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1,056 results on '"Li, Guangqiang"'

120. Numerical Understanding on Penetration and Corrosion Behavior of CaO–Al2O3–MeO Slag to Al2O3–MgO Refractory.

Author

Liu, Chang, Yang, Guangmei, Tan, Chong, Li, Guangqiang, Yan, Wen, Wang, Zhanmin, and Wang, Qiang

Subjects
REFRACTORY materials, LIQUIDUS temperature, METAMORPHOSIS, PENETRATION mechanics, POROSITY, CAPILLARIES, ALUMINUM foam, SLAG
Abstract

To enhance the comprehension of the corrosion mechanism of refractories induced by molten slag, a 2D numerical model was developed in the present work. This model simulates the penetration of CaO–Al2O3–MeO slag into Al2O3–MgO refractory, considering capillary forces, as well as viscous and inertial resistances within the porous matrix acting on the molten slag. Experimental observations and measurements were conducted to validate the accuracy of the model. Through simulation, we visually represented the slag penetration process, highlighting the metamorphic reaction resulting from the diffusion of slag components. Notably, small aggregate particles had minimal impact on slag penetration. Instead, they were entirely enveloped by molten slag, subsequently peeling off from the refractory. The depth of penetration (αslag = 0.05, αslag represents the volume fraction of liquid slag) exceeded three times the corrosion depth (αslag = 0.99). Within the region penetrated by molten slag, a portion of the refractory matrix underwent metamorphosis into the liquidus phase. Significantly, reducing porosity emerged as an effective strategy to control molten slag penetration. A 44.7 pct reduction in corrosion depth was achieved by decreasing porosity from 0.28 to 0.14. This numerical model offers valuable insights into the factors influencing refractory corrosion and presents a quantitative approach for optimizing refractory designs to enhance resistance against slag penetration. [ABSTRACT FROM AUTHOR]

Published
2024
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140. AsterixDB: A Scalable, Open Source BDMS

Author

Alsubaiee, Sattam, Altowim, Yasser, Altwaijry, Hotham, Behm, Alexander, Borkar, Vinayak, Bu, Yingyi, Carey, Michael, Cetindil, Inci, Cheelangi, Madhusudan, Faraaz, Khurram, Gabrielova, Eugenia, Grover, Raman, Heilbron, Zachary, Kim, Young-Seok, Li, Chen, Li, Guangqiang, Ok, Ji Mahn, Onose, Nicola, Pirzadeh, Pouria, Tsotras, Vassilis, Vernica, Rares, Wen, Jian, and Westmann, Till

Subjects
Computer Science - Databases
Abstract

AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set that distinguishes it from other platforms in today's open source Big Data ecosystem. Its features make it well-suited to applications like web data warehousing, social data storage and analysis, and other use cases related to Big Data. AsterixDB has a flexible NoSQL style data model; a query language that supports a wide range of queries; a scalable runtime; partitioned, LSM-based data storage and indexing (including B+-tree, R-tree, and text indexes); support for external as well as natively stored data; a rich set of built-in types; support for fuzzy, spatial, and temporal types and queries; a built-in notion of data feeds for ingestion of data; and transaction support akin to that of a NoSQL store. Development of AsterixDB began in 2009 and led to a mid-2013 initial open source release. This paper is the first complete description of the resulting open source AsterixDB system. Covered herein are the system's data model, its query language, and its software architecture. Also included are a summary of the current status of the project and a first glimpse into how AsterixDB performs when compared to alternative technologies, including a parallel relational DBMS, a popular NoSQL store, and a popular Hadoop-based SQL data analytics platform, for things that both technologies can do. Also included is a brief description of some initial trials that the system has undergone and the lessons learned (and plans laid) based on those early "customer" engagements.

Published
2014

142. Microstructure evolution of roll core during the preparation of composite roll by electroslag remelting cladding technology

Author

Cao Yulong, Li Guangqiang, Jiang Zhouhua, Dong Yanwu, Zhao Zhengrong, and Niu Chenrui

Subjects
composite roll, electroslag remelting cladding, in situ observation, microstructure evolution, austenization, Technology, Chemical technology, TP1-1185, Chemicals: Manufacture, use, etc., TP200-248
Abstract

In the present study, the comprehensive analyses based on the numerical simulation, in situ observation, and metallographic detection were carried out for the roll core of GCr15/45 carbon steel composite roll manufactured by the new electroslag remelting cladding (ESRC) method. During the ESRC process, the temperature distributions at the different radial and longitudinal positions of the roll core have great changes due to the different degrees of heat conduction from the slag bath, as a result, various microstructure and properties were obtained at the different positions of the roll core. The results illustrated that the ESRC process tended to be stable as the composite height reached a certain value and the high-temperature austenitization process mainly occurred in the radial regions where R > 60 mm, whereas no significant changes occurred at the areas where R ≦ 60 mm. The coarse grains and few Widmanstatten structures with proeutectoid ferrite were generated in the roll core areas near the bimetallic interface, while the fine grains with more proeutectoid ferrite were obtained in the roll core area away from the interface. Therefore, a higher tensile strength and a better plasticity were obtained for the specimens away from the interface.

Published
2020
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