An FEA Analysis of Nano-Silica Reinforced Chitosan Based Dental Implant Under Dynamic Loading

IF 2.8 3区 材料科学 Q3 CHEMISTRY, PHYSICAL
Silicon Pub Date : 2024-09-16 DOI:10.1007/s12633-024-03133-2
Sambhrant Srivastava, Saroj Kumar Sarangi, Savendra Pratap Singh
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引用次数: 0

Abstract

This study investigates the impact of different materials and dental implant-abutment interface models on bone shielding effects, micro-gap formation, and torque loss in abutment screws. Von-Misses stress analysis identifies the MTC model as exhibiting maximum stress transfer for titanium alloy and CFR-PEEK, while the IHC model dominates for C2 bio-composite dental implants. Although material type has minimal influence on stress shielding, the implant-abutment interface model proves crucial. Micro-gap analysis reveals the Optimized dental implant consistently displaying minimal micro-gaps across materials, while the NLD model consistently exhibits maximum micro-gaps. Both material type and interface model significantly influence micro-gap formation. Torque loss in abutment screws varies, with the MTC model consistently experiencing high torque loss and IHC showing minimal loss. The study underscores the importance of considering material properties and interface models in dental implant design, offering valuable insights for the development of reliable dental prosthetics.

基于纳米二氧化硅的壳聚糖牙科植入物在动态载荷下的有限元分析
本研究探讨了不同材料和牙科种植体-基台界面模型对骨屏蔽效应、微间隙形成和基台螺钉扭矩损失的影响。Von-Misses 应力分析表明,MTC 模型对钛合金和 CFR-PEEK 具有最大的应力传递作用,而 IHC 模型则对 C2 生物复合材料牙科种植体起主导作用。虽然材料类型对应力屏蔽的影响很小,但种植体-基台界面模型却至关重要。微间隙分析表明,优化牙科种植体在各种材料中始终显示出最小的微间隙,而 NLD 模型始终显示出最大的微间隙。材料类型和界面模型都对微间隙的形成有很大影响。基台螺钉的扭矩损失各不相同,MTC 模型的扭矩损失一直很大,而 IHC 模型的扭矩损失很小。这项研究强调了在牙科种植体设计中考虑材料特性和界面模型的重要性,为开发可靠的牙科修复体提供了宝贵的见解。
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来源期刊
Silicon
Silicon CHEMISTRY, PHYSICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.90
自引率
20.60%
发文量
685
审稿时长
>12 weeks
期刊介绍: The journal Silicon is intended to serve all those involved in studying the role of silicon as an enabling element in materials science. There are no restrictions on disciplinary boundaries provided the focus is on silicon-based materials or adds significantly to the understanding of such materials. Accordingly, such contributions are welcome in the areas of inorganic and organic chemistry, physics, biology, engineering, nanoscience, environmental science, electronics and optoelectronics, and modeling and theory. Relevant silicon-based materials include, but are not limited to, semiconductors, polymers, composites, ceramics, glasses, coatings, resins, composites, small molecules, and thin films.
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