Open Access
Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant
Publication type: Journal Article
Publication date: 2023-09-01
scimago Q1
wos Q1
SJR: 1.727
CiteScore: 14.9
Impact factor: 7.9
ISSN: 02641275, 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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Citations from 2024:
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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.
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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.
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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 -
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@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}
}