A Method to Evaluate Low Voltage Supply System’s Reliability

2014 ◽  
Vol 577 ◽  
pp. 1269-1273
Author(s):  
Shao Yu Tian ◽  
Gao Jie Dai ◽  
Peng Song Wang ◽  
Hai Qin Li
Keyword(s):  
Boundary Conditions ◽  
Index System ◽  
Low Voltage ◽  
Supply System ◽  
Statistical Index ◽  
Voltage Supply ◽  
Statistical Boundary ◽  
Definition Of

The low voltage supply system’s reliability play an important role on improving equipment’s operation level and standards of management, this paper proposed a method to evaluate the reliability of low voltage supply system .The method was composed of four parts: statistical index system, definition of every index’s meaning and statistical formulas, confirming the statistical boundary conditions. In order to test the effective and practicability of the method, this paper evaluated the low voltage power supply’s reliability of BinZhou and the results are satisfactory.

Needle-disk Electrospinning: Mechanism Elucidation, Parameter Optimization and Productivity Improvement

2020 ◽  
Vol 14 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Zhi Liu ◽  
Lei Zhou ◽  
Fangtao Ruan ◽  
Anfang Wei ◽  
Jianghui Zhao ◽  
...  
Keyword(s):  
Parameter Optimization ◽  
Low Voltage ◽  
Rotation Velocity ◽  
Needle Length ◽  
Productivity Improvement ◽  
Voltage Supply ◽  
Nanofiber Morphology ◽  
Disk Rotation ◽  
Industrial Employment ◽  
Spinning Process

Background: Nanofiber’s productivity plagues nanofibrous membranes’ applications in many areas. Herein, we present the needle-disk electrospinning to improve throughput. In this method, multiple high-curvature mentals are used as the spinning electrode. Methods: Three aspects were investigated: 1) mechanism elucidation of the needle-disk electrospinning; 2) parameter optimization of the needle-disk electrospinning; 3) productivity improvement of the needle-disk electrospinning. Results: Results show that high-curvature electrode evokes high electric field intensity, making lower voltage supply in spinning process. The needle number, needle length and needle curvature synergistically affect the spinning process and nanofiber morphology. Additionally, higher disk rotation velocity and higher voltage supply can also result in higher nanofiber’s productivity. Conclusion: Compared with previous patents related to this topic, the needle-disk electrospinning is featured with the merits of high throughput, low voltage supply, controllable spinning process and nanofiber morphology, benefiting the nanofiber practical industrial employment and further applications of nanofiber-based materials.

scholarly journals Shape Sensing of a Complex Aeronautical Structure with Inverse Finite Element Method

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1388
Author(s):  
Daniele Oboe ◽  
Luca Colombo ◽  
Claudio Sbarufatti ◽  
Marco Giglio
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Boundary Conditions ◽  
Strain Field ◽  
Element Analysis ◽  
Inverse Finite Element Method ◽  
Shape Sensing ◽  
Definition Of ◽  
High Level ◽  
Element Method

The inverse Finite Element Method (iFEM) is receiving more attention for shape sensing due to its independence from the material properties and the external load. However, a proper definition of the model geometry with its boundary conditions is required, together with the acquisition of the structure’s strain field with optimized sensor networks. The iFEM model definition is not trivial in the case of complex structures, in particular, if sensors are not applied on the whole structure allowing just a partial definition of the input strain field. To overcome this issue, this research proposes a simplified iFEM model in which the geometrical complexity is reduced and boundary conditions are tuned with the superimposition of the effects to behave as the real structure. The procedure is assessed for a complex aeronautical structure, where the reference displacement field is first computed in a numerical framework with input strains coming from a direct finite element analysis, confirming the effectiveness of the iFEM based on a simplified geometry. Finally, the model is fed with experimentally acquired strain measurements and the performance of the method is assessed in presence of a high level of uncertainty.

scholarly journals Computational Analysis of the Pulmonary Arteries in Congenital Heart Disease: A Review of the Methods and Results

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
M. Conijn ◽  
G. J. Krings
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Boundary Conditions ◽  
Congenital Heart ◽  
Treatment Options ◽  
Pulmonary Arteries ◽  
Original Research ◽  
Numerical Studies ◽  
Computational Fluid Dynamics Cfd ◽  
Definition Of

With the help of computational fluid dynamics (CFD), hemodynamics of the pulmonary arteries (PA’s) can be studied in detail and varying physiological circumstances and treatment options can be simulated. This offers the opportunity to improve the diagnostics and treatment of PA stenosis in biventricular congenital heart disease (CHD). The aim of this review was to evaluate the methods of computational studies for PA’s in biventricular CHD and the level of validation of the numerical outcomes. A total of 34 original research papers were selected. The literature showed a great variety in the used methods for (re) construction of the geometry as well as definition of the boundary conditions and numerical setup. There were 10 different methods identified to define inlet boundary conditions and 17 for outlet boundary conditions. A total of nine papers verified their CFD outcomes by comparing results to clinical data or by an experimental mock loop. The diversity in used methods and the low level of validation of the outcomes result in uncertainties regarding the reliability of numerical studies. This limits the current clinical utility of CFD for the study of PA flow in CHD. Standardization and validation of the methods are therefore recommended.

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