Nano-scale particle classification using image histogram maximum value index of rayleigh scattered images

Author(s):  
K.K. Pahalawatta ◽  
R. Green
2005 ◽  
Vol 879 ◽  
Author(s):  
Steven L. Baxter

AbstractCertain forms of monohydrate aluminum oxide, commonly known as boehmite or pseudoboehmite alumina, are known to disperse in water at low pH to nano-scale dimensions. The upsurge of interest in nano-scale structures has prompted our study of the surface modification of nano-scale boehmite aluminas with organic acids in order to achieve dispersion of these materials in non-aqueous systems and alkaline aqueous systems.This paper discusses the variety of modifiers used to achieve compatibilization and dispersion of nano-sized particles of these boehmite aluminas in aqueous and organic matrices. Organic modification of a variety of crystallite sizes (5-60 nm) and shapes (plates, needles, blocks) has been achieved, including materials of high aspect ratio. We describe the properties of these dispersions, including primary particle size, dispersed particle size, and surface charge. Finally, we present physical property data of polymer nanocomposites prepared from these materials. These materials are based on a commercial process which has been in operation for over 40 years and which has global production capacities of 70,000 tons per annum.


2014 ◽  
Vol 665 ◽  
pp. 724-732
Author(s):  
Yan Tian ◽  
Chong Wu Ruan ◽  
Chen Hong Sui

Resolution is one of the basic and key indexes on assessing the quality of remote sensing image. However, it can not be concluded that the higher the image resolution, the better the segmentation result, since high resolution image contains not only more details of interested object, but also more redundant information of background which causes much difficulty on image segmentation and target recognition. To determine an optimal image resolution for image segmentation, an image pyramid with resolution continuously changing is built by down sampling and super-resolution techniques at first, and then an index called degree of image segmentation is presented based on the image histogram. Degree of image segmentation is a hybrid index which is designed based on integrating the area and symmetry of the valley of the image histogram. At last the optimal image resolution is determined by seeking the maximum value of degree of image segmentation from the images with different resolutions contained in the image pyramid. The experimental results illustrate that degree of image segmentation is directly related with the result of segmentation, and the degree of image segmentation presented in this paper is a good index to describe how well an image can be segmented in the viewpoint of quantitative and qualitative assessing.


2012 ◽  
Vol 138 (1) ◽  
pp. 50-57 ◽  
Author(s):  
Xin Tan ◽  
Xiaogang Zhang ◽  
Jiawei Chen

2007 ◽  
Vol 359-360 ◽  
pp. 329-334 ◽  
Author(s):  
Han Lian Liu ◽  
Chuan Zhen Huang ◽  
Xin Ying Teng ◽  
Hui Wang

The new thought for designing the multi-phase and multi-scale nanocomposites was proposed to improve the comprehensive mechanical properties. Multi-phase and multi-scale particles are added to the matrix, and one of the additives is nano-scale particle, thus the comprehensive mechanical properties can be improved by the synergic effects of micro-scale toughening, nano-scale strengthening and mutual benefit between multi-phases. The ideal microstructure of multi-phase and multi-scale nanocomposites was designed. With this microstructure, the trans/intergranular fracture modes can be formed, which will consume more fracture energy during the crack propagation, therefore, both the flexural strength and fracture toughness can be improved. An advanced ceramic tool material has been fabricated based on this new thought.


2003 ◽  
Vol 800 ◽  
Author(s):  
John J. Granier ◽  
Michelle L. Pantoya

ABSTRACTFlame propagation in Al/MoO3 thermites is measured as a function of bulk density and initial sample temperature. The composites are composed of nano-scale reactant particles mixed and pressure molded to between 49 and 73% of the theoretical maximum density. A relationship between cylindrical die pressure and final pellet density is derived. Experiments are also performed by initially pre-heating samples to a uniform temperature ranging from 20 to 200 °C. Ignition sensitivity was determined by measuring the ignition delay time and temperature using a 50-W CO2 laser and thermocouples, respectively. Combustion wave speeds were measured using high-speed imaging diagnostics. Results allow comparison of combustion behaviors associated with nano- vs. micron-scale particle composites. The nano-scale particle composites are extremely sensitive to ignition, especially when initially preheated. Combustion wave speeds for the compressed nano-composites were found to double when compared to the micron-scale composites.


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