scholarly journals Application of Inverse Neural Networks for Optimal Pretension of Absorbable Mini Plate and Screw System

2021 ◽  
Vol 11 (3) ◽  
pp. 1350
Author(s):  
Alex Bernardo Pimentel-Mendoza ◽  
Lázaro Rico-Pérez ◽  
Manuel Javier Rosel-Solis ◽  
Luis Jesús Villarreal-Gómez ◽  
Yuridia Vega ◽  
...  
Keyword(s):  
Design Parameters ◽  
Mandibular Fractures ◽  
Insertion Torque ◽  
Shaft Length ◽  
Screw Insertion ◽  
Screw Breakage ◽  
Artificial Neural Network Ann ◽  
Absorbable Plate ◽  
Von Mises ◽  
Mini Plate

Mandibular fractures are common facial lesions typically treated with titanium plate and screw systems; nevertheless, this material is associated with secondary effects. Absorbable material for implants is an alternative to titanium, but there are also problems such as incomplete screw insertion and screw breakage due to high pretension in the screw caused by the insertion torque. The purpose of this paper is to find the optimal screw pretension (SP) in absorbable plate and screw systems by means of artificial neural network (ANN) and its inverse (ANNi). This optimal SP must satisfy a desired maximum von Mises strain (MVMS). For training the ANN, a database was generated by means of a design of experiments (DOE). Each DOE configuration was solved by means of finite element method (FEM) calculations. To obtain the optimal value for (SP) in the mini absorbable screw for fracture fixation, a strategy to invert the ANN is developed. Using the ANN coefficients, a sensitive study was performed to identify the influence of the design parameters in the MVMS. The optimal SP obtained was 14.9742 N. The MVMS condition was satisfied with an error less than 1.1% in comparison with FEM and ANN results. The screw shaft length is the most influencing MVMS parameter.

Surgeon Perception of Cancellous Screw Fixation

2012 ◽  
Author(s):  
Michael J. Stoesz ◽  
James R. Jastifer ◽  
Joseph L. Chess ◽  
Bipin Patel ◽  
Peter A. Gustafson
Keyword(s):  
Cancellous Bone ◽  
Screw Fixation ◽  
Insertion Torque ◽  
Cancellous Screw ◽  
Screw Insertion ◽  
Factors Associated

The ability of surgeons to optimize screw insertion torque in nonlocking fixation constructs is important for stability, particularly in osteoporotic and cancellous bone. This study evaluated screw torque applied by surgeons during simulated cancellous fixation. It evaluated the frequency that synthetic cancellous bone were stripped by the surgeon, factors associated with bone stripping, and the ability of surgeons to recognize it.

Insertion Torque Profile During Pedicle Screw Insertion of the Thoracic Spine With and Without Violation of the Pedicle Wall

Spine ◽  
2006 ◽  
Vol 31 (22) ◽  
pp. E840-E846 ◽  
Author(s):  
Hwan T. Hee ◽  
Mohammad Shazad Khan ◽  
James C. Goh ◽  
Hee K. Wong
Keyword(s):  
Pedicle Screw ◽  
Thoracic Spine ◽  
Insertion Torque ◽  
Screw Insertion ◽  
Pedicle Screw Insertion ◽  
Pedicle Wall

Drilling Energy Correlates With Screw Insertion Torque, Screw Compression, and Pullout Strength: A Cadaver Study

2020 ◽  
Vol 28 (24) ◽  
pp. e1121-e1128
Author(s):  
Michael J. Chen ◽  
Malcolm R. DeBaun ◽  
Timothy Thio ◽  
Hunter Storaci ◽  
Michael J. Gardner
Keyword(s):  
Cadaver Study ◽  
Insertion Torque ◽  
Pullout Strength ◽  
Screw Insertion

scholarly journals Effect of Off-Axis Screw Insertion, Insertion Torque, and Plate Contouring on Locked Screw Strength

2014 ◽  
Vol 28 (7) ◽  
pp. 427-432 ◽  
Author(s):  
Bethany Gallagher ◽  
Matthew J. Silva ◽  
William M. Ricci
Keyword(s):  
Insertion Torque ◽  
Screw Insertion ◽  
Locked Screw

Theoretical modelling of the self-tapping screw fastening process

2001 ◽  
Vol 215 (2) ◽  
pp. 135-154 ◽  
Author(s):  
L D Seneviratne ◽  
F A Ngemoh ◽  
S W E Earles ◽  
K A Althoefer
Keyword(s):  
Theoretical Model ◽  
Control Strategies ◽  
The Self ◽  
Theoretical Modelling ◽  
Insertion Torque ◽  
Monitoring And Control ◽  
Screw Insertion ◽  
Engineering Mechanics ◽  
And Control ◽  
Insertion Process

The results of a theoretical study of the self-tapping screw insertion process are presented. Fundamental concepts of engineering mechanics are employed to analyse the axial torque required to complete a general self-tapping screw insertion operation. Equations for the screw insertion torque as a function of screw, hole and material properties are presented. Experimental results for torque signature signals are compared with the predictions of the theoretical model, confirming the validity of the model. The theoretical model provides a basis for developing automated monitoring and control strategies for self-tapping screw fastenings.

scholarly journals Buckling Sensitivity of Ultra Fine Grained Material AA2618 Connecting Rod

2020 ◽  
Vol 8 (6) ◽  
pp. 4288-4294
Keyword(s):  
Primary Objective ◽  
Von Mises Stress ◽  
Design Parameters ◽  
Connecting Rod ◽  
Fine Grained ◽  
Buckling Stress ◽  
Ultrafine Grained ◽  
Fine Grained Material ◽  
Solid Works ◽  
Von Mises

The objective of the work is to evaluate the best design parameters of connecting rod using Ultrafine Grained Material AA2618. The critical buckling stress for existing material (C70S6) is high and the primary objective is to optimize connecting rod in terms of reduction of weight and stress. The numerical investigation has been carried out using ANSYS. Modeling of connecting rod is done in Solid works designing software. The analysis is performed on Ansys to calculate the critical buckling stress and Von-mises stress is calculated in the stress analysis by applying the maximum external load. The analysis results are plotted graphically and results are compared to find the useful outcomes which are used to predict the structural behavior of connecting rod under given load.

scholarly journals Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

Agriculture ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 379
Author(s):  
Rafael E. Hidalgo Fernández ◽  
Pilar Carranza-Cañadas ◽  
Francisco J. García-Salcedo ◽  
Paula Triviño-Tarradas
Keyword(s):  
Parametric Design ◽  
Low Cost ◽  
Von Mises Stress ◽  
Design Parameters ◽  
Olive Grove ◽  
Agricultural Activities ◽  
Design Software ◽  
Von Mises ◽  
Light Material

Olive picking is one of the most common social agricultural activities in many regions of Andalusia where the predominant crop is the traditional olive grove. The machinery used includes shakers, blowers and essential, low-cost hand-rake sweepers. The latter are generally used by the women of the squads to sweep the olives that fall from the trees. This article is focused on the design and optimisation of a hand-rake sweeper, in terms of durability and cost, for the picking of olives and other fruits, such as almonds, which are currently the main alternative to nonperennial crops in Andalusia. A parametric design of a hand-rake sweeper was created for this application using the design software CATIA, and its most vulnerable points were analysed in terms of effectiveness with varying design parameters, conducting usage simulations with ANSYS for a light material such as polypropylene. The maximum von Mises stress of the whole structure was 155.81 MPa. Using ANSYS, the dimension parameters of the hand-rake sweeper structure were optimised. The modified design was analysed again, showing a reduction of maximum tensions of 10.06%, as well as a decrease in its maximum elongations (0.0181 mm).

Design and optimization of an electromechanical actuator for the latch of a foldable vehicle seat

2020 ◽  
Vol 62 (7) ◽  
pp. 749-755
Author(s):  
Z. K. Kocabicak ◽  
U. Demir
Keyword(s):  
Neural Network ◽  
Design Parameters ◽  
Design Criteria ◽  
Model Parameters ◽  
The Finite Element Method ◽  
Electromechanical Actuator ◽  
Design And Optimization ◽  
Artificial Neural Network Ann ◽  
Critical Model ◽  
Vehicle Seat

Abstract This paper deals with the electromechanical actuator (EAct) design for a seat latch while maintaining required force and displacement according to the boundary conditions and design criteria for the finite element method (FEM) in an Ansys Maxwell environment. Before presenting the analysis studies, some EAct models are parameterized according to the Taguchi’s design of experiment (DoE) method. After that, analysis results are evaluated to define the critical model parameters of the EAct according to the DoE method. Furthermore, the DoE results and design parameters of the EAct are trained in some cases by an artificial neural network (ANN). The dynamic behavior of the models from the ANN and DoE results are analyzed and the results obtained are compared. Finally, the optimal EAct model is defined taking into account design criteria.

Simulation-Based Design of a Self-Folding Smart Material System

2013 ◽  
Author(s):  
Edwin Peraza-Hernandez ◽  
Darren Hartl ◽  
Richard Malak
Keyword(s):  
Three Dimensional ◽  
Building Blocks ◽  
Passive Layer ◽  
Heating Power ◽  
Von Mises Stress ◽  
Maximum Temperature ◽  
Design Parameters ◽  
Material System ◽  
Design Variables ◽  
Von Mises

Origami engineering — the practice of creating useful three-dimensional structures through folding operations on two-dimensional building-blocks — is receiving increased attention from the science, mathematics, and engineering communities. The topic of this paper is a new concept for a self-folding material system. It consists of an active, self-morphing laminate that includes two meshes of thermally-actuated shape memory alloy (SMA) separated by a compliant passive layer. The goal of this paper is to analyze several of the key engineering tradeoffs associated with the proposed self-folding material system. In particular, we examine how key design variables affect folding behavior in an SMA mesh-based folding sheet. The design parameters we consider in this study are wire thickness, mesh wire spacing, thickness of the insulating elastomer layer, and heating power. The output parameters are maximum von Mises stress in the SMA, maximum temperature in the SMA, and minimum folding angle. The results show that maximum temperature in the SMA is mostly dependent on the total heating power per unit width of SMA. The results also indicate that through-heating — heat transfer from one SMA layer to the other through the insulating elastomer — can impede folding for some physical configurations. However, we also find that one can mitigate this effect using a staggered mesh configuration in which the SMA wires on different layers are not aligned. Based on our results, we conclude that the new staggered mesh design can be effective in preventing unintended transformation of the non-actuated layer.

Synthetic Jet Flow Control Optimization on SD7003 Airfoil at Low Reynolds Number

2018 ◽  
Author(s):  
Djavad Kamari ◽  
Mehran Tadjfar
Keyword(s):  
Boundary Layer ◽  
Reynolds Number ◽  
Flow Field ◽  
Synthetic Jet ◽  
Synthetic Jets ◽  
Parameters Optimization ◽  
Design Parameters ◽  
Pressure Drag ◽  
Force Reduction ◽  
Artificial Neural Network Ann

Synthetic jet crossing the boundary layer has been widely implemented on the airfoil’s top surface to control the flow field. Introducing a genetic algorithm coupled with artificial neural network (ANN) was used in this study to find optimum values for design parameters. Optimization was done for SD7003 airfoil at Reynolds number of 60,000 and angles of attack of 13° and 16°. URANS equations were employed to solve the flow field and k–ω SST was used as the turbulence model. The synthetic jets were implemented tangential to boundary layer (TBL). It was found that at optimum values of design parameters a significant improvement in aerodynamic coefficients by increasing lift and reducing drag can be achieved. Drag force reduction was achieved by reducing pressure drag at post stall and a significant reduction of separation zone.

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