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公开(公告)号：US11474022B2
公开(公告)日：2022-10-18
申请号：US16886779
申请日：2020-05-29
Applicant: JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Lei Qin , Guanshi Wang , Chenliang Peng , Fangfang Xie , Shuo Zhang
Abstract: An ore volume-based zonal injection method for ionic rare earth includes six steps of ore body data acquisition; ore volume calculation by units; calculation of leaching agent consumption γ per unit ore volume; calculation of unit ore volume-based zoning range difference; merging of the units into injection zones; and injection.
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公开(公告)号：US11384410B2
公开(公告)日：2022-07-12
申请号：US16714788
申请日：2019-12-15
Applicant: Jiangxi University of Science and Technology
Inventor： Linsheng Wan , Liang Yang , Shuilong Wang , Hailong Wang , Xiang Xue , Xing Huang , Peng Liu
Abstract: The present invention discloses a method for decomposing medium-/low-grade scheelite, specifically comprising steps of: grinding medium-/low-grade scheelite, decomposing in an autoclave by using sodium phosphate and activated magnesium fluoride as leaching agents, and treating by solid-liquid separation to obtain crude sodium tungstate solution and residue. In this way, the medium-/low-grade scheelite is decomposed. Magnesium chloride is added in a sodium fluoride solution to prepare activated magnesium fluoride as a leaching agent. The present invention has the advantage that the high-efficiency decomposition of medium-/low-grade scheelite can be realized with low consumption of leaching agents, and the leaching cost can be greatly reduced in comparison to the existing decomposition processes using sodium hydroxide and sodium carbonate. This process is short in route, simple in operation, readily available and reliable in production equipment, and easy for industrialization.
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公开(公告)号：US11161152B2
公开(公告)日：2021-11-02
申请号：US16829373
申请日：2020-03-25
Applicant: JiangXi University of Science and Technology
Inventor： Hua Zhu , Zhizhang Chen , Haiqiang Hu
Abstract: The present disclosure relates to a Radix Codcnopsitis Pilosulas sorting and threading machine that rapidly sorts and automatically threads a Radix Codcnopsitis Pilosulas into a string. The Radix Codcnopsitis Pilosulas sorting and threading machine includes a bottom plate, a support leg, a mounting frame, an N-shaped frame, a feeding hopper, a baffle, a first roller, a first conveyor belt, a drive motor, a deep groove ball bearing and a spindle, where the mounting frame is fixedly mounted on the bottom plate through the support leg, the N-shaped frame is mounted on an upper left side of the mounting frame, the feeding hopper is mounted in the top of the mounting frame, two first rollers are rotatably mounted on an upper part of the mounting frame, and a first roller on the right is higher than a first roller on the left.
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24.发明申请公开(公告)号：US20200324295A1
公开(公告)日：2020-10-15
申请号：US16842817
申请日：2020-04-08
Applicant: JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Gaipin CAI , Chunsheng GAO , Zhihong JIANG , Guohu LUO
IPC: B02C2/00
Abstract: The embodiments of the present invention provide a crushing cavity structure for the technical field of crushing cavities of cone crushing equipment. The crushing cavity structure comprises: a first crushing cavity structure for through-crushing an input material having a first material characteristic, the first crushing cavity structure has a first crushing cavity and a first lining plate structure that match the first material characteristic, and the first crushing cavity and the first lining plate structure form a first-stage material crushing channel; a second crushing cavity structure for through-crushing a first-stage material having a second material characteristic, the first-stage material is obtained by the input material passing through the first-stage material crushing channel, the second crushing cavity structure has a second crushing cavity and a second lining plate structure that match the second material characteristic, and the second crushing cavity and the second lining plate structure form a second-stage material crushing channel.
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公开(公告)号：US12176515B2
公开(公告)日：2024-12-24
申请号：US16754736
申请日：2018-09-28
Inventor： Shinichiro Osumi , Tatsuya Nagai , Tetsuya Ito , Sheng Wen Zhong , Jun Chen , Qian Zhang , Min Zeng
IPC: H01M4/131 , H01M4/485 , H01M4/62 , H01M10/0525 , H01M4/02
Abstract: According to various aspects of the present invention, a positive electrode composition for a lithium-ion secondary battery includes an active material capable of inserting and extracting lithium ions, and a conductor, wherein the active material is a lithium-nickel-cobalt-manganese complex oxide; the conductor is a carbon black and carbon nanotubes; the carbon black has a BET specific surface area of 100 to 400 m2/g, and a DBP absorption of 210 to 380 ml/100 g; and the carbon nanotubes have an average diameter of 7 to 15 nm.
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Patent Agency Ranking
26.发明公开公开(公告)号：US20240233371A1
公开(公告)日：2024-07-11
申请号：US18540915
申请日：2023-12-15
Inventor： Maosen CAO , Ronghua FU , Tongfa DENG , Yufeng ZHANG , Xiangdong QIAN , Dragoslav Sumarac , Shuai LI , Kai ZHU
IPC: G06V20/10 , G06N3/0464
CPC classification number: G06V20/182 , G06N3/0464
Abstract: A depth-stage dependent and hyperparameter-adaptive lightweight CNN-based model, named Faster R-Stair, which relates to the field of concrete crack detection technology. The structure of the backbone in this model is depth-stage dependent, which includes suitable structures in different depths. The backbone is also hyperparameter-adaptive. The basic components in different depths of the backbone have variations according to the adjustment of some hyperparameters. The proposed model in this embodiment has the advantages of high convergence speed in training, fast detection speed and high accuracy when used in crack detection.
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27.发明公开公开(公告)号：US20240221357A1
公开(公告)日：2024-07-04
申请号：US18398205
申请日：2023-12-28
Inventor： Maosen CAO , Ronghua FU , Yufeng ZHANG , Tongfa Deng , Shuai LI , Dragoslav Sumarac
IPC: G06V10/764 , G06T7/00 , G06V10/77 , G06V10/774 , G06V10/82
CPC classification number: G06V10/764 , G06T7/0002 , G06V10/7715 , G06V10/774 , G06V10/82 , G06T2207/20081 , G06T2207/20084
Abstract: A three-stage modularized convolutional neural network (CNN) called Stairnet is disclosed for efficient classification of concrete cracks in images. Unlike traditional CNNs which exhibit similar structural characteristics in each layer, Stairnet is composed of three distinct parts: stair1, stair2, and stair3, each possessing its own unique structural characteristics. Stair1 exclusively consists of convolution layers, while stair2 incorporates a greater number of layers. Stair3, on the other hand, utilizes larger expansion factors and kernel size. Stair1 and stair2 exhibit various variations that result in their modification alongside certain parameters of Stairnet. In contrast to traditional CNNs utilized for the classification of thousands of classes, Stairnet stands out with its smaller model size, faster training speed, and high accuracy in classifying concrete cracks.
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28.发明公开公开(公告)号：US20240133126A1
公开(公告)日：2024-04-25
申请号：US18494493
申请日：2023-10-24
Applicant: JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Zeyi ZHANG
IPC: E01B25/30
CPC classification number: E01B25/30
Abstract: The present disclosure relates to the technical field of the permanent-magnetic track, and discloses a magnetic track module, a composite permanent-magnetic track and an installation method thereof. The magnetic track module comprises: at least two layers of magnetic units that are staggered in the first direction and stacked in the second direction with the same magnetization direction, wherein each magnetic unit is formed by a plurality of closely-arranged permanent magnets; and a bottom ferromagnetic plate that covers the lower surface of the bottom magnetic unit, with an attractive magnetic force existing between the bottom ferromagnetic plate and the adjacent magnetic unit.
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公开(公告)号：US11873541B2
公开(公告)日：2024-01-16
申请号：US16691632
申请日：2019-11-22
Applicant: JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Guanshi Wang , Ping Long , Shili Hu , Chenliang Peng , Lei Qin
Abstract: The present disclosure relates to a method for determining a source sink term of an ionic type rare earth ore leaching process. The method includes the following four steps: (1) determining an ion exchange selection coefficient of a rare earth ore sample; (2) determining the rare earth grade of the rare earth ore sample; (3) building a source sink term model of the ore leaching process; and (4) determining parameters in the source sink term model. The present disclosure can simulate the ionic type rare earth ore leaching process by combining a convection-dispersion equation, and determine the optimal concentration of the ore leaching agent. When an ammonium sulfate solution at an optimal concentration of 12.0 g/L is used to perform a column leaching test, the obtained rare earth leaching rate is up to 96.3 percent.
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公开(公告)号：US20230384209A1
公开(公告)日：2023-11-30
申请号：US18201782
申请日：2023-05-25
Applicant: Hohai University , Jiangxi University of Science and Technology , Jiangsu Dongjiao Intelligent Control Technology Group Co., Ltd.
Inventor： Maosen CAO , Li WEI , Jie WANG , Tongfa DENG , Dragoslav SUMARAC , Xiangdong QIAN , Lei SHEN , Nizar Faisal ALKAYEM , Drahomir NOVAK
CPC classification number: G01N17/008 , G01N3/08 , G01N2203/0019 , G01N2203/0073 , G01N2203/024
Abstract: An evaluation method for corrosion damage evolution of underwater concrete structures includes performing the time reversal test on the concrete beam specimen placed in the water, performing the uniaxial compression test on the concrete cube specimens; immersing the concrete beam specimen and the concrete cube specimens in a hydrochloric acid solution, and performing the time reversal test on the concrete beam specimen on the 10th, 20th and 30th days respectively. At the same time, a concrete cube specimen is taken out to perform the uniaxial compression test on the 10th, 20th and 30th days respectively; and using the above calculation results to evaluate the corrosion evolution process thereof without damaging the underwater concrete structure.
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