Wear mechanisms and damage evolution of superelastic NiTi orthodontic archwires under coupled bending-sliding loading in simulated oral conditions
Ines Ben Naceur, Khaled Elleuch
University of Sfax
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Nickel–titanium (NiTi) archwires are widely used in orthodontic applications due to their superelastic response and ability to deliver nearly constant forces. During clinical service, these components are subjected to repeated sliding, bending, and moderate temperature variations, which can promote progressive surface degradation. In this study, the influence of combined thermo-mechanical loading on the wear and damage behavior of commercial NiTi archwires was experimentally investigated under simulated oral conditions. Cyclic friction tests were performed in artificial saliva on circular and rectangular archwires at different temperatures, normal loads, and archwire deflection levels using a rotating tribometer. A bending device was employed to closely reproduce in-vivo conditions. After 12,000 sliding cycles, wear rates increased by ∼50% for the rectangular archwire in the active configuration and by about 60% when the normal load was raised to 13 N at 50 °C, compared with passive conditions at 2 N ( n = 3, p < 0.001). Increasing the test temperature above the austenite finish temperature ( A f ) led to a further decrease in wear resistance. Scanning electron microscopy analysis of the wear tracks revealed that abrasive and fatigue-assisted wear patterns were the dominant degradation mechanisms. Bending promoted localized deformation and surface cracking, contributing to reduced fatigue life. Cyclic friction in these regions further enhanced surface damage. These findings provide experimental insight into damage evolution in superelastic NiTi components under combined cyclic loading and moderate temperature variations, offering guidance for durability assessment of orthodontic archwires under service-like conditions.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
材料 / 化学Shape Memory Alloy Transformations
Mechanical stress and fatigue analysis · Titanium Alloys Microstructure and Properties