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Proceedings/Recueil Des Communications Année : 2018

A computer-aided tool to predict dental crown prosthesis surface integrity after milling

Résumé

Introduction: Various pathologies (caries, fractures, fluorosis, and hypo-mineralization of enamel) lead to the rehabilitation of teeth with dental prostheses. Nowadays, prostheses can be manufactured from prefabricated biomaterial raw blocks, which are milled with a computer-aided design/computer-aided manufacturing (CAD/CAM) numerical chain [5]. The major challenge in restorative dentistry is to manufacture dental crown prostheses which are able to rehabilitate the tooth in order to fulfil functional performance and aesthetic requirements. The milling process generates a characteristic signature on the prosthesis shape called surface integrity (SI) [3],[6],[7]. The residual SI after milling, not well understood in restorative dentistry, influences several requirements of the prosthesis surface such as aesthetics, biological response and mechanical behavior. Moreover, for each requirement, a specific SI might be manufactured in different anatomical area of the prosthesis. The concept of SI represents a new and preferential approach to characterize the surface and sub-surface properties regard to the functional requirement of prosthesis. SI analysis provides a comprehensive evaluation of the surface and its impact on the performance of the prosthesis [4]. The main difficulty for prosthesis manufacturers is to integrate the different expected SI during CAM process and particularly to choose the milling process parameters in accordance with prosthesis functionalities. The generation of a desired SI is still an iterative process based on experimental results capitalization. This inverse problem shall be addressed by a new approach focusing on the prediction of the milling process signature on the CAD model of the prosthesis shape. The concept of process signature, which aggregate information on surface modifications caused by the milling to which a material is subjected to, on different levels of scale, are a promising strategy to achieve a knowledge-based solution of the inverse SI problem [2]. This paper aims at providing a computer-aided tool to help prosthesis manufacturers to choose milling process parameters according to the expected SI after milling. Since roughness is a SI fundamental component of the prosthesis functionalities characterization, SI study is focused on roughness in this paper.
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hal-02090771 , version 1 (19-03-2020)

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Nicolas Lebon, Laurent Tapie, Elsa Vennat, Bernardin Mawussi. A computer-aided tool to predict dental crown prosthesis surface integrity after milling. pp.231-235, 2018, ⟨10.14733/cadconfP.2018.231-235⟩. ⟨hal-02090771⟩
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