scholarly journals Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function

2021 ◽  
Author(s):  
Marco Fedele ◽  
Alfio Quarteroni
Keyword(s):  
Numerical Simulation ◽  
Cardiac Function ◽  
Mesh Generation ◽  
Surface Processing ◽  
Polygonal Surface

scholarly journals CFD NUMERICAL SIMULATION OF TEMPERATURE AND AIRFLOW DISTRIBUTION IN PIGSTY BASED ON GRID INDEPENDENCE VERIFICATION

2020 ◽  
Vol 61 (2) ◽  
pp. 241-250 ◽  
Author(s):  
Min Jin ◽  
Chunguang Wang ◽  
Pengpeng Wang
Keyword(s):  
Numerical Simulation ◽  
Relative Error ◽  
Mesh Generation ◽  
Average Relative Error ◽  
Airflow Velocity ◽  
The Third ◽  
Airflow Distribution ◽  
Cfd Numerical Simulation ◽  
Grid Independence

Grid independence verification was implemented to improve the reliability of CFD numerical simulation in pigsty. The effects of four different grid numbers on airflow and temperature simulation of 0.4m, 1.0m and 1.6m heights were compared. The results showed that the third method of mesh generation and the grid numbers about 2.09 million were more suitable for this pigsty model. The average relative error of airflow velocity and temperature between the simulated and the measured alues were 7.1% and 3.8% respectively, the average NMSE were 0.0012 and 0.0066 respectively. Therefore, grid independence verification is of great significance for CFD numerical simulation.

Different Approaches to the Choice of Coordinate System for Left-Ventricular FE-Mesh Generation

2008 ◽  
Author(s):  
Hon Fai Choi ◽  
Ming Wu ◽  
Jan D’hooge ◽  
Frank E. Rademakers ◽  
Piet Claus
Keyword(s):  
Finite Element ◽  
Cardiac Function ◽  
Coordinate System ◽  
Mesh Generation ◽  
Tissue Characterization ◽  
Left Ventricular ◽  
Physiological Parameters ◽  
In Vivo Evaluation

The modern in-vivo evaluation of cardiac patho-physiology requires the integration of different data on cardiac function, tissue characterization, perfusion etc. and aims at the extraction of relevant physiological parameters that combine these data. For these purposes, the use of finite element (FE) models is becoming an increasingly important part of cardiac analysis [1].

Primary Study on Electron Beam Surfi-Sculpt of Ti-6Al-4V

2011 ◽  
Vol 418-420 ◽  
pp. 772-776
Author(s):  
Xi Chang Wang ◽  
Shui Li Gong ◽  
En Ming Guo ◽  
Haiyan Zhao ◽  
Heng Dong Xu
Keyword(s):  
Numerical Simulation ◽  
Surface Tension ◽  
Electron Beam ◽  
Control System ◽  
Metal Surface ◽  
Vapour Pressure ◽  
Dominant Role ◽  
Primary Study ◽  
Surface Processing ◽  
Forming Mechanism

Electron beam surfi-sculpt is a new metal surface processing technology, which is potentially used in many areas. In this paper, forming mechaniam of electron beam surfi-sculpt has been investigated by experiments and numerical simulation. Electron beam surfi-sculpt of Ti-6Al-4V was realized by a new control system and a innovative hexagon scanning waveform. At the same time, microstructure of protrusions was analysed. All the results of experiments and simulation show that forming mechanism is the interaction of vapour pressure and surface tension, but surface tension plays a dominant role during electron beam surfi-sculpt process.

Mechanical evaluation of cardiac function in heart with disease by numerical simulation

2006 ◽  
Vol 39 ◽  
pp. S406
Author(s):  
M. Tsutsumi ◽  
K. Yanagisawa ◽  
T. Inaba ◽  
M. Tokuda
Keyword(s):  
Numerical Simulation ◽  
Cardiac Function

scholarly journals The Influence of Meshing Strategies on The Numerical Simulation of Solar Greenhouse Dryer

2021 ◽  
Vol 947 (1) ◽  
pp. 012007
Author(s):  
Viet. T. Tran ◽  
Yen. H.P. Duong ◽  
Tan M. Le
Keyword(s):  
Numerical Simulation ◽  
Temperature Distribution ◽  
Relative Humidity ◽  
Mesh Generation ◽  
Optimum Conditions ◽  
Ansys Fluent ◽  
Solar Greenhouse ◽  
Hexahedral Meshing ◽  
Fluent Software ◽  
Tetrahedral Meshing

Abstract In the present study, we conduct the numerical simulation for solar greenhouse dryer performance by Ansys Fluent software. The numerical simulations compared the meshing strategies for the dryer and show the effects on both temperature distribution and relative humidity distribution of air inside the dryer. Unstructured meshes were used in the numerical simulation employing hexahedral meshing and tetrahedral meshing for mesh generation. The meshing strategies were evaluated through 2 size of cell i.e., 0.1 m and 0.05m. The results indicated that the size of cell have strong effect than the mesh type on the temperature profile and humidity of air inside the dryer. Thus, the results gave the engineers more options to select the optimum conditions for meshing and simulation the dryer.

Hexahedron-Dominant Mesh Generation for Blocks with Constrained Triangulated Boundary Surfaces

2014 ◽  
Vol 580-583 ◽  
pp. 2983-2989
Author(s):  
Xue Bin Pei ◽  
Neng Xiong Xu
Keyword(s):  
Numerical Simulation ◽  
Simulation Model ◽  
Mesh Generation ◽  
Three Dimensional ◽  
Geological Model ◽  
Hexahedral Mesh ◽  
Geological Structures ◽  
The Core ◽  
Boundary Surfaces ◽  
Simple Block

In the field of geotechnical engineering, a numerical simulation model is established by meshing a three-dimensional geological model, which is composed of many seamlessly connected blocks. Each block is enclosed with constrained, triangulated boundary surfaces and called as a constrained block. Due to the complexity of geological structures, a three-dimensional geological model is very complicated in most cases, and will be very difficult to decompose this kind of model into hexahedral mesh by those commonly-used methodologies. Thus, we propose a new mesh generation method which is special for blocks with constrained, triangulated boundary surfaces: hexahedron-dominant mesh generation based on templates (HMGT). In this method, several regular blocks including cuboids, prism, pyramid, tetrahedron, cylinder and their combinations, are decomposed into hexahedron-dominant meshes that serve as mesh templates. Then, a constrained block is abstracted into a simple block, and the simple block is divided into two parts by shrinking: the crust and core. Next, a mesh template of regular blocks or their combinations is selected and mapped to the core of the simple block, and the crust of which is filled with pyramids and tetrahedra in order to obtain the subdivision of the simple block. Finally, the mesh of a simple block is directly mapped to the original constrained block to generate target hexahedron-dominant mesh.

scholarly journals Optimization with missing data

2006 ◽  
Vol 462 (2067) ◽  
pp. 935-945 ◽  
Author(s):  
Alexander I.J Forrester ◽  
András Sóbester ◽  
Andy J Keane
Keyword(s):  
Numerical Simulation ◽  
Prior Knowledge ◽  
Mesh Generation ◽  
Design Space ◽  
Global Optimum ◽  
Engineering Optimization ◽  
Optimization Strategy ◽  
Design Improvement ◽  
Computer Based ◽  
User Intervention

Engineering optimization relies routinely on deterministic computer based design evaluations, typically comprising geometry creation, mesh generation and numerical simulation. Simple optimization routines tend to stall and require user intervention if a failure occurs at any of these stages. This motivated us to develop an optimization strategy based on surrogate modelling, which penalizes the likely failure regions of the design space without prior knowledge of their locations. A Gaussian process based design improvement expectation measure guides the search towards the feasible global optimum.

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