公开(公告)号：US11840751B2

公开(公告)日：2023-12-12

申请号：US17053293

申请日：2020-05-19

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Wei Zhang ,  Yanhui Li ,  Leiqiang Lai

IPC: C22C1/00 ,  C22C29/14 ,  C22C30/00 ,  C22C45/00 ,  C01B35/04 ,  C21D1/42 ,  C21D1/74 ,  C22C1/11

CPC classification number: C22C29/14 ,  C01B35/04 ,  C21D1/42 ,  C21D1/74 ,  C22C1/11 ,  C22C30/00 ,  C22C45/00

Abstract: Boron-based amorphous alloys and a preparation method thereof is provided. The composition formula of the alloys is BaCobREcX1dX2eX3f, wherein RE is any one or more of La, Ce, Pr, Nd, Sm, Gd, Dy, Er and Y; X1 is any one or more of C, Si and Al; X2 is any one or two of Fe and Ni; X3 is any one or more of Zr, Nb, Mo, Hf, Ta and W; and a, b, c, d, e and f respectively represent atomic percent of each corresponding element in the formula, where: 45≤a≤55, 25≤b≤40, 10≤c≤20, 0≤d≤10, 45≤a+d≤55, 0≤e≤20, 25≤b+e≤40, 0≤f≤3, 10≤c+f≤20 and a+b+c+d+e+f=100. The preparation method of the boron-based amorphous alloy comprises: preparing master alloy ingots using an arc furnace or an induction melting furnace; and then obtaining amorphous ribbons with different thicknesses by a single copper roller melt-spinning equipment.

公开(公告)号：US20230381712A1

公开(公告)日：2023-11-30

申请号：US18447072

申请日：2023-08-09

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY ,  BEIJING CARBON CYCLE TECHNOLOGY

Inventor： Shaoyun CHEN ,  Yuxue LI ,  Li QI ,  Yongchun ZHANG

IPC: B01D53/053 ,  B01D53/26 ,  B01D53/04

CPC classification number: B01D53/053 ,  B01D53/265 ,  B01D53/0423 ,  B01D53/0446 ,  B01D2258/0283 ,  B01D2256/22 ,  B01D2256/10 ,  B01D2257/302

Abstract: A system for synchronously recovering nitrogen and carbon dioxide from boiler flue gas includes: a flue gas pretreatment system used for dehydrating and cooling boiler flue gas; a carbon and nitrogen separation system communicated with the flue gas pretreatment system, and used for performing pressure swing adsorption on the pretreated flue gas and separating the nitrogen-containing vent gas and the crude carbon dioxide gas; a carbon dioxide secondary purification system communicated with the carbon and nitrogen separation system, and used for performing secondary purification on the crude carbon dioxide gas separated from the carbon and nitrogen separation system; and a nitrogen concentration and purification system communicated with the carbon and nitrogen separation system and the carbon dioxide secondary purification system, and used for purifying the nitrogen-containing vent gas separated from the carbon and nitrogen separation system and the vent gas generated by the carbon dioxide secondary purification system.

公开(公告)号：US11828820B2

公开(公告)日：2023-11-28

申请号：US17780787

申请日：2019-12-03

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Huolin Huang ,  Hui Zhang

IPC: G01R33/07 ,  G01R33/02 ,  H10B61/00 ,  H10N52/01 ,  H10N52/80 ,  H10N52/00

CPC classification number: G01R33/072 ,  G01R33/0206 ,  G01R33/077 ,  H10B61/20 ,  H10N52/01 ,  H10N52/101 ,  H10N52/80

Abstract: A high-temperature three-dimensional Hall sensor with a real-time working temperature monitoring function includes a buffer layer, an epitaxial layer, and a barrier layer sequentially grown on a substrate. A high-density two-dimensional electron gas is induced by polarization charges in a potential well at an interface of heterojunctions of the epitaxial layer. A lower surface of the substrate includes a vertical Hall sensor for sensing a magnetic field parallel to a surface of a device. An upper surface of the barrier layer includes a “cross” horizontal Hall sensor for sensing a magnetic field perpendicular to the surface of the device.

公开(公告)号：US11823057B2

公开(公告)日：2023-11-21

申请号：US16981682

申请日：2020-02-28

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yanhua Ma ,  Xian Du ,  Ximing Sun ,  Weiguo Xia

IPC: G06N3/084 ,  G06N3/048

CPC classification number: G06N3/084 ,  G06N3/048

Abstract: An intelligent control method for a dynamic neural network-based variable cycle engine is provided. By adding a grey relation analysis method-based structure adjustment algorithm to the neural network training algorithm, the neural network structure is adjusted, a dynamic neural network controller is constructed, and thus the intelligent control of the variable cycle engine is realized. A dynamic neural network is trained through the grey relation analysis method-based network structure adjustment algorithm designed by the present invention, and an intelligent controller of the dynamic neural network-based variable cycle engine is constructed. Thus, the problem of coupling between nonlinear multiple variables caused by the increase of control variables of the variable cycle engine and the problem that the traditional control method relies too much on model accuracy are effectively solved.

公开(公告)号：US20230365430A1

公开(公告)日：2023-11-16

申请号：US18315484

申请日：2023-05-10

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yongchen SONG ,  Huilian SUN ,  Lunxiang ZHANG ,  Jiafei ZHAO ,  Lingjie SUN ,  Zheng LING ,  Lei YANG ,  Yu LIU ,  Weiguo LIU ,  Yanghui LI ,  Xiang SUN ,  Lanlan JIANG

IPC: C02F1/04 ,  B01D5/00 ,  B01D1/30 ,  B01D9/00 ,  C02F101/20 ,  C02F103/16

CPC classification number: C02F1/048 ,  B01D5/006 ,  B01D1/30 ,  B01D9/0031 ,  B01D5/0006 ,  B01D9/0013 ,  B01D5/0051 ,  C02F2101/20 ,  C02F2209/02 ,  C02F2103/16 ,  C02F2209/03

Abstract: The present disclosure relates to the technical field of wastewater treatment, and provides a wastewater treatment method and apparatus based on hydrate-based water vapor adsorption. The apparatus includes a wastewater evaporation zone, a hydrate formation zone, a hydrate decomposition zone, and a data acquisition and control system. Rising water vapor and condensed water formed during evaporation of wastewater at normal temperature react with a hydrate former on a cooling wall surface to form a hydrate, continuous evaporation of the wastewater is promoted, the hydrate is scraped off to a collecting zone below by a scraper after being formed, and the hydrate is decomposed into fresh water, thereby realizing wastewater treatment. The present disclosure provides a method for treating complex wastewater containing a plurality of pollutants, where water vapor is consumed to form the hydrate to promote wastewater evaporation, and water obtained from the decomposition does not contain pollutants theoretically.

公开(公告)号：US11810359B2

公开(公告)日：2023-11-07

申请号：US17557933

申请日：2021-12-21

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xin Yang ,  Xiaopeng Wei ,  Yu Qiao ,  Qiang Zhang ,  Baocai Yin ,  Haiyin Piao ,  Zhenjun Du

IPC: G06V10/00 ,  G06V20/40 ,  G06V10/46 ,  G06V10/82 ,  G06T3/40 ,  G06T7/215 ,  G06T9/00 ,  G06V10/72 ,  G06V10/764 ,  G06V10/778 ,  G06V10/774 ,  G06V10/776 ,  G06T7/10 ,  G06F18/21 ,  G06F18/214

CPC classification number: G06V20/49 ,  G06F18/217 ,  G06F18/2155 ,  G06T3/4007 ,  G06T3/4046 ,  G06T7/10 ,  G06T7/215 ,  G06T9/002 ,  G06V10/46 ,  G06V10/72 ,  G06V10/764 ,  G06V10/776 ,  G06V10/778 ,  G06V10/7753 ,  G06V10/82 ,  G06V20/41 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The present invention belongs to the technical field of computer vision, and provides a video semantic segmentation method based on active learning, comprising an image semantic segmentation module, a data selection module based on the active learning and a label propagation module. The image semantic segmentation module is responsible for segmenting image results and extracting high-level features required by the data selection module; the data selection module selects a data subset with rich information at an image level, and selects pixel blocks to be labeled at a pixel level; and the label propagation module realizes migration from image to video tasks and completes the segmentation result of a video quickly to obtain weakly-supervised data. The present invention can rapidly generate weakly-supervised data sets, reduce the cost of manufacture of the data and optimize the performance of a semantic segmentation network.

公开(公告)号：US11796031B2

公开(公告)日：2023-10-24

申请号：US17047592

申请日：2019-03-04

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xing Fu ,  Hongnan Li ,  Wenlong Du

IPC: F16F15/03 ,  H02K49/04 ,  E04B1/98 ,  F16H1/22

CPC classification number: F16F15/035 ,  H02K49/046 ,  E04B1/98 ,  F16F2222/06 ,  F16F2230/0005 ,  F16F2230/0052 ,  F16F2230/10 ,  F16F2232/00 ,  F16H1/22

Abstract: An axial displacement amplified eddy current damper is disclosed. The axial movement of a slide bar is converted into the rotation of copper sheets and generates eddy current for energy consumption. The copper sheets are rotated and amplified by adjusting the sizes of gears. The short displacement of the slide bar can cause a large angle rotation of the copper sheets, so that energy consumption efficiency is high. The damping parameter can be adjusted by adjusting the magnetic field strength of permanent magnets, the thickness of the copper sheets and the distance from the copper sheets to the permanent magnets. The permanent magnets are adopted to provide continuous magnetic field sources, without external energy, thereby generating long-term and stable vibration reduction effect.

公开(公告)号：US20230311052A1

公开(公告)日：2023-10-05

申请号：US18191898

申请日：2023-03-29

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yongchen Song ,  Lanlan Jiang ,  Mingjun Yang ,  Zucheng Cheng ,  Yu Liu ,  Yingying Liu ,  Bingbing Chen ,  Cong Chen ,  Jiafei Zhao ,  Yi Zhang

IPC: B01D53/00 ,  C01B32/50 ,  C10L3/10

CPC classification number: B01D53/002 ,  C01B32/50 ,  C10L3/108 ,  C01B2210/0009 ,  C10L2290/06 ,  B01D2257/504 ,  B01D2256/245 ,  B01D2258/05

Abstract: A device for separating and sequestrating carbon dioxide coupled with cold storage in mixed gas via hydrate method, which belongs to the technical field of application of natural gas hydrates includes a gas compression device, a refrigeration cycle device, a hydrate formation/decomposition device, a hydrate cold storage device, a water circulation device and a sensing and monitoring device; taking the separation and sequestration of biogas as an example, the refrigeration cycle device enables the cooling of biogas, decomposition of gas at all levels, hydrate, and circulating water to provide the low-temperature conditions required for hydrate formation; the hydrate cold energy storage device can fully use the latent heat of hydrate phase change to provide the required cooling capacity on the user side; the water circulation device can realize the recycling of decomposition water to ensure the continuous formation of hydrate.

公开(公告)号：US20230311031A1

公开(公告)日：2023-10-05

申请号：US18207634

申请日：2023-06-08

Applicant: Dalian University of Technology

Inventor： Kui You ,  Yihe Zhang ,  Jingkang Xu ,  Pengfei Yi ,  Meng Li ,  Xinghua Li ,  Chuanye Zhang ,  Caihua Ma ,  Weiwei Ma ,  Yiwen Zhang ,  Fangxin Han ,  Can You

IPC: B01D33/29 ,  B01D33/72 ,  B01D33/80 ,  C02F1/40

CPC classification number: B01D33/29 ,  B01D33/72 ,  B01D33/802 ,  C02F1/40

Abstract: A seesaw-type feeding device for collecting solid materials suspended in a flow field includes a suspension assembly, a material collection assembly, a joint hinge, two anti-collision blocks and an escapement shaking assembly, wherein the latter three of which are located between the suspension assembly and the material collection assembly. The suspension assembly includes a V-shaped floating body and at least three fixed bottom anchors. The material collection assembly includes a collection pocket net, a material container, a delivery part, and an annular water discharging screen mesh. The escapement shaking assembly is located behind the V-shaped floating body and faces the material collection assembly. The material collection assembly is able to shake relatively to the fluid in the flow field, and the escapement shaking assembly drives the material collection assembly to shake.

公开(公告)号：US11761930B2

公开(公告)日：2023-09-19

申请号：US17260156

申请日：2020-03-06

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yongqing Wang ,  Bo Qin ,  Kuo Liu ,  Mingrui Shen ,  Mengmeng Niu ,  Honghui Wang ,  Lingsheng Han

IPC: G01B17/08 ,  G01N29/14 ,  G01N29/44 ,  G05B19/401 ,  G06N3/04 ,  G06N3/08

CPC classification number: G01N29/4481 ,  G01B17/08 ,  G01N29/14 ,  G05B19/401 ,  G06N3/04 ,  G06N3/08 ,  G01N2291/028 ,  G01N2291/2698 ,  G05B2219/33099

Abstract: A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.