Improved single- and multi-contact life-time testing of dental restorative materials using key characteristics of the human masticatory system and a force/position-controlled robotic dental wear simulator.

This paper presents a new in vitro wear simulator based on spatial parallel kinematics and a biologically inspired implicit force/position hybrid controller to replicate chewing movements and dental wear formations on dental components, such as crowns, bridges or a full set of teeth. The human mandible, guided by passive structures such as posterior teeth and the two temporomandibular joints, moves with up to 6 degrees of freedom (DOF) in Cartesian space. The currently available wear simulators lack the ability to perform these chewing movements. In many cases, their lack of sufficient DOF enables them only to replicate the sliding motion of a single occlusal contact point by neglecting rotational movements and the motion along one Cartesian axis. The motion and forces of more than one occlusal contact points cannot accurately be replicated by these instruments. Furthermore, the majority of wear simulators are unable to control simultaneously the main wear-affecting parameters, considering abrasive mechanical wear, which are the occlusal sliding motion and bite forces in the constraint contact phase of the human chewing cycle. It has been shown that such discrepancies between the true in vivo and the simulated in vitro condition influence the outcome and the quality of wear studies. This can be improved by implementing biological features of the human masticatory system such as tooth compliance realized through the passive action of the periodontal ligament and active bite force control realized though the central nervous system using feedback from periodontal preceptors. The simulator described in this paper can be used for single- and multi-occlusal contact testing due to its kinematics and ability to exactly replicate human translational and rotational mandibular movements with up to 6 DOF without neglecting movements along or around the three Cartesian axes. Recorded human mandibular motion and occlusal force data are the reference inputs of the simulator. Experimental studies of wear using this simulator demonstrate that integrating the biological feature of combined force/position hybrid control in dental material testing improves the linearity and reduces the variability of results. In addition, it has been shown that present biaxially operated dental wear simulators are likely to provide misleading results in comparative in vitro/in vivo one-contact studies due to neglecting the occlusal sliding motion in one plane which could introduce an error of up to 49% since occlusal sliding motion D and volumetric wear loss V(loss) are proportional.

[1]  J. Archard,et al.  The wear of metals under unlubricated conditions , 1956, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[2]  J. Robert Kelly,et al.  CERAMICS IN RESTORATIVE AND PROSTHETIC DENTISTRY 1 , 1997 .

[3]  F. Pera,et al.  Robotic chewing simulator for dental materials testing on a sensor-equipped implant setup. , 2008, The International journal of prosthodontics.

[4]  S. Heintze How to qualify and validate wear simulation devices and methods. , 2006, Dental materials : official publication of the Academy of Dental Materials.

[5]  L. Gallo,et al.  Description of Mandibular Finite Helical Axis Pathways in Asymptomatic Subjects , 1997, Journal of dental research.

[6]  K. Nishigawa,et al.  Quantitative study of bite force during sleep associated bruxism. , 2001, Journal of oral rehabilitation.

[7]  P M Marquis,et al.  Wear of three dental composites under different testing conditions. , 2002, Journal of oral rehabilitation.

[8]  C. Gibbs,et al.  Study of gliding tooth contacts during mastication. , 1976, Journal of periodontology.

[9]  J. Hodges,et al.  Helical Axis Errors Affect Computer-generated Occlusal Contacts , 2002, Journal of dental research.

[10]  R L Erickson,et al.  The Influence of Admixing Microfiller to Small-particle Composite Resin on Wear, Tensile Strength, Hardness, and Surface Roughness , 1989, Journal of dental research.

[11]  Philippe Martinet,et al.  A Review on the Dynamic Control of Parallel Kinematic Machines: Theory and Experiments , 2009, Int. J. Robotics Res..

[12]  K. Kohyama,et al.  Effect of sample thickness on bite force studied with a multiple-point sheet sensor. , 2004, Journal of oral rehabilitation.

[13]  G. Zappini,et al.  The relationship between physical parameters and wear of dental composites , 2007 .

[14]  S D Heintze,et al.  Wear of ten dental restorative materials in five wear simulators--results of a round robin test. , 2005, Dental materials : official publication of the Academy of Dental Materials.

[15]  J. Ahlgren,et al.  Muscular activity and chewing force: a polygraphic study of human mandibular movements. , 1970, Archives of oral biology.

[16]  Vladimir M. Zatsiorsky Kinematics of human motion , 1998 .

[17]  K. Alemzadeh,et al.  Prototyping Artificial Jaws for the Bristol Dento-Munch Robo-Simulator; `A parallel robot to test dental components and materials' , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[18]  E. Tanaka,et al.  In vivo measurement of the elastic modulus of the human periodontal ligament. , 2001, Medical engineering & physics.

[19]  R. Shinkai,et al.  Bruxism and voluntary maximal bite force in young dentate adults. , 2005, The International journal of prosthodontics.

[20]  Massimo Callegari,et al.  Dynamics modelling and control of the 3-RCC translational platform , 2006 .

[21]  Ralph DeLong,et al.  Intra-oral restorative materials wear: rethinking the current approaches: how to measure wear. , 2006, Dental materials : official publication of the Academy of Dental Materials.

[22]  L M Gallo,et al.  Analysis of human mandibular mechanics based on screw theory and in vivo data. , 2004, Journal of biomechanics.

[23]  Archard wear and component geometry , 2001 .

[24]  P. Lambrechts,et al.  How to simulate wear? Overview of existing methods. , 2006, Dental materials : official publication of the Academy of Dental Materials.

[25]  J H Koolstra,et al.  Functional significance of the coupling between head and jaw movements. , 2004, Journal of biomechanics.

[26]  K. Alemzadeh,et al.  Capturing motions and forces of the human masticatory system to replicate chewing and to perform dental wear experiments , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).

[27]  T. van Eijden,et al.  Contribution of Jaw Muscle Size and Craniofacial Morphology to Human Bite Force Magnitude , 1999, Journal of dental research.

[28]  UNCONFINED COMPRESSION OF THE PERIODONTAL LIGAMENT, INTERVERTEBRAL DISC, ARTICULAR CARTILAGE AND OTHER PERMEABLE DEFORMABLE TISSUES: A POROELASTIC ANALYSIS , 1999 .

[29]  J. Abbink,et al.  Oral physiology and mastication , 2006, Physiology & Behavior.

[30]  Jean-Pierre Merlet,et al.  Designing a Parallel Manipulator for a Specific Workspace , 1997, Int. J. Robotics Res..

[31]  V. Ferrario,et al.  Single tooth bite forces in healthy young adults. , 2004, Journal of oral rehabilitation.

[32]  A. Takanishi,et al.  Development of 3 DOF jaw robot WJ-2 as a human's mastication simulator , 1991, Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments.

[33]  K. Alemzadeh,et al.  The chewing robot: A new biologically-inspired way to evaluate dental restorative materials , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[34]  T. van Eijden,et al.  Mammalian Feeding Motor Patterns1 , 2001 .

[35]  R. DeLong,et al.  An artificial oral environment for testing dental materials , 1991, IEEE Transactions on Biomedical Engineering.

[36]  J. H. Koolstra Dynamics of the human masticatory system. , 2002, Critical reviews in oral biology and medicine : an official publication of the American Association of Oral Biologists.

[37]  S. Roatta,et al.  Objective assessment of mandibular motor control using a 'reach-and-hold' task. , 2011, Journal of oral rehabilitation.

[38]  Toyoko Satsuma,et al.  Development of a novel articulator that reproduced jaw movement with six-degree-of-freedom. , 2007, Medical engineering & physics.

[39]  J. H. Koolstra,et al.  A three-dimensional mathematical model of the human masticatory system predicting maximum possible bite forces. , 1988, Journal of biomechanics.

[40]  P. Pallav,et al.  Occlusal wear simulation with the ACTA wear machine. , 1994, Journal of dentistry.

[41]  Iwan W. Griffiths Principles of Biomechanics & Motion Analysis , 2005 .

[42]  Atsuo Takanishi,et al.  Mouth opening and closing training with 6-DOF parallel robot , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[43]  D. Stewart A Platform with Six Degrees of Freedom , 1965 .