, E. Vennat and B. Mawussi, Influence of CAD/CAM tool and material on tool wear and roughness of dental prostheses after milling, J. Prosthet. Dent., 114 (2015) 236–247.

    Article  Google Scholar 

  3. L. Wang and L. Wang, Denture feature modeling and processing by reverse engineering technology a case study, Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC) (2013) 3148–3151.

    Chapter  Google Scholar 

  4. T. Miyazaki, Y. Hotta, J. Kunii, S. Kuriyama and Y. Tamaki, A review of dental CAD/CAM: current status and future perspectives from 20 years of experience, Dent. Mater. J., 28 (2009) 44–56.

    Article  Google Scholar 

  5. P. F. Manicone, P. R. Iommetti and L. Raffaelli, An over view of zirconia ceramics: Basic properties and clinical applications, J. Dent., 35 (2007) 819–826.

    Article  Google Scholar 

  6. I. Denry and J. R. Kelly, State of the art of zirconia for dental applications, Dent. Mater., 24 (2008) 299–307.

    Article  Google Scholar 

  7. T. Miyazaki, T. Nakamura, H. Matsumura, S. Ban and T. Kobayashi, Current status of zirconia restoration, J. Prosthodont. Res., 57 (2013) 236–261.

    Article  Google Scholar 

  8. S. Malkin and T. W. Hwang, Grinding mechanisms for ceramics, CIRP Ann. - Manuf. Technol., 45 (1996) 569–580.

    Article  Google Scholar 

  9. J. E. Mayer and G. P. Fang, Effect of grinding parameters on surface finish of ground ceramics, CIRP Ann. - Manuf. Technol., 44 (1995) 279–282.

    Article  Google Scholar 

  10. Y. J. Zhan, Y. Li, H. Huang and X. P. Xu, Energy and material removal mechanisms for the grinding of cemented carbide with brazed diamond wheels, Solid State Phenom., 175 (2011) 58–66.

    Article  Google Scholar 

  11. J. Chen, J. Shen, H. Huang and X. Xu, Grinding character istics in high speed grinding of engineering ceramics with brazed diamond wheels, J. Mater. Process. Technol., 210 (2010) 899–906.

    Article  Google Scholar 

  12. L. T. Tunc and E. Budak, Extraction of 5-axis milling con ditions from CAM data for process simulation, Int. J. Adv. Manuf. Technol., 43 (2009) 538–550.

    Article  Google Scholar 

  13. H. Erdim and A. Sullivan, High accuracy computation of geometric properties of cutter workpiece intersection using distance fields for NC milling, Procedia CIRP, 4 (2012) 84–89.

    Article  Google Scholar 

  14. A. Sullivan, H. Erdim, R. N. Perry and S. F. Frisken, High accuracy NC milling simulation using composite adaptively sampled distance fields, Comput. Des., 44 (2012) 522–536.

    Google Scholar 

  15. S. J. Wou, Y. C. Shin and H. El-Mounayri, Ball end milling mechanistic model based on a voxel-based geometric representation and a ray casting technique, J. Manuf. Process., 15 (2013) 338–347.

    Article  Google Scholar 

  16. H. Erdim and A. Sullivan, Cutter workpiece engagement calculations for five-axis milling using composite adaptively sampled distance fields, Procedia CIRP, 8 (2013) 438–443.

    Article  Google Scholar 

  17. E. Aras and A. Albedah, Extracting cutter/workpiece engagements in five-axis milling using solid modeler, Int. J. Adv. Manuf. Technol., 73 (2014) 1351–1362.

    Article  Google Scholar 

  18. Y. Boz, H. Erdim and I. Lazoglu, A comparison of solid model and three-orthogonal dexelfield methods for cutter-workpiece engagement calculations in three- and five-axis virtual milling, Int. J. Adv. Manuf. Technol., 81 (2015) 811–823.

    Article  Google Scholar 

  19. X. Gong and H. Y. Feng, Cutter-workpiece engagement determination for general milling using triangle mesh modeling, J. Comput. Des. Eng., 3 (2016) 151–160.

    Google Scholar 

  20. E. Bagci and E. U. Yüncüoğlu, The effects of milling strategies on forces, material removal rate, tool deflection, and surface errors for the rough machining of complex surfaces, Stroj. Vestnik/Journal Mech. Eng., 63 (2017) 643–656.

    Article  Google Scholar 

  21. J. Stori and P. Wright, Constant engagement tool path generation for convex geometries, J. Manuf. Syst., 19 (2000) 172–184.

    Article  Google Scholar 

  22. M. Tolouei-rad, Efficient CNC milling by adjusting material removal rate, Eng. Technol., 5 (2011) 342–346.

    Google Scholar 

  23. H. S. Park, B. Qi, D. V. Dang and D. Y. Park, Development of smart machining system for optimizing feedrates to minimize machining time, J. Comput. Des. Eng., 5 (2018) 299–304.

    Google Scholar 

  24. S. E. Layegh K., H. Erdim and I. Lazoglu, Offline force control and feedrate scheduling for complex free form surfaces in 5-axis milling, Procedia CIRP, 1 (2012) 96–101.

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by DDS, Inc., in Seoul, Korea. In part, this work is also supported by Priority Research Program (NRF-2018R1A6A1A03025526) through National Research Foundation of Korea (NRF) under Ministry of Education, Science, and Technology.

Author information

Authors and Affiliations

  1. School of Mechatronics Engineering, Korea University of Technology and Education, Cheonan, Korea

    Sangbeom Nam & Byungki Kim

Authors
  1. Sangbeom Nam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Byungki Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Byungki Kim.

Additional information

Recommended by Associate Editor Yongho Jeon

Sangbeom Nam received his M.S. from School of Mechatronics Engineering, Korea University of Technology and Education in 2019, where he is also in seeking of his Ph.D. His research interests include machining of materials, dental crown machining and application.

Byungki Kim received the B.S. degree from Yonsei University, the M.S. degree from KAIST, South Korea, and the Ph.D. degree from the Georgia Institute of Technology, Atlanta, GA, USA, all in mechanical engineering. He was an Assistant Professor of Mechanical Engineering with the University of Massachusetts, Lowell, MA, USA. He is currently an Associate Professor of Mechatronics Engineering with the Korea University of Technology and Education. His research interest includes nanocomposites, smart materials, and micro systems.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nam, S., Kim, B. Design of material removal rate to reduce machining time of dental crown. J Mech Sci Technol 33, 3423–3434 (2019). https://doi.org/10.1007/s12206-019-0637-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-019-0637-y

Keywords

Search

Navigation