Modeling and validation of a 3D premolar for finite element analysis

Durand, Letícia Brandão; Guimarães, Jackeline Coutinho; Monteiro, Sylvio

doi:10.1590/1807-2577.06715

Cited by 4 publications

(5 citation statements)

References 23 publications

(44 reference statements)

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“…It can be observed that the result of the current study supports the results of Fan et al [2]. The results has been verified with experimental results and the average percentage of error is 8 % and this percentage is acceptable to proceed simulation process [21]…”

Section: Code Validationsupporting

confidence: 90%

Numerical investigation on enhancement of heat transfer using rod inserts in single pipe heat exchanger

Raheemah¹,

Ashham²,

Salman³

2019

JMES

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The current study focused on statistically investigating nanofluids' turbulent flow and rate of heat transfer in double pipe heat exchanger with rod inserts. Through the use of numerical simulation, the effects which the various kinds of nanofluids have on the enhancement of heat transfer using finite volume method (FVM) are studied. An application of homogeneous heat flux is made to the tube wall. More so, an examination of the effect of three varying slant angles of rod insert (α = 25°, 30°, 45°) was carried out at varying Reynolds number ranging from 7500 -20000. The statistical results revealed that the coefficient of transferring heat in the tube containing rod inserts is higher than that of the smooth tube. In addition, results also showed that when rod insert are used in double pipe heat exchanger to augment the Nusselt number increases the slant angle. The max value of Nusselt number was demonstrated at the angle 45° of rod insert. Through the use of the rod inserts at (α=45°) and (S = 30mm), the coefficient of maximal skin friction was determined because of the resistance of larger flow. The maximal value of the Performance Evaluation Criteria (PEC) was mentioned in the case of min slant angle of (α = 25°) and the pitch distance of S = 30 mm.

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Section: Code Validationsupporting

confidence: 90%

Numerical investigation on enhancement of heat transfer using rod inserts in single pipe heat exchanger

Raheemah¹,

Ashham²,

Salman³

2019

JMES

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“…With a sphere, the axial load can have slanting components in the cusps enhancing the probability of damage. The threedimensional model used in this FEA study can be validated due to in vitro studies evaluating the premolar behavior using strain gauges [25] or compressive test [26,27], showed similar results, observing a higher concentration of stress on the lingual cusp for all groups (Figure 2).…”

Section: Discussionmentioning

confidence: 69%

Biomechanical behavior of indirect composite materials: a 3D-FEA study

Tribst

2017

BDS

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Objetivo: This study aimed to evaluate the influence of the elastic modulus of indirect composite resins (ICR) in the stress distribution of a restored maxillary first premolar. Material and methods: A three-dimensional (3D) finite element model of the tooth and the mesialocclusal-distal (MOD) restoration was created. Three ICR were simulated, by changing the elastic modulus: 10, 15 and 20 GPa. All materials were considered as isotropic, homogeneous and linearly elastic. An occlusal load (200 N) was applied on occlusal surface trough a sphere, and the nodes of the external surface of the root were fixed. The maximum principal stresses on the tooth and restoration were analyzed. Results: According to FE analysis, the lower the ICR elastic modulus, the higher the tensile stress values generated on the remaining tooth. For the restoration, the opposite was observed: the lower the modulus, the lower the tensile stress. Conclusion: With the limitations of this study it is possible to conclude that the greater the elastic modulus of the restorative material the harder it will be to deflect the cusps, but the easier the fracture of the resin. RESUMOObjective: Este estudo teve como objetivo avaliar a influência do módulo de elasticidade de resinas compostas indiretas (RCI) na distribuição de tensão de um primeiro pré-molar superior restaurado. Materiais e métodos: Um modelo de elemento finito tridimensional (3D) de um dente com restauração mesio-ocluso-distal (MOD) foi utilizado. Foram simulados três RCI, alterando o módulo de elasticidade: 10, 15 e 20 GPa. Todos os materiais foram considerados isotrópicos, homogêneos, lineares e elásticos. Uma carga axial (200 N) foi aplicada na superfície oclusal através de uma esfera, e os nós da superfície externa das raízes foram fixados. Foi analisada a Tensão Máxima Principal no dente e na restauração. Resultados: De acordo com a análise, quanto menor for o módulo elástico da RCI, maiores são os valores de tensão de tração gerados no dente. Para a restauração, observou-se o oposto: quanto menor o módulo, menor a tensão de tração. Conclusão: Com as limitações deste estudo, é possível concluir que quanto maior o módulo de elasticidade do material restaurador, mais difícil será a deflexão das cúspides, mas, a fratura da resina será mais fácil. O R I G I N A L A R T I C L EBiomechanical behavior of indirect composite materials: a 3D-FEA study PAlAvRAS-ChAvEAnálise por elementos finitos; Resina composta; Restauração indireta.

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“…Although a standardized approach for validating computational models doesn’t exist, addressing applicability of the model reported is important. 41,46,47 For example, in the present study, the “Nose” compression location is more accurate than the “Mouth” or “Chin” locations; therefore, to apply the “Nose” location in a parametric analysis is supported by the data. In contrast, the “Mouth” and “Chin” locations should be used more cautiously.…”

Section: Discussionmentioning

confidence: 61%

“…32,41 In other cases, as much as 10% or more may be accepted. 25,32,36–39,41 As shown in Figure 8, the “Nose” location is the most accurate across the faceguards used in this study with an average percent difference of 2.7%. In contrast, the “Mouth” and “Chin” locations had average percent differences of 10.8% and 9.9%, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…A difference of 5% or less between computational and experimental results has been used to conclude model validation. 32,41 In other cases, as much as 10% or more may be accepted. 25,32,[36][37][38][39]41 As shown in Figure 8, the ''Nose'' location is the most accurate across the faceguards used in this study with an average percent difference of 2.7%.…”

Section: Model Validationmentioning

confidence: 99%

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Finite element validation of 3D American football faceguard structural stiffness models

Ferriell

Batt

DesJardins

2020

Proceedings of the Institution of Mechanical Engineers, Part P:

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Despite continued efforts to improve American football headgear technology, minimal structural changes have been made to faceguard design in the past 20 years. Although each new helmet system has its own compatible faceguard series, the primary design components have changed little between helmet systems. Additionally, little is known about specific parameters that influence faceguard performance, largely due to the variation inherent in laboratory impact testing. The goal of this study was two-fold: to validate a reverse engineering method for developing a library of faceguard models; and to validate the finite element simulation of three common American football faceguards subject to a quasi-static structural stiffness test. Three common Riddell® Speedflex™ (Des Plaines, IL) faceguard styles were modeled using a novel reverse engineering approach. Within ANSYS® Mechanical™ (ANSYS, Inc., Canonsburg, PA), the faceguards were modeled as stainless steel (elastic modulus = 193 GPa, Poisson’s ratio = 0.31). A displacement of 5 mm was prescribed in the posterior (z) direction. Boundary conditions were applied to accommodate the coronal plane (x, y) translation at clip attachment locations. The computational results correlated to the experimental results with statistical significance ( p value = 0.001). The Nose location was the most reliable with an average percent difference from experimental results of 2.7%, compared to 10.8% and 9.9% at the Mouth and Chin locations, respectively. Many studies utilizing computational models of protective headgear lack reported validation of headgear components. This study has validated the structural stiffness of three common faceguards to be used in future computational analyses. Furthermore, advancements in additive manufacturing technologies have opened the door to increasingly complex faceguard design capabilities; however, little is known about specific parameters that influence faceguard performance. With the models validated in this study, parameterized faceguard models should be used to iterate between design variables and assess the contribution of each variable on faceguard structural stiffness.

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Modeling and validation of a 3D premolar for finite element analysis

Cited by 4 publications

References 23 publications

Numerical investigation on enhancement of heat transfer using rod inserts in single pipe heat exchanger

Numerical investigation on enhancement of heat transfer using rod inserts in single pipe heat exchanger

Biomechanical behavior of indirect composite materials: a 3D-FEA study

Finite element validation of 3D American football faceguard structural stiffness models

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