finite element approach
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2022 ◽  
Vol 299 ◽  
pp. 117383
Author(s):  
Joselito Yam Alcaraz ◽  
Jing Zhang ◽  
Arun Prasanth Nagalingam ◽  
Sharan Kumar Gopasetty ◽  
Boon Loong Toh ◽  
...  

2022 ◽  
Author(s):  
Kuriakose Joseph ◽  
Sasidhar Jangam ◽  
K. Ramesha ◽  
V. Umesh ◽  
G. Vijay Kumar ◽  
...  

2021 ◽  
Vol 3 (4) ◽  
pp. 243-262
Author(s):  
T. V. Smitha ◽  
Madhura. S ◽  
K. V. Bhargava Ram ◽  
Mahalakshmi. M

Engineering has a wide range of applications where more detailed and reliable data are needed, one of which is biomedicine. One of the aims of meshing is to use the Finite Element Approach to solve the problem. By analysing and segmenting raw medical imaging data, meshing aids in a better and more precise understanding of the organs and structures of human body. The main goal of this paper is to collect and review the various available methods in meshing. Also, a comparison study of different meshing techniques that are available in biomedicine is performed.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8115
Author(s):  
Ebrahem A. Algehyne ◽  
Essam R. El-Zahar ◽  
Muhammad Sohail ◽  
Umar Nazir ◽  
Hussein A. Z. AL-bonsrulah ◽  
...  

The numerical, analytical, theoretical and experimental study of thermal transport is an active field of research due to its enormous applications and use in numerous systems. This report covers the impacts of thermal transport on pseudo-plastic material past over a horizontal, heated and stretched porous sheet. Modeling of energy conservation is based upon a generalized heat flux model along with a heat generation/absorption factor. The modeled phenomenon is derived in the Cartesian coordinate system under the usual boundary-layer approach proposed by Prandtl, which removes the complexity of the problem. The modeled rheology is obtained in the form of coupled, nonlinear PDEs. These derived PDEs are converted into ODEs with the engagement of similarity transformation. Afterwards, converted ODEs containing some emerging parameters have been approximated numerically with a powerful and effective scheme, namely the finite element approach. The obtained results are compared with the published findings as a limiting case of current research, and an excellent agreement in the obtained solution was found, which guarantees the effectiveness of the used methodology. Furthermore, it is recommended that the finite element approach is a good method among other existing methods and can be effectively applied to nonlinear problems arising in the mathematical modeling of different phenomenon.


2021 ◽  
Vol 13 (12) ◽  
pp. 168781402110671
Author(s):  
Xiuhua Yuan ◽  
Chong Wang ◽  
Qun Sun ◽  
Ling Zhao

In the process of surface treatment, steel wire brush can not only efficiently remove surface contaminants, such as deteriorated paint film and rust, but also increase the adhesive strength. However, the associated brush mechanics of material removal is still not clear. In order to reveal the brush mechanics of material removal, this paper assumed the tip of steel wire were ball–cone shaped, constructed contact force model, and calculated the brush grinding force under different process conditions based on finite element approach. The simulated results show that the brush grinding can be changed from plastic plowing to chip formation when the penetration depth is increased to 10 μm, then changed from chip formation to plastic plowing when the inclination angle is increased to 30°, respectively. The simulated value of brush force rises with the increasing penetration depth and inclination angle, which was consistent with the experimentally obtained values, and the relative errors are within 9%. The quantity of material removal increases with the ascending of penetration depth, and decreases with the ascending of inclination angle. This paper provides guidance to understand the mechanics of material removal, predict the brush grinding force, and contribute well to an automatic grinding control application.


2021 ◽  
pp. 2100398
Author(s):  
Nian Yu ◽  
Lei Gao ◽  
Ruiheng Li ◽  
Xialan Wu ◽  
Enci Wang

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