scholarly journals A Modeling Method of Human Knee Joint Based on Biomechanics

2020 ◽  
Vol 179 ◽  
pp. 02096
Author(s):  
Jin Gao ◽  
Yajing Wang ◽  
Yahui Cui ◽  
Xiaomin Ji ◽  
Xupeng Wang
Keyword(s):  
Knee Joint ◽  
Geometric Model ◽  
Processing Method ◽  
Element Analysis ◽  
Human Knee ◽  
Human Knee Joint ◽  
Modeling Software ◽  
Total Knee ◽  
3D Geometric Model

In order to establish an accurate model of human knee joint, which lays a foundation for the follow-up finite element analysis of knee joint and biomechanics analysis, the paper based on the theory of biomechanics and MRI, with the help of professional modeling software, provides a 3D geometric model modeling and materialization processing method of knee joint, and established a total knee joint model including femur, tibia, fibular, meniscus, cartilage, ligament and other related structures.

Influences of Varus Tilt on the Stresses in Human Prosthetic Knee Joint

2016 ◽  
Vol 823 ◽  
pp. 143-148 ◽  
Author(s):  
Dan Calafeteanu ◽  
Daniela Tarniţă ◽  
Marius Catana ◽  
Dan Tarnita
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Knee Joint ◽  
Knee Prostheses ◽  
Element Analysis ◽  
Human Knee ◽  
Prosthetic Knee ◽  
Ansys Simulation ◽  
Human Knee Joint ◽  
Total Knee

In this paper the effects of varus tilt on contact stresses in the three components of total knee prostheses using 3D finite element analysis were investigated. Using Ansys simulation environment, six complex virtual models of human knee joint–prosthesis assembly obtained for six different varus tilts which increase from 176o to 191o, with an increment of 3o have been subjected to finite element analysis in order to obtain the stress maps and total displacements maps.

Finite element analysis of human knee joint in varus-valgus

1997 ◽  
Vol 12 (3) ◽  
pp. 139-148 ◽  
Author(s):  
MZ Bendjaballah ◽  
A Shirazi-Adl ◽  
DJ Zukor
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Knee Joint ◽  
Element Analysis ◽  
Human Knee ◽  
Human Knee Joint

scholarly journals Evaluating the effects of material properties of artificial meniscal implant in the human knee joint using finite element analysis

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Duraisamy Shriram ◽  
Gideon Praveen Kumar ◽  
Fangsen Cui ◽  
Yee Han Dave Lee ◽  
Karupppasamy Subburaj
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Knee Joint ◽  
Material Properties ◽  
Element Analysis ◽  
Human Knee ◽  
Human Knee Joint

Human Knee Joint Anatomy Revisited: Morphometry in the Light of Sex-Specific Total Knee Arthroplasty

2011 ◽  
Vol 26 (3) ◽  
pp. 346-353 ◽  
Author(s):  
Jens Dargel ◽  
Joern W.P. Michael ◽  
Janna Feiser ◽  
Roland Ivo ◽  
Juergen Koebke
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Joint ◽  
Knee Arthroplasty ◽  
Human Knee ◽  
Human Knee Joint ◽  
Total Knee

Modeling and Finite Element Analysis of the Human Knee Joint Affected by Osteoarthritis

2014 ◽  
Vol 601 ◽  
pp. 147-150 ◽  
Author(s):  
Daniela Tarniţă ◽  
Marius Catana ◽  
Dan Nicolae Tarnita
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Articular Cartilage ◽  
Knee Joint ◽  
Cartilage Damage ◽  
Von Mises Stress ◽  
Element Analysis ◽  
Human Knee ◽  
Biomechanical Behavior ◽  
Human Knee Joint

The paper presents a complex three-dimensional model of the human knee joint, containing bones, ligaments, menisci, tibial and femoral cartilages. To investigate the role of the articular cartilage in the developing of the osteoarthritis, to analyze and simulate the biomechanical behavior of the human knee joint, a finite element analysis was performed. The non-linearities are due to the presence of the contact elements modeled between components surfaces and to the nonlinear properties of the cartilage, applying a load of 800 N and 1500 N, for 0o in flexion. The results show that misalignment (valgus variation) could damage the articular cartilage because they increase the stress magnitude, that progressively produce articular cartilage damage and it enhances the osteoarthritis phenomenon due to mechanical factors. The displacements and the Von Mises stress distributions on the cartilage and menisci for the virtual prototype, considering an angle of 10 degrees for valgus, are presented. The obtained values are comparable with the values obtained by other authors.

Modeling, Simulation and Optimization of a Human Knee Orthotic Device

2013 ◽  
Vol 371 ◽  
pp. 549-553 ◽  
Author(s):  
Marius Catana ◽  
Daniela Tarniţă ◽  
Dan Tarnita
Keyword(s):  
Knee Joint ◽  
Geometric Modeling ◽  
Geometric Model ◽  
Human Knee ◽  
Simulation And Optimization ◽  
Orthotic Device ◽  
Knee Oa ◽  
Human Knee Joint ◽  
Materials Used

In order to improve the quality of human walking, the present paper is analyzing a 3D virtual model for an orthotic device which is subjected to an optimization process based on dimensional, geometric and material criteria. For geometric modeling of the human knee joint were used the embedded applications: DesignModeler, SpaceClaim under AnsysWorkbench software package and for the orthotic device it was used ProEngineer application. The orthotic device is designed to rehabilitate people with knee problems, especially for the osteoarthritis affection. The geometric model of the joint shows a 50tilt invarus, the joint beeing affected by osteoarthritis in the medial compartment. Using Ansys simulation environment, the virtual assembly joint orthois has been subjected to a nonlinear analysis based on the contacts and on the materials used. The proposed orthotic device seeks to improve the quality of walking by minimizing the loads from the knee joint, also on cartilage and on the menisci. Finally there are beeing compared the results obtained for normal knee, OA knee and OA knee-orthosis assemblies.

scholarly journals A Processing Method for Kinematics Data of Human Knee Joint Obtained by Motion-Capture Measurement

2020 ◽  
Author(s):  
Jian-ping Wang ◽  
Shi-hua Wang ◽  
Xuan Zhao ◽  
Hai Hu ◽  
Yan-qing Wang ◽  
...  
Keyword(s):  
Knee Joint ◽  
Healthy Volunteers ◽  
Motion Capture ◽  
Lower Limb ◽  
External Rotation ◽  
Processing Method ◽  
Human Knee ◽  
Human Knee Joint ◽  
Maximum Range ◽  
Coordinate Data

Abstract Background: The data obtained by motion capture method is many and complex, so it is the key to find an efficient method to process the data. Therefore, to develop a processing method for kinematics data of human knee joint by programming on MATLAB sofware. Methods: The coordinate data of markers on human lower limb measured by motion capture system were firstly read and repaired through the program. Then the coordinate data of anatomical points in the movement of human lower limb were obtained by program processing. The local coordinate systems of human femur and tibia were established with anatomical points. After that the flexion/extension, abduction/adduction and internal/external rotation of human knee tibiofemoral joint in the movement of lower limb were obtained by coordinate transformation. Lastly, the motion capture and measurement of healthy volunteers were carried out and the MATLAB program was used for data processing.Results: Using the above methods, motion capture measurements and batch data processing were carried out on squatting and ascending stairs of 29 healthy volunteers to obtain the motion characteristics of the knee joint. As follows, the maximum range of internal and external rotation in squatting is 30.5 degrees, and the maximum range of internal and external rotation in climbing stairs is 16.5 degrees, etc., respectively compared with the results processed by other research methods, it is found that their movement results are basically consistent, thus verifying the reliability of our research method.Conclusion: The kinematics data of human knee joint could be processed accurately and effectively with the method by using MATLAB software, and the kinematics characteristics of human knee tibiofemoral joint were obtained. The processing method provides a reference for the designing and optimization of knee prosthesis, and the program can be modified for different purposes. At the same time, it is helpful to study knee joint movement of patients after total knee arthroplasty. Keywords: Knee joint, Motion capture measurement, MATLAB, Kinematics

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