Quantitative Analysis and Research of Cement Powder Mixing Based on Image Processing

Tao Ye; Hai Lun Yang

doi:10.4028/www.scientific.net/AMR.139-141.290

Paper Titles

WC-Co Tool Failure Analysis and the Grinding Effect Study
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Anti-Wear and Friction-Reducing Characteristics of Two Kinds of Ceramic Additives
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Study on Filling Capacity of Semi-Solid Magnesium Alloy
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On Isotropic Damage Distributions and Evolutions of HRR Field
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Quantitative Analysis and Research of Cement Powder Mixing Based on Image Processing
p.290

Research on Characteristics of Deposition Precipitation Process in Production of Low Carbon Aluminum-Killed Steel in FTSR Technology
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Comparison of the Electrochemical Behaviors Among 5083/6082 Friction Stir Welding Dissimilar Weld and Parent Materials
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Study on Method to Dissected Data of Wood Cell Image
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Study on the Ballistic Performance of Ceramic Composite Armor with Different Adhesive
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 139-141Quantitative Analysis and Research of Cement...

Quantitative Analysis and Research of Cement Powder Mixing Based on Image Processing

Abstract:

As technology develops, digital image processing technology has become a new method for studying particle property and a necessary means for particle analysis. This method helps researchers to gain deeper understanding of microstructure and property of powder particles. In the paper, samples are composed with two kinds of cement powders: cement clinker and slag powder, which have different characteristics and shapes. The paper analyzed the characteristics of different ingredient and mixing evenness degree of cement sample by using the technology of SEM backscattered electron image and the theoretical calculation model. On the basis of experimental analysis, a new method was proposed to quantitatively analyze evenness degree for the cement mixture basing on image processing, which adopts the advanced microscopic analysis technology. This new method is tested by experiments, and results prove that this method is effective and is superior to other methods.

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Periodical:

Advanced Materials Research (Volumes 139-141)

Pages:

290-293

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.139-141.290

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Online since:

October 2010

Authors:

Tao Ye, Hai Lun Yang

Keywords:

Backscattered Scanning Imaging Reconstruction, Evaluation on Evenness Degree, Powder Mixing

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