Characterization of 2450‐MHz microwave thermal coagulation zone based on characteristic length growth model and shape variation factor

2019 ◽  
Vol 29 (6) ◽  
pp. e21705 ◽  
Author(s):  
Hongjian Gao ◽  
Xiaoru Wang ◽  
Shuicai Wu ◽  
Zhuhuang Zhou ◽  
Yanping Bai ◽  
...  
Fractals ◽  
1993 ◽  
Vol 01 (03) ◽  
pp. 671-679 ◽  
Author(s):  
A. BEGHDADI ◽  
C. ANDRAUD ◽  
J. LAFAIT ◽  
J. PEIRO ◽  
M. PERREAU

We propose the configuration entropy as an efficient tool of characterization of the disorder of random morphologies and as a pertinent morphological parameter for describing the optical properties. When increasing the size of observation of an image, it undergoes a maximum at a characteristic length which is the optimum length at which the image must be observed to get the maximum information. When applied to computer simulated images, the configuration entropy is more powerful, less ambiguous and less sensitive to the finite size of images than the generalized fractal dimension.


2007 ◽  
Vol 21 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Youssef Masharawi ◽  
Khalil Salame ◽  
Yigal Mirovsky ◽  
Smadar Peleg ◽  
Gali Dar ◽  
...  

Author(s):  
Molin Su ◽  
Lianyong Xu ◽  
Chentao Peng ◽  
Yongdian Han ◽  
Lei Zhao

2014 ◽  
Vol 551 ◽  
pp. 434-438
Author(s):  
Ding Gui Wu ◽  
Tie Qiang Gang ◽  
Xian Guang Fan ◽  
Jing Lin Wu

Conventionally several statistical roughness parameters are used for describing surface roughness. But instruments with different resolutions and scan lengths yield different results of these statistical parameters for the same surface. Due to the limitations of traditional characterizing methods, the fractal characteristic of the rough surface is studied in this paper. A surface roughness measuring instrument is redesigned based on the on theTalysurf5Μ for both hardware and software. The signal conditioning process of the inductance sensor is analyzed. The grinding samples measurements indicate that work-piece surface presents fractal characteristic, and larger roughness level Ra corresponds to larger fractal dimensionDbut smaller characteristic length scaleG. The fractal characterization of surface roughness, to some extent, overcomes the deficiencies of conventional evaluation method, and shows higher sensitivity and accuracy.


Author(s):  
Alessio Suman ◽  
Annalisa Fortini ◽  
Nicola Aldi ◽  
Michele Pinelli ◽  
Mattia Merlin

The concept of smart morphing blades, which can control themselves to reduce or eliminate the need for active control systems, is a highly attractive solution in blade technology. In this paper an innovative passive control system based on Shape Memory Alloys (SMAs) is proposed. On the basis of previous thermal and shape characterization of a single morphing blade for a heavy-duty automotive cooling axial fan, this study deals with the numerical analysis of the aerodynamic loads acting on the fan. By coupling CFD and FEM approaches it is possible to analyze the actual blade shape resulting from both the aerodynamic and centrifugal loads. The numerical results indicate that the polymeric blade structure ensures proper resistance and enables shape variation due to the action of the SMA strips.


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