Dental Materials
Volume 25, Issue 3 , Pages 348-352 , March 2009

Approach for valuating the influence of laboratory simulation

  • Martin Rosentritt

      Affiliations

    • Department of Prosthetic Dentistry, Regensburg University Medical Center, Regensburg D-93042, Germany
    • Corresponding Author InformationCorresponding author. Tel.: +49 941 944 6054; fax: +49 941 944 6171.
    • ,
  • Michael Behr

      Affiliations

    • Department of Prosthetic Dentistry, Regensburg University Medical Center, Regensburg D-93042, Germany
    • ,
  • Jef M. van der Zel

      Affiliations

    • Department of Dental Materials Science, Academic Centre for Dentistry, Universiteit van Amsterdam and Vrije Universiteit, The Netherlands
    • ,
  • Albert J. Feilzer

      Affiliations

    • Department of Dental Materials Science, Academic Centre for Dentistry, Universiteit van Amsterdam and Vrije Universiteit, The Netherlands

Received 18 April 2007 ,Revised 1 August 2008 ,Accepted 7 August 2008.

References 

  1. Hickel R, Roulet JF, Bayne S, Heintze SD, Mjor IA, Peters M, et al. Recommendations for conducting controlled clinical studies of dental restorative materials. Clin Oral Invest. 2007;Ahead of print
  2. De Jager N, Pallav P, Feilzer AJ. The influence of design parameters on the FEA-determined stress distribution in CAD–CAM produced all-ceramic dental crowns. Dent Mater. 2005;21(3):242–251
  3. Behr M, Hindelang U, Rosentritt M, Lang R, Handel G. Comparison of failure rates of adhesive-fixed partial dentures for in vivo and in vitro studies. Clin Oral Invest. 2000;4(1):25–30
  4. DeLong R, Douglas WH. An artificial oral environment for testing dental materials. IEEE Trans Biomed Eng. 1991;38:339–345
  5. DeLong R, Douglas WH. Development of an artificial oral environment for testing of dental restoratives: bi-axial force and movement control. J Dent Res. 1983;62(1):32–36
  6. Krejci I, Reich T, Lutz F, Albertoni M. In vitro Testverfahren zur Evaluation dentaler Restaurationssysteme. Schweiz Monatschr Zahnmed. 1990;100:953–960
  7. Teoh S, Ong LFKL, Yap AUJ, Hastings GW. Bruxing-type dental wear simulator for ranking of dental restorative materials. J Biomed Mater Res (Appl Biomater). 1998;43:175–183
  8. Rosentritt M, Leibrock A, Lang R, Behr M, Scharnagl P, Handel G. Apparatur zur Simulation des Kausorgans (Regensburger Kausimulator). Materialprüfung. 1997;39:77–80
  9. Condon J, Ferracane JL. Evaluation of composite wear with a new multi-mode oral wear simulator. Dent Mater. 1996;12:218–226
  10. De Gee A, Pallav P. Occlusal wear simulation with the ACTA wear machine. J Dent Suppl. 1994;22(1):21–27
  11. Rosentritt M, Behr M, Gebhard R, Handel G. Influence of stress simulation parameters on the fracture strength of all-ceramic fixed-partial dentures. Dent Mater. 2006;22(2):176–182
  12. Hidaka O, Iwasaki M, Saito M, Morimoto T. Influence of clenching intensity on bite force balance, occlusal contact area, and average bite pressure. J Dent Res. 1999;78:1336–1433
  13. Korioth T, Waldron TW, Versluis A, Schulte JK. Forces and moments generated at the dental incisors during forcefull biting in humans. J Biomech. 1997;30:631–633
  14. de Gee A, Pallav P, Davidson CL. Effect of abrasion medium on wear of stree-bearing composites and amalgam in vitro. J Dent Res. 1986;65(5):654–658
  15. Goodacre C, Rungcharassaeng K, Kann JY. Clinical complications in fixed prosthodontics. J Prosthet Dent. 2003;90:31–41
  16. Vult von Steyern P, Carlson P, Nilner K. All-ceramic fixed partial dentures designed according to the DC-Zirkon technique. A 2-year clinical study. J Oral Rehabil. 2005;32(3):180–187
  17. Pospiech P, Nothdurft FP. Long-term behaviour of zirconia-based bridges: three years results. IADR. 2004;#230
  18. Bornemann G, Rinke S, Huels A. Prospective clinical trial with conventionally luted zirconia-based fiexed partial dentures: 18-month results. IADR/CED. 2003;#842
  19. Sailer I, Lüthy H, Feher A, Schumacher M, Schärer P. Hammerle CHF 3-year clinical results of zirconia posterior fixed partial dentures made by direct ceramic matching (DCM). IADR/CED. 2003;#74
  20. Sundarapandian V. New results on the parametric stability of nonlinear systems. Math Comput Model. 2005;43:9–15
  21. Fleming R, Harrington DP. A class of hypothesis tests for one and two sample censored survival data. Commun Stat A. 1981;13:2469–2486
  22. Kouikoglou V, Phillis VS, Yannis A. Simul Models Prod Netw. 2001;206–210
  23. Aboushelib MN, de Jager N, Kleverlaan CJ, Feilzer AJ. Microtensile bond strength of different components of core veneered all-ceramic restorations. Dent Mater. 2005;21(10):984–991
  24. Aboushelib MN, Kleverlaan CJ, Feilzer AJ. Microtensile bond strength of different components of core veneered all-ceramic restorations. Part II Zirconia veneering ceramics. Dent Mater. 2006;22(9):857–863
  25. Studart AR, Filser F, Kocher P, Luthy H, Gauckler LJ. Cyclic fatigue in water of veneer-framework composites for all-ceramic dental bridges. Dent Mater. 2007;23(2):177–185
  26. Deville S, Gremillard L, Chevalier J, Fantozzi G. A critical comparison of methods for the determination of the aging sensitivity in biomedical grade yttria-stabilized zirconia. J Biomed Mat Res. Part B: Appl Biomat. 2005;72(2):239–245
  27. Waltimo A, Kononen M. Maximal bite force and its association with signs and symptoms of craniomandibular disorders in young Finnish non-patients. Acta Odont Scand. 1995;53(4):254–258

PII: S0109-5641(08)00215-7

doi: 10.1016/j.dental.2008.08.009

Dental Materials
Volume 25, Issue 3 , Pages 348-352 , March 2009

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