颅骨成形术
有限元法
颅骨
材料科学
植入
人工神经网络
生物医学工程
固定(群体遗传学)
流离失所(心理学)
计算机科学
主管(地质)
钛合金
结构工程
外科
医学
复合材料
工程类
合金
人工智能
地质学
人口
心理治疗师
地貌学
环境卫生
心理学
作者
M. I. Martínez-Valencia,C. Hernández-Navarro,José Antonio Vázquez-López,Juan Luis Hernández Arellano,José Alfredo Jiménez-García,J. Díaz-León
标识
DOI:10.23967/j.rimni.2022.06.004
摘要
When cranial bone needs to be removed or lost, subsequent reconstruction of the defect is necessary to protect the underlying brain, correct aesthetic deformities, or both. Cranioplasty surgical procedures are performed to correct the skull defects requiring reconstruction of form and function. Personalized cranial implants can repair severe injuries to the skull can be done through This study presents the optimization of cranial titanium implants. A total of sixty different models were subjected to a simulation by Finite Element Analysis (FEA) applying the mechanical properties of a grade 5 titanium alloy (Ti6Al4V) implant material. The material was subjected to intracranial pressure (ICP) conditions, with a typical range (10 mm Hg) and twelve fixation points in the boundary conditions. An artificial neural network (ANN) was created to connect the designs, obtaining maximum displacements. Optimal designs were obtained using a generalized reduced gradient that minimizes the amount of material, maintaining as a restriction a maximum displacement of 0.1 mm for the 5th to 95th percentiles, which represent the group of individuals under study.
科研通智能强力驱动
Strongly Powered by AbleSci AI