Data – Calibration of aseptic loosening simulation for coatings osteoinductive effect

Baroni, Sofia (2024) Data – Calibration of aseptic loosening simulation for coatings osteoinductive effect. University of Bologna. DOI 10.6092/unibo/amsacta/7813. [Dataset]
Full text available as:
[thumbnail of FEM_InputOutputDataset] Archive (FEM_InputOutputDataset)
License: Creative Commons: Attribution 4.0 (CC BY 4.0)

Download (2MB)
[thumbnail of FEM_InputOutput _README] Text(rtf) (FEM_InputOutput _README)
License: Creative Commons: Attribution 4.0 (CC BY 4.0)

Download (74kB)

Abstract

The dataset contains a comprehensive set of input and output parameters, featuring 43 distinct parameter combinations utilised in the finite element (FE) analysis reported in the linked paper (DOI: 10.1007/s10439-024-03588-9). It includes measures from the in vivo experiment, such as initial Bone-to-Implant Contact (BIC) percentage and gap values for cylindrical titanium alloys implanted in rabbits’ tibiae, the different maximum bridgeable gap values used for model calibration, and the final BIC% obtained as a FE analysis output. Moreover, the dataset contains the other parameters used in the simulations within the range of values documented in the literature. Then, the push-out strength in the different scenarios was estimated.

Abstract
Document type
Dataset
Creators
CreatorsAffiliationORCID
Baroni, SofiaDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT)0009-0009-6541-9914
Subjects
DOI
Contributors
Name
Affiliation
ORCID
Type
Oliviero, Sara
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT)
Researcher
La Mattina, Antonino Amedeo
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Researcher
Viceconti, Marco
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Supervisor
Deposit date
01 Aug 2024 08:12
Last modified
01 Aug 2024 09:28
Related identifier
Related identifier type
Relation type
Code
DOI
this upload is supplement to
Project name
ISW - In Silico World: Lowering barriers to ubiquitous adoption of In Silico Trials
Funding program
EC - H2020
URI

Other metadata

Downloads

Downloads

Staff only: View the document

^