A literature review on the linear elastic material properties assigned in finite element analyses in dental research

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Celik H. K., KOÇ S., KUŞTARCI A., Rennie A. E. W.

MATERIALS TODAY COMMUNICATIONS, cilt.30, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 30
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.mtcomm.2021.103087
  • Dergi Adı: MATERIALS TODAY COMMUNICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Finite element analysis, Finite element study, Mechanical properties, Tooth, Teeth, Dental, MAXILLARY CENTRAL INCISORS, ENDODONTICALLY TREATED TEETH, FIXED PARTIAL DENTURES, FIBER-REINFORCED COMPOSITE, ALVEOLAR BONE LOSS, STRESS-DISTRIBUTION, PERIODONTAL-LIGAMENT, BIOMECHANICAL BEHAVIOR, MECHANICAL-PROPERTIES, CORTICAL BONE
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Introduction: Finite element analysis (FEA) is a numerical procedure utilised in the engineering analysis of structures and is one of the most common numerical methods utilised in many research activities in dentistry such as implantology, prosthodontics and restoration. FEA can be considered a useful tool in order to describe the deformation aspects of dental components that cannot be measured easily by in vivo models. The geometry, material properties, finite element model (mesh structure) and boundary conditions defined for a particular FEA setup are the factors affecting the accuracy of the results of a FEA. Most especially, material models employed in FEA play a critical role, however, the literature cannot provide standard material models and data in agreement to be defined in the FEA studies handled specifically for human teeth. The aim of this study is reviewing the most utilised data related to material properties (limited to linear homogeneous isotropic material model) of the tooth components, evaluate the sources and reasons for the different values defined in dental research and provide filtered material data which can be utilised in related FEA studies.