Evidence map›Paper›PMID 38473608›Full record

ArticleMaterials (Basel, Switzerland)2024

Parametric Design of Porous Structure and Optimal Porosity Gradient Distribution Based on Root-Shaped Implants.

Lijian Liu, Shaobo Ma, Yongkang Zhang, Shouxiao Zhu, Shuxuan Wu, Guang Liu, Guang Yang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Lijian LiuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Shaobo MaSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Yongkang ZhangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Shouxiao ZhuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Shuxuan WuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Guang LiuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Guang YangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Funding

the Hebei Provincial Department of Human Resources and Social Security, Hebei Province Three Talent Project Funding Project B20221004the Natural Science Foundation of Hebei Province, Beijing-Tianjin--Hebei Basic Research Cooperation Project H2022208073the Youth Fund Project of the Science and Technology Research Project of Colleges and universities in Hebei Province QN2024222
6 · The paper itself

Abstract

Porous structures can reduce the elastic modulus of implants, decrease stress shielding, and avoid bone loss in the alveolar bone and aseptic loosening of implants; however, there is a mismatch between yield strength and elastic modulus as well as biocompatibility problems. This study aimed to investigate the parametric design method of porous root-shaped implants to reduce the stress-shielding effect and improve the biocompatibility and long-term stability and effectiveness of the implants. Firstly, the porous structure part was parametrically designed, and the control of porosity gradient distribution was achieved by using the fitting relationship between porosity and bias and the position function of bias. In addition, the optimal distribution law of the porous structure was explored through mechanical and hydrodynamic analyses of the porous structure. Finally, the biomechanical properties were verified using simulated implant-bone tissue interface micromotion values. The results showed that the effects of marginal and central porosity on yield strength were linear, with the elastic modulus decreasing from 18.9 to 10.1 GPa in the range of 20-35% for marginal porosity, with a maximum decrease of 46.6%; the changes in the central porosity had a more consistent effect on the elastic modulus, ranging from 18.9 to 15.3 GPa in the range of 50-90%, with a maximum downward shift of 19%. The central porosity had a more significant effect on permeability, ranging from 1.9 × 10

Indexed as

parametric designporosity gradient distributionporous structureroot-shaped implants

Identifiers

PMID38473608
PMCPMC10934482

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.