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volume 233 pages 112274

Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant

Publication typeJournal Article
Publication date2023-09-01
scimago Q1
wos Q1
SJR1.727
CiteScore14.9
Impact factor7.9
ISSN02641275, 18734197
General Materials Science
Mechanical Engineering
Mechanics of Materials
Abstract
This study utilizes the Taguchi method and sub-model analysis technique to create a novel optimization lattice for the hypo-loading region. The lattice is designed to mimic the mechanical properties of bone and promote the growth of immature bone under appropriate loading to enhance the osseointegration capacity of implants. The Maxillary lattice implant (ML implant) was developed to address the case of Maxillary antral carcinoma. The implant's structural parameters, including Angle of rotation (A), Concave angle (B), Pillar diameter (C), and Fillet radius (D), were analyzed to design and optimize the Hypo-Loading lattice (HL lattice) with various structures. Through the analysis, the optimal structural parameters for the HL lattice were determined, resulting in the creation of the Optimal HL lattice with exceptional Elastic Admissible Strain (EAS), a comparable elastic modulus to bone, and outstanding mechanical robustness. This feature of the Optimal HL lattice improves the bionic performance.
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Wang Yu. T., Hsu C. Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant // Materials and Design. 2023. Vol. 233. p. 112274.
GOST all authors (up to 50) Copy
Wang Yu. T., Hsu C. Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant // Materials and Design. 2023. Vol. 233. p. 112274.
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RIS Copy
TY - JOUR
DO - 10.1016/j.matdes.2023.112274
UR - https://doi.org/10.1016/j.matdes.2023.112274
TI - Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant
T2 - Materials and Design
AU - Wang, Yu Tzu
AU - Hsu, Che-Kai
PY - 2023
DA - 2023/09/01
PB - Elsevier
SP - 112274
VL - 233
SN - 0264-1275
SN - 1873-4197
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Wang,
author = {Yu Tzu Wang and Che-Kai Hsu},
title = {Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant},
journal = {Materials and Design},
year = {2023},
volume = {233},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.matdes.2023.112274},
pages = {112274},
doi = {10.1016/j.matdes.2023.112274}
}