0% Complete
فارسی
Home
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
The Influence of Insertion-Induced Prestress and Viscoelastic Properties in Fixational Stability of Pedicle Screws in UHWMPE block: A Finite Element Study
Authors :
Ahmad Babazadeh Gh
1
Mohammadjavad (Matin) Einafshar
2
Ata Hashemi
3
1- Amirkabir University of Technology
2- Aalborg University, Denmark
3- Amirkabir University of Technology
Keywords :
Finite element analysis،Natural frequency،Modal analysis،Pedicle screw،UHMWPE،Viscoelasticity،Prestress،Prony series
Abstract :
Pedicle screws are critical components in spinal fixation systems, and the stiffness of the screw-bone interaction plays a crucial role in implant success. There are various ways to investigate screw-bone bonding strength, one of which is vibration-based diagnosis of screw-bone structure. While finite element modeling can reduce the time and give the ability to model different geometries and other conditions, properly modeling the vibration behavior of the screw inside bone comes with difficulties. This study investigates the influence of insertion-induced prestress and the viscoelastic properties of ultra-high molecular weight polyethylene (UHMWPE) bone-analog material on the natural frequency of a pedicle screw–block assembly using finite element analysis (FEA). Three models were developed: Model I (linear elastic without prestress), Model II (linear elastic with prestress), and Model III (viscoelastic without prestress). A 3D geometry of the screw and UHMWPE block was constructed, and frequency analysis was performed at three insertion depths (10 mm, 20 mm, and 30 mm). Simulation results were compared with previously published experimental data. Model I underestimated the natural frequency at all depths around 14-30%, while Model II, accounting for screw insertion-induced radial prestress, improved prediction accuracy, reducing errors down to under 18%. Model III, which captured UHMWPE's viscoelastic behavior using a Prony series, showed the closest agreement with experimental data, with errors under 7%. The results highlight the importance of modeling both viscoelasticity and insertion-related prestress to accurately predict dynamic behavior. These findings are useful for improving finite element modeling of modal analysis methods to investigate screw stability in spinal implants.
Papers List
List of archived papers
Comparative Evaluation of Feature Selection Techniques for Six-Month Mortality Prediction in Heart Failure Patients
Parsa Haghighatgoo - Somayeh Afrasiabi
Coronary Full artery segmentation using U-Net neural network architecture
Rezvan Monjezi - Mahdieh Ghasemi - Mahdi Salehi - Alireza Rowhanimanesh - Samaneh Tabaee
Dual pH-and glucose-responsive terpolymer based on phenylboronic acid
FATEMEH GHASHGHAEE ZADEH - Mahdi Salami hosseini - Mehdi Salami Kalajahi
ارتباط بین روابط سیاسی و افشای مسئولیت پذیری اجتماعی شرکت
بیتا دلنواز اصغری - مهنا پیرایه جو - نیما رضااوغلی سقا - مائده خاکسار
پلتفرم هوشمند «دستیار پیمانکار»
محمد عبدالهی سنو
بررسی اثرات تعامل و همکاری بین مدیران مالی ارشد شرکتها و مؤسسات حسابرسی بر کیفیت حسابرسی
موسی انصاری - محمد فرهادی مهر
Designing a Machine Learning Model with LSTM and CNNs to Make the Quality Control Process of Liquefied Gas Tankers Intelligent
Raha Pakzad
بررسی و تحلیل محتوای تغییرات حسابداری در بستر بلاکچین
زهرا شیخی - سپیده زارع خورمیزی
Plasma Electrolytic Oxidation-Derived HAp–Ta₂O₅ Coatings on Ti6Al4V for Biomedical Applications
Milad Hosseini - Jafar Khalil allafi - Mir saman Safavi
DMAEMA-based photocrosslinkable hydrogels with injectable capabilities for smart drug delivery systems in implant infections
Fatemeh Haj Sadeghi - Vahid Haddadi Asl - Hanie Ahmadi
more
Samin Hamayesh - Version 42.5.2