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Institution

Beijing Institute of Petrochemical Technology

EducationBeijing, China
About: Beijing Institute of Petrochemical Technology is a education organization based out in Beijing, China. It is known for research contribution in the topics: Catalysis & Corrosion. The organization has 2468 authors who have published 1937 publications receiving 19270 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a simple room-temperature synthetic route that achieves well-crystallized Pb100−xAgxSe alloy thin films by chemical bath deposition (CBD) was developed.

7 citations

Journal ArticleDOI
TL;DR: In this paper, precipitated iron catalysts containing structural promoters were prepared and their Fischer-Tropsch synthesis (FTS) performance was tested under the same reaction condition, which showed that the addition of Zr and Al promoters improved the reduction and carbonization process of iron-based FTS catalysts.
Abstract: Precipitated iron catalysts containing structural promoters were prepared and their Fischer–Tropsch synthesis (FTS) performance was tested under the same reaction condition. BET, XRD, H2-TPR, and MES were conducted to characterize the phases, structure, morphology, reducibility and carbonization characteristics of the catalysts. It was observed that the reduced catalysts under syngas(H2/CO = 5) promoted with Al/Zr generate more Fe5C2 phase than Si/Ti, which showed that Al/Zr promoted catalysts are more easily reduced than the Si/Ti promoted ones. Addition of Zr and Al promoters improved the reduction and carbonization process of iron-based FTS catalysts. FTS performance data showed that the addition of Al and Zr can increase the CO hydrogenation activity compared to Si and Ti. Moreover, these two promoted catalysts also exhibited excellent stability.

7 citations

Journal ArticleDOI
TL;DR: In this paper, the Galerkin finite element method was adopted to numerically simulate the hydro-mechanical coupled interaction based on the solver in the COMSOL Multiphysics software and Matlab scripting development.
Abstract: Shale heterogeneity has a significant effect on drilling and completions, hydraulic fracturing, as well as hydrocarbon development performance However, it lacks representation of rock damage/failure caused by the mechanical heterogeneity and “stress shadow” effect during the hydraulic fracturing process In this paper, the Galerkin finite element method was adopted to numerically simulate the hydro-mechanical coupled interaction based on the solver in the COMSOL Multiphysics software and Matlab scripting development The Weibull probability density function was used to represent the mechanical heterogeneity of gas shale Under the condition of fully fluid-solid coupling during the fracking process, the effect of mechanical heterogeneity on von – Mises stress, strain energy density, damage factor, and fluid pressure was numerically simulated in the gas shale wells The curves of von – Mises stress, strain energy density, and damage factor along a certain straight line showed the obvious decreasing distribution in a completely homogeneous formation As the strata are heterogeneously enhanced, their distribution curves showed fluctuations Moreover, von – Mises stress and strain energy density had a good relationship with damage factors Accordingly, the method of rock damage/fracture and "stress shadow" effect caused by mechanic heterogeneity was put forward under the circumstance of two–dimensional plane strain That was to use, the von – Mises stress or strain energy density at the single point or line to characterize the degree of local rupture or the shadow effect of stress, and the average strain energy density per unit area to characterize the degree of rupture of the rock or the intensity of the shadow effect The study is of great significance to further improve the SRV(Stimulated Reservoir Volume) fracturing design and the productivity of gas shale wells

7 citations

Proceedings ArticleDOI
28 Jul 2014
TL;DR: To implement this CPG controller in AVR system, several implementation techniques are presented which includes discretization, cosine curve approximation and variable overflow handling.
Abstract: This paper focuses on the implementation of AVR based Central Pattern Generator (CPG) controller. CPGs are biological networks that generate rhythmic outputs for the locomotion control of animals. Since previous CPG controllers are too complex to be suitable for microcontrollers, we propose a simple yet powerful linear CPG controller. To implement this controller in AVR system, several implementation techniques are presented which includes discretization, cosine curve approximation and variable overflow handling. Both simulations and experiments are carried out in an AVR-based robotic fish, which validate the effectiveness of our controller and implementation architecture.

6 citations

Journal ArticleDOI
TL;DR: In this paper, the cationic copolymerization of polyisobutylene-co-p-methylstyrene (IB/p-MS) with p-MS was thoroughly examined by using 2-chloro-2,4,4-trimethylpentane/ethylaluminiumsesquichloride/electron donor as initiating system.
Abstract: Poly(isobutylene-co-p-methylstyrene) (IB/p-MS) random copolymer is a new generation of polyisobutylene-based elastomers. The cationic copolymerization of IB with p-MS was thoroughly examined by using 2-chloro-2,4,4-trimethylpentane/ethylaluminiumsesquichloride/electron donor as initiating system. IB/p-MS random copolymers with high molecular weight were obtained at elevated temperature through the addition of ethyl acetate; the reaction proceeded in a mildly exothermic manner. Although the reactivity ratios of comonomer pairs differ by close to an order of magnitude, p-MS was uniformly distributed in the chains. IB/p-MS random copolymer can be brominated by adding molecular bromine into the copolymer solution, thereby yielding a completely saturated polymer backbone with a chemically reactive site. The types and selection of appropriate vulcanization systems for bromide-functionalized IB/p-MS random copolymers are also discussed. © 2016 Society of Chemical Industry

6 citations


Authors

Showing all 2499 results

NameH-indexPapersCitations
J. S. Lange1602083145919
Chao Zhang127311984711
S. J. Chen116155962804
Y. Ban104134649897
Min Zhang85154834853
Shan Jin8336537419
Y. J. Mao8182929089
Lei Zhang78148530058
Jialun Ping7367622314
Li Li6785522796
D. Y. Wang6463718612
M. Qi5846619175
J. G. Messchendorp5459312498
Xiangming He5248010801
Nasser Kalantar-Nayestanaki5169111500
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202293
2021264
2020219
2019211
2018173