冯·米塞斯屈服准则
材料科学
植入
压力(语言学)
皮质骨
流离失所(心理学)
有限元法
牙科
口腔正畸科
解剖
医学
结构工程
外科
工程类
哲学
语言学
心理治疗师
心理学
作者
Ronaldo Silva Cruz,Hiskell Francine Fernandes e Oliveira,Cleidiel Aparecido Araújo Lemos,Victor Eduardo de Souza Batista,Rodrigo Capalbo da Silva,Fellippo Ramos Verri
摘要
Abstract Purpose To evaluate the tendency of movement, stress distribution, and microstrain of single‐unit crowns in simulated cortical and trabecular bone, implants, and prosthetic components of narrow‐diameter implants with different lengths placed at the crestal and subcrestal levels in the maxillary anterior region using 3D finite element analysis (FEA). Materials and methods Six 3D models were simulated using Invesalius 3.0, Rhinoceros 4.0, and SolidWorks software. Each model simulated the right anterior maxillary region including a Morse taper implant of Ø 2.9 mm with different lengths (7, 10, and 13 mm) placed at the crestal and subcrestal level and supporting a cement‐retained monolithic single crown in the area of tooth 12. The FEA was performed using ANSYS 19.2. The simulated applied force was 178 N at 0°, 30°, and 60°. The results were analyzed using maps of displacement, von Mises (vM) stress, maximum principal stress, and microstrain. Results Models with implants at the subcrestal level showed greater displacement. vM stress increased in the implant and prosthetic components when implants were placed at the subcrestal level compared with the crestal level; the length of the implants had a low influence on the stress distribution. Higher stress and strain concentrations were observed in the cortical bone of the subcrestal placement, independent of implant length. Non‐axial loading influenced the increased stress and strain in all the evaluated structures. Conclusions Narrow‐diameter implants positioned at the crestal level showed a more favorable biomechanical behavior for simulated cortical bone, implants, and prosthetic components. Implant length had a smaller influence on stress or strain distribution than the other variables.
科研通智能强力驱动
Strongly Powered by AbleSci AI