Computer Aided Modeling and Finite Element Analysis of Human Elbow

2016 ◽  
Vol 5 (1) ◽  
pp. 31-38
Author(s):  
Arpan Gupta ◽  
O.P. Singh
Keyword(s):  
Finite Element ◽  
Research Work ◽  
Well Being ◽  
Computer Aided Engineering ◽  
Weight Lifting ◽  
Patient Specific ◽  
Element Analysis ◽  
Detailed Model ◽  
Computer Aided ◽  
Safe Load

Finite element modeling (FEM) plays a significant role in the design of various devices in the engineering field of automotive, aerospace, defense etc. In the recent past, FEM is assisting engineers and healthcare professional in analyzing and designing various medical devices with advanced functionality. Computer aided engineering can predict failure circumstances, which can be avoided for the health and well-being of people. In this research work, computer aided engineering analysis of human elbow is presented beginning with modeling of human elbow from medical image data, and predicting the stresses in elbow during carrying heavy loads. The analysis is performed by using finite element method. The results predict the stress level and displacement in the human bone during heavy weight lifting. Thus, it can be used to predict the safe load that a particular person can carry without bone injury. The present analysis focused on a particular model of bone for a particular individual. However, safe load can be determined for various age groups by generating more detailed model including tendons, ligaments and by using patient specific material properties.

Computer Aided Modeling and Finite Element Analysis of Human Elbow

2017 ◽  
pp. 1044-1052
Author(s):  
Arpan Gupta ◽  
O.P. Singh
Keyword(s):  
Finite Element ◽  
Research Work ◽  
Age Groups ◽  
Well Being ◽  
Computer Aided Engineering ◽  
Element Analysis ◽  
Computer Aided ◽  
Specific Material ◽  
Heavy Loads ◽  
Safe Load

Finite element modeling (FEM) plays a significant role in the design of various devices in the engineering field of automotive, aerospace, defense etc. In the recent past, FEM is assisting engineers and healthcare professional in analyzing and designing various medical devices with advanced functionality. Computer aided engineering can predict failure circumstances, which can be avoided for the health and well-being of people. In this research work, computer aided engineering analysis of human elbow is presented beginning with modeling of human elbow from medical image data, and predicting the stresses in elbow during carrying heavy loads. The analysis is performed by using finite element method. The results predict the stress level and displacement in the human bone during heavy weight lifting. Thus, it can be used to predict the safe load that a particular person can carry without bone injury. The present analysis focused on a particular model of bone for a particular individual. However, safe load can be determined for various age groups by generating more detailed model including tendons, ligaments and by using patient specific material properties.

scholarly journals Finite Element Analysis of Cylindrical Rubber Fender

2018 ◽  
Vol 207 ◽  
pp. 02008
Author(s):  
Chung-Ming Tan ◽  
Mau-Yiu Chang
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Computer Aided Engineering ◽  
Simulation Tool ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Computer Aided ◽  
Potential Applications

This research is to develop a methodology to optimize the performance of fenders using finite element analysis. The design of fender geometry is done using software SolidWorks. Simulation is one of several add-in tools in SolidWorks. The finite element analysis of the performance of the fender designed is then evaluated by simulation tool in SolidWorks. This study also shows the potential applications of computer aided engineering and its benefits in verifying and reinventing various fenders design.

Computer-Aided Engineering Approach for Parametric Investigation of Locked Plating Systems Design

2013 ◽  
Vol 7 (2) ◽  
Author(s):  
Joshua C. Arnone ◽  
A. Sherif El-Gizawy ◽  
Brett D. Crist ◽  
Gregory J. Della Rocca ◽  
Carol V. Ward
Keyword(s):  
Finite Element ◽  
Three Dimensional ◽  
Systems Design ◽  
Computer Aided Engineering ◽  
Design Parameters ◽  
Locked Plating ◽  
Element Analysis ◽  
Parametric Investigation ◽  
Computer Aided ◽  
Processing Techniques

The present paper presents an integrated computer-aided engineering (CAE) approach combining digital imaging, solid modeling, robust design methodology, and finite element analysis in order to conduct a parametric investigation of the design of locked plating systems. The present study allows for understanding the contributions of different design parameters on the biomechanics and reliability of these systems. Furthermore, the present approach will lead to exploration of optimum design parameters that will result in robust system performance. Three-dimensional surface models of cortical and cancellous femoral bone were derived via digital computed tomography (CT) image processing techniques and a medical imaging analysis program. A nine orthogonal array matrix simulation (L9) was conducted using finite element methods to study the effects of the various design parameters on plate performance. The introduced technique was demonstrated and experimentally verified on a case study using a Smith & Nephew PERI- LOC distal femur locking plate and a Synthes Less Invasive Stabilization System (LISS).

Patient-Specific 3D Finite-Element Analysis of Miniscrew Implants During Orthodontic Treatment

2009 ◽  
Author(s):  
Hussein H. Ammar ◽  
Victor H. Mucino ◽  
Peter Ngan ◽  
Richard J. Crout ◽  
Osama M. Mukdadi
Keyword(s):  
Finite Element ◽  
Orthodontic Treatment ◽  
3D Model ◽  
Patient Specific ◽  
Stress Concentrations ◽  
Element Analysis ◽  
Miniscrew Implants ◽  
Operative Planning ◽  
Miniscrew Implant ◽  
Maximum Stresses

Miniscrew implants have seen increasing clinical use as orthodontic anchorage devices with demonstrated stability. The focus of this study is to develop and simulate operative factors, such as load magnitudes and anchor locations to achieve desired motions in a patient-specific 3D model undergoing orthodontic treatment with miniscrew implant anchorage. A CT scan of a patient skull was imported into Mimics software (Materialise, 12.1). Segmentation operations were performed on the images to isolate the mandible, filter out noise, then reconstruct a smooth 3D model. A model of the left canine was reconstructed with the PDL modeled as a thin solid layer. A miniscrew was modeled with dimensions based on a clinical implant (BMK OAS-T1207) then inserted into the posterior mandible. All components were volumetrically meshed and optimized in Mimics software. Elements comprising the mandible bone and teeth were assigned a material based on their gray value ranges in HU from the original scan, and meshes were exported into ANSYS software. All materials were defined as linear and isotropic. A nonlinear PDL was also defined for comparison. For transverse forces applied on the miniscrew, maximum stresses increased linearly with loading and appeared at the neck or first thread and in the cortical bone. A distal tipping force was applied on the canine, and maximum stresses appeared in the tooth at the crown and apex and in the bone at the compression surface. Under maximum loading, stresses in bone were sufficient for resorption. The nonlinear PDL exhibited lower stresses and deflections than the linear model due to increasing stiffness. Numerous stress concentrations were seen in all models. Results of this study demonstrate the potential of patient-specific 3D reconstruction from CT scans and finite-element simulation as a versatile and effective pre-operative planning tool for orthodontists.

scholarly journals Agustin de Betancourt’s Mechanical Dredger in the Port of Kronstadt: Analysis through Computer-Aided Engineering

2018 ◽  
Vol 8 (8) ◽  
pp. 1338 ◽  
Author(s):  
José Rojas-Sola ◽  
Eduardo De la Morena-De la Fuente
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
3D Model ◽  
Russian Empire ◽  
Computer Aided Engineering ◽  
Operating Conditions ◽  
The Finite Element Method ◽  
Safety Coefficient ◽  
Computer Aided ◽  
The Russian Empire

This article analyzes the first self-propelled floating dredging machine designed and executed by Agustín de Betancourt in 1810 to dredge the port of Kronstadt (Russia). With this objective, a study of computer-aided engineering (CAE) has been carried out using the parametric software Autodesk Inventor Professional, consisting of a static analysis using the finite element method, of the 3D model which is reliable under operating conditions. The results have shown that the system of inertia drums proposed by Betancourt manages to dissipate the tensions between the different elements, locating the highest stresses in the links of the bucket rosary, specifically at the point of contact between links. Similarly, the maximum displacements and the greatest deformations (always associated with these points of greater stress), are far from reaching the limits of breakage of the material used in its construction, as well as the safety coefficient of the invention, confirming that the mechanism was oversized, as was generally the case at the time. This analysis highlights the talent of the Spanish engineer and his mastery of mechanics, in an invention, the first of its kind worldwide, which served the Russian Empire for many years.

scholarly journals A Methodology for the Derivation of Unloaded Abdominal Aortic Aneurysm Geometry With Experimental Validation

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Santanu Chandra ◽  
Vimalatharmaiyah Gnanaruban ◽  
Fabian Riveros ◽  
Jose F. Rodriguez ◽  
Ender A. Finol
Keyword(s):  
Finite Element ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Stress Component ◽  
Wall Stress ◽  
Patient Specific ◽  
Element Analysis ◽  
Nodal Surface ◽  
Abdominal Aortic ◽  
Peak Wall Stress

In this work, we present a novel method for the derivation of the unloaded geometry of an abdominal aortic aneurysm (AAA) from a pressurized geometry in turn obtained by 3D reconstruction of computed tomography (CT) images. The approach was experimentally validated with an aneurysm phantom loaded with gauge pressures of 80, 120, and 140 mm Hg. The unloaded phantom geometries estimated from these pressurized states were compared to the actual unloaded phantom geometry, resulting in mean nodal surface distances of up to 3.9% of the maximum aneurysm diameter. An in-silico verification was also performed using a patient-specific AAA mesh, resulting in maximum nodal surface distances of 8 μm after running the algorithm for eight iterations. The methodology was then applied to 12 patient-specific AAA for which their corresponding unloaded geometries were generated in 5–8 iterations. The wall mechanics resulting from finite element analysis of the pressurized (CT image-based) and unloaded geometries were compared to quantify the relative importance of using an unloaded geometry for AAA biomechanics. The pressurized AAA models underestimate peak wall stress (quantified by the first principal stress component) on average by 15% compared to the unloaded AAA models. The validation and application of the method, readily compatible with any finite element solver, underscores the importance of generating the unloaded AAA volume mesh prior to using wall stress as a biomechanical marker for rupture risk assessment.

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