Research status and development direction of controlling factors of graphite mineralization in coal measures

American Journal of Scientific Research and Essays ◽

10.28933/ajsre-2021-04-1805 ◽

2021 ◽

pp. 31

Author(s):

Keyword(s):

Research Direction ◽

Rock Composition ◽

Control Factors ◽

Influence Mechanism ◽

Development Direction ◽

Forming Temperature ◽

Coal Rock ◽

Coal Grade ◽

Coal Measures ◽

Degree Of Graphitization

Coal-measure graphite mineralization control is affected by many factors. In order to explore the ore-forming control factors and influence mechanism, the paper comprehensively analyzes the influence and mechanism of each factor from five aspects of coal rock composition, coal grade, temperature, pressure and mineralizer, combined with geological examples. The results show that in the process of graphite mineralization in coal measures, the components of coal and rock have the ability of graphitization, but the higher the degree of metamorphism of coal as carbon source, the higher the degree of graphitization of products, the higher the ore-forming temperature, and the higher the degree of graphitization. The development of tectonic movement promotes the graphitization, but the degree of graphitization is different and complicated due to the stress dissipation. Different minerals in coal have different effects on graphite mineralization in coal measures, and its mechanism needs to be further explored. Finally, it is pointed out that the research direction of coal series graphite lies in the different graphitization mechanism of the same rank coal and the different influence mechanism of different minerals in coal.

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2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search

International Journal of Automation and Computing ◽

10.1007/s11633-021-1292-1 ◽

2021 ◽

Author(s):

Wei Jia ◽

Wei Xia ◽

Yang Zhao ◽

Hai Min ◽

Yan-Xiang Chen

Keyword(s):

Deep Learning ◽

Recognition Performance ◽

Research Direction ◽

Palmprint Recognition ◽

Neural Architecture ◽

Development Direction ◽

Vein Recognition ◽

Palm Vein ◽

2D And 3D ◽

Important Research Direction

AbstractPalmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition and have achieved impressive results. In recent years, in the field of artificial intelligence, deep learning has gradually become the mainstream recognition technology because of its excellent recognition performance. Some researchers have tried to use convolutional neural networks (CNNs) for palmprint recognition and palm vein recognition. However, the architectures of these CNNs have mostly been developed manually by human experts, which is a time-consuming and error-prone process. In order to overcome some shortcomings of manually designed CNN, neural architecture search (NAS) technology has become an important research direction of deep learning. The significance of NAS is to solve the deep learning model’s parameter adjustment problem, which is a cross-study combining optimization and machine learning. NAS technology represents the future development direction of deep learning. However, up to now, NAS technology has not been well studied for palmprint recognition and palm vein recognition. In this paper, in order to investigate the problem of NAS-based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct a performance evaluation of twenty representative NAS methods on five 2D palmprint databases, two palm vein databases, and one 3D palmprint database. Experimental results show that some NAS methods can achieve promising recognition results. Remarkably, among different evaluated NAS methods, ProxylessNAS achieves the best recognition performance.

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Research on Tool Materials for High-Speed Cutting

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.4792 ◽

2014 ◽

Vol 644-650 ◽

pp. 4792-4794 ◽

Cited By ~ 1

Author(s):

Guo Ru Xie ◽

Wei An Xie

Keyword(s):

High Speed ◽

Cutting Tool ◽

Cutting Tools ◽

Research Direction ◽

Advanced Manufacturing ◽

High Speed Cutting ◽

Tool Materials ◽

Coated Tools ◽

Development Direction ◽

Cutting Tool Materials

The high-speed cutting is an advanced manufacturing technology with efficient, high quality and low consume, it is also the development direction of cutting. The concept and characteristic of high-speed cutting is discussed. The performance and application of the major tool materials (such as ceramic cutting tools, diamond tools, CBN tools, coated tools) for high-speed cutting is described. At last, the paper discusses the developing prospect and research direction for high-speed cutting tool materials.

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Adaption of Theoretical Adsorption Model on Coal: Physical Structure

Frontiers in Earth Science ◽

10.3389/feart.2021.691311 ◽

2021 ◽

Vol 9 ◽

Author(s):

Wu Guodai ◽

Pan Linhua ◽

Huang Bingxiang ◽

Luan Jinhua ◽

Zhang Ye ◽

...

Keyword(s):

Physical Structure ◽

Langmuir Model ◽

Structural Deformation ◽

Adsorption Model ◽

Rock Composition ◽

R And D ◽

Adsorption Performance ◽

Coal Deformation ◽

Coal Rock ◽

Coal Reservoir

With the motivation to investigate the role of coal physical structure on the adsorption performance of coal reservoir, 18 different types of coal samples with different coal structures were collected from six coal profiles of four production mines located at China. The adsorption characteristics of CH4 on coal samples with different coal structures were examined, and then experimental results were fitted and analyzed by the Langmuir model and the adsorption potential model (D-R and D-A). The prominent factors in terms of adsorption capacity of coal with different coal structures and its adaptability to the model were discussed. Results indicate the following: a) under the condition of a similar coal rank, the adsorption performance of coal is governed by coal rock composition and adsorption heat, the effect of structural deformation on the adsorption performance of coal is not obvious; b) the Langmuir model has a certain adaptability to coal samples with different coal structures, while the D-R model is evidently not suitable to describe coal samples with scaly coal, part of broken coal with small vitrinite content; c) the D-A model has a high adaptability to coal samples with various coal structure types, and the stronger the coal deformation is, the higher the accuracy is.

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The Theoretical Research on Development Direction of Cement Grinding Aids

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.668.269 ◽

2013 ◽

Vol 668 ◽

pp. 269-273

Author(s):

Jian Feng Wang ◽

Dong Min Wang ◽

Duan Le Li ◽

Guan Bao Tang ◽

Cheng Du

Keyword(s):

High Performance ◽

Low Cost ◽

Research Direction ◽

Structure Design ◽

Theoretical Research ◽

Application Performance ◽

Grinding Aids ◽

Development Direction ◽

Cement Additive ◽

Cement Grinding

Cement grinding aids has been widely used in cement grinding process. The development of traditional compound cement grinding aids, such as triethanolamine and salts based has encountered a bottleneck. Synthesis of cement grinding aids can be improved by the molecular structure design of traditional cement grinding aids, or even lay aside the shackles of traditional cement additive and synthesize high-grinding effect, high performance and low cost cement grinding aids. In this paper, it has proposed two types of cement additives research direction，medium-small molecule and polymer synthesis system. Finally, it had introduced the application performance advantages of two new synthetic grinding aids, compared to triethanolamine and triisopropanolamine.

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