Stress distribution and failure analysis comparison between Zirconia and Titanium dental implants

Milone, Dario; Fiorillo, Luca; Alberti, Fabio; Cervino, Gabriele; Filardi, V.; Pistone, Alessandro; Cicciù, Marco; Risitano, Giacomo

doi:10.1016/j.prostr.2022.05.077

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…The finite element method can be successfully used not only in orthodontics but also in prosthetics. The finite element method can be essential in studying the effects of the materials used in making Zirconium implants around the cortical bone of dental prostheses, thus improving the quality of the treatment [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Orthodontic System Modeled and Simulated with the Lingual Technique to Assess Tooth Forces

Hazem,

Mărășescu,

Țuculină

et al. 2024

Diagnostics

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CBCT (cone beam computed tomography) is an imaging investigation that provides three-dimensional (3D) images of craniofacial structures. The purpose of this study is to determine the mechanical behavior of an orthodontic system where the lingual treatment technique was used in a 25-year-old female patient from whom a set of CBCT scans was used. CBCT images were processed through software programs such as Invesalius, Geomagic, and Solid Works, to create models containing virtual solids. These models were then imported into Ansys Workbench 2019 R3 (a finite element method software program) for successive simulations to generate displacement maps, deformations, stress distributions, and diagrams. We observed that in the lingual technique, the lowest force occurring on the maxillary teeth is at 1.1, while the highest force appears at 2.3. In the mandible, the lowest force occurs at 4.6, and the highest force at 3.1. The values of the forces and the results of the finite element method can represent a basis for the innovation of new orthodontic springs and also of bracket elements. Thus, by using new technologies, orthodontic practice can be significantly improved for the benefit of patients. Other virtual methods and techniques can be used in future studies, including the application of virtual reality for orthodontic diagnosis.

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Section: Discussionmentioning

confidence: 99%

Orthodontic System Modeled and Simulated with the Lingual Technique to Assess Tooth Forces

Hazem,

Mărășescu,

Țuculină

et al. 2024

Diagnostics

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“…However, wear caused by regular activities such as walking, sitting, or running can lead to deterioration of the materials used in the joint [6][7][8]. To overcome this problem, researchers are increasingly turning to more advanced materials [9][10][11] and numerical techniques, such as the finite element method (FEM), to improve the functionality and lifespan of prostheses [12][13][14][15][16][17][18][19][20]. Human models are also used to simulate the influence of prosthetic design on human comfort and biomechanics [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Smart Design of Hip Replacement Prostheses Using Additive Manufacturing and Machine Learning Techniques

Milone,

D’Andrea,

Santonocito

2023

Prosthesis

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The field of additive manufacturing, particularly 3D printing, has ushered in a significant transformation in the realm of joint arthritis treatment through prosthetic surgery. This innovative technology allows for the creation of bespoke prosthetic devices that are tailored to meet the specific needs of individual patients. These devices are constructed using high-performance materials, including titanium and cobalt-chrome alloys. Nevertheless, the routine physical activities of patients, such as walking, sitting, and running, can induce wear and tear on the materials comprising these prosthetic devices, subsequently diminishing their functionality and durability. In response to this challenge, this research has endeavored to leverage novel techniques. The primary focus of this study lies in the development of an algorithm designed to optimize hip replacement procedures via the mechanical design of the prosthesis. This optimization process exploits the capabilities of machine learning algorithms, multi-body dynamics, and finite element method (FEM) simulations. The paramount innovation in this methodology is the capacity to design a prosthetic system that intricately adapts to the distinctive characteristics of each patient (weight, height, gait cycle). The primary objective of this research is to enhance the performance and longevity of prosthetic devices by improving their fatigue strength. The evaluation of load distribution on the prosthetic device, facilitated by FEM simulations, anticipates a substantial augmentation in the useful life of the prosthetic system. This research holds promise as a notable advancement in prosthetic technology, offering a more efficacious treatment option for patients suffering from joint arthritis. The aim of this research is to make meaningful contributions to the enhancement of patient quality of life and the long-term performance of prosthetic devices.

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“…The use of traditional materials has gradually been replaced with more performing ones [6][7][8] which have made it possible to obtain customized devices based on patient needs and, therefore, more effective. Numerical techniques have recently been adopted, such as the Finite Element Method (FEM), which, to support the experimentation, allows the calculation of the useful life and the optimization of the functionality of the prostheses, allowing the evaluation of the load distribution on the prosthesis accurately [9]. The IOP Publishing doi:10.1088/1757-899X/1275/1/012004 2 development of human models has increased with the need to understand the biomechanics of movements and their consequences on human comfort [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Smart design of customized hip prostheses in additive manufacturing by combining numerical and experimental methodologies

Milone

Marchis

Longo

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Thanks to the development of additive manufacturing techniques, prosthetic surgery has reached increasingly advanced levels, revolutionizing the clinical course of patients with joint arthritis. 3D printing has made it possible to obtain customized prostheses based on patient needs, using high-performance materials. However, wear caused by regular gait activities such as walking, sitting, or running, leads to the deterioration of the material used in the joint. Thus, the use of traditional materials has gradually been replaced with more performing ones which have made it possible to obtain customized devices based on patient needs and, therefore, more effective. Numerical techniques have recently been adopted, such as the Finite Element Method (FEM), to support the experimentation, allowing the calculation of the useful life and the optimization of the prostheses’ functionality to accurately evaluate the distribution of the load on the prosthesis. The present work aims to develop an algorithm that optimizes hip replacement mechanically using a machine learning algorithm coupled with multi-body and finite element model simulations.

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Stress distribution and failure analysis comparison between Zirconia and Titanium dental implants

Cited by 9 publications

References 22 publications

Orthodontic System Modeled and Simulated with the Lingual Technique to Assess Tooth Forces

Orthodontic System Modeled and Simulated with the Lingual Technique to Assess Tooth Forces

Smart Design of Hip Replacement Prostheses Using Additive Manufacturing and Machine Learning Techniques

Smart design of customized hip prostheses in additive manufacturing by combining numerical and experimental methodologies

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