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Details of Grant 

EPSRC Reference: GR/S95589/01
Title: Multiscale simulation of reactivity & biocompatibility ot titanium prostheses
Principal Investigator: Curtis, Dr R
Other Investigators:
Di Silvio, Professor L Lee, Professor P
Researcher Co-Investigators:
Dr R C Atwood
Project Partners:
Department: Restorative Dentistry
Organisation: Kings College London
Scheme: Postdoctoral Mobility PreFEC
Starts: 01 October 2004 Ends: 30 September 2005 Value (£): 75,285
EPSRC Research Topic Classifications:
Biomaterials
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
This Postdoctoral Mobility between Disciplines study will exchange knowledge between Materials Engineering, Implant Prosthodontics and Cellular Biology. A multiscale, multiphysics model originally developed for automotive and aerospace applications will be applied to the modelling of dental and maxillofacial prosthesis fabrication. As new manufacturing processes are developed and explored for the fabrication of implantable prostheses, difficulties may arise due to the very sensitive nature of the implant environment. By simulating the manufacturing process, such difficulties as nonuniformities in the internal stresses, contamination with impurities, and microstructural defects may be anticipated. In order to bring the process through to the final stage, a model of the complex environment in which the prosthesis is used will be developed. This will aim to assess problems originating in the manufacturing process that may affect the biocompatibility of the final device. In order to encourage postdoctoral mobility, a Materials Science research associate will undertake to obtain experimental results in implant biocompatibility in order to develop computational models for titanium implant fabrication and behaviour. This will involve characterization of the implant materials and the use of computational models developed by the RA, and cell culture techniques for assessing biocompatibility in vitro. The results of these studies will be used to develop relationships to form the basis of the modelling.
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