公开(公告)号：US20230391954A1

公开(公告)日：2023-12-07

申请号：US18032337

申请日：2021-11-11

Applicant: JIANGSU ZHONGLI GROUP CO., LTD. ,  DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xinxiang CHEN ,  Nan ZHENG ,  Jianyu SUN ,  Junnan HE ,  Rui ZHANG ,  Wangze SONG ,  Junqiao YAN ,  Weixing WANG ,  Feng HOU

IPC: C08G73/00

CPC classification number: C08G73/00

Abstract: The present disclosure provides a method for preparing multi-component polymers through post-polymerization modification, used to functionalize polysulfonyl imidate polymer including a dispersing polymer reactant, an electrophilic substitution reagent and a catalyst in an organic dispersant; adding acid-binding agent to react at room temperature for 4-48 h; obtaining the precipitate when the reaction finished; washing and drying the obtained precipitate to get the functionalized multi-component polymers. The present disclosure involves a low polymerization temperature, allowing for the reaction to occur at room temperature. Additionally, the conversion rate is high, and the applicable electrophilic substitution monomer reagents have a wide selection. Besides that, the synthesis cost of the reaction is low due to the widespread availability of common chemical reagents such as catalysts, organic dispersants, acid binding agents, and other reaction reagents. The ease of access to these raw materials contributes to the overall affordability of the synthesis process.

公开(公告)号：US20230391014A1

公开(公告)日：2023-12-07

申请号：US18303402

申请日：2023-04-19

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Rao FU ,  Jianming ZHOU ,  Gongshuo WANG ,  Hongquan WANG ,  Shouyan GUAN ,  Fuji WANG

IPC: B29C64/393 ,  B29C64/165 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

CPC classification number: B29C64/393 ,  B29C64/165 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

Abstract: A real-time multi-parameter coordinating 3D printing auxiliary forming process for continuous fiber reinforced composites belongs to the technical field of 3D printing. The method starts an external auxiliary heating mechanism and an external auxiliary pressure mechanism timely according to the characteristics of forming materials, the structure of a forming component and interlayer pressure and temperature differences measured in real time during printing, increases interlayer forming pressure of 3D printing and reduces an interlayer temperature difference to improve interlayer bonding strength of the composites. Meanwhile, the method starts a dedicated auxiliary mechanism accompanying mechanism timely according to an established printing trajectory to ensure that the relative positions of an auxiliary mechanism and a printing device are kept unchanged in real time, to realize sustainable forming of multi-parameter coordinating 3D printing for continuous fiber reinforced composites. The method improves the interlayer bonding quality of the component.

公开(公告)号：US20230384161A1

公开(公告)日：2023-11-30

申请号：US18108966

申请日：2023-02-13

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xiaohong LU ,  Guochuan SUI ,  Zhenyuan JIA ,  Shixuan SUN ,  Le TENG

IPC: G01J5/00 ,  G01J5/48 ,  G06F30/27

CPC classification number: G01J5/0003 ,  G01J5/485 ,  G06F30/27 ,  G01J2005/0077 ,  G06F2111/10

Abstract: The present invention belongs to the field of friction stir welding (FSW) temperature detection, and relates to a temperature characterization method of FSW weld zone based on infrared thermal imager. The invention combines theory with experiment. A temperature field simulation model of FSW is established based on DEFORM. The data sets of temperature of surface feature points, the maximum and minimum temperatures in weld zone are obtained according to the simulation model result. Then, Support Vector Regression (SVR) is used to establish a temperature characterization model, which represents the correlation between the temperature of surface feature points and the maximum and minimum temperatures in weld zone. In the actual welding process, an infrared camera is used to measure the temperature of the surface feature point in real-time. Combined with the built temperature characterization model, the characterization of the maximum and minimum temperatures in weld zone is achieved.

公开(公告)号：US20230375591A1

公开(公告)日：2023-11-23

申请号：US18319148

申请日：2023-05-17

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Guoqiang TANG ,  Lin LV ,  Dongsheng QIAO ,  Zhiwei SONG ,  Jun YAN ,  Xiaohui YAN ,  Yunfei TENG ,  Chen LI

IPC: G01P5/00 ,  G06F17/12

CPC classification number: G01P5/001 ,  G06F17/12

Abstract: The present invention discloses a prediction method for a maximum velocity profile in a wave boundary layer based on velocity defect functions. The method overcomes the theoretical defects of the existing velocity defect functions. That is, the velocity profile in a turbulent wave boundary layer cannot be realized; and in addition, without the assumption of linear wave conditions, the method is suitable for nonlinear waves and at the same time, for a small A/k, range, and can be extended to the analysis and prediction for the maximum velocity profile under the condition that the spatial distribution of roughness elements of gravel seabed, etc. obviously affects the flow structure of the boundary layer. The present invention can be directly applied to the analysis and prediction for physical quantities/processes, such as characteristics of the wave boundary layer, stress of underwater structures, and starting and transport of submarine sediments.

公开(公告)号：US11813695B2

公开(公告)日：2023-11-14

申请号：US16705416

申请日：2019-12-06

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Zhubin He ,  Shijian Yuan ,  Kailun Zheng ,  Wei Du ,  Jianshu Liu

IPC: B23K26/24 ,  B23K20/12 ,  B23K37/00 ,  B23K101/18

CPC classification number: B23K26/24 ,  B23K20/122 ,  B23K37/003 ,  B23K2101/185

Abstract: A method for forming a large-diameter special-shaped cross section thin-wall tubular part. A tailor welded barrel blank is adopted as an original blank for forming of the large-diameter special-shaped cross section thin-wall tubular part. After a desired shape is formed, the original weld joint is removed and butt joint tailor welding is performed on the tubular part again. Since the tailor weld joint of the original barrel blank is removed from the final part, there is no need to consider the consistency or coordination of the microstructure of the weld joint and the base metal during the forming process and the subsequent thermal treatment process.

公开(公告)号：US11807998B2

公开(公告)日：2023-11-07

申请号：US17777773

申请日：2021-02-22

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Fuyou Xu ,  Minshan Pei ,  Gao Liu ,  Wenjie Li ,  Taotao Mao

IPC: E01D19/00 ,  F16F7/10

CPC classification number: E01D19/00 ,  F16F7/10 ,  F16F2222/08 ,  F16F2230/0005

Abstract: The present invention belongs to the technical field of wind-induced vibration control study of bridges, and provides a dangling net cloth device for suppressing flutter of a sea-crossing bridge, i.e., a large-area dangling net cloth equipped with multiple balance weights, which is suspended below a girder by ropes and is immersed in water. When wind-induced vibration occurs on a bridge, the device is driven to move in the water, and gravity of the device as well as a huge additional mass force and an additional damping force produced by the water on the net cloth will do negative work on the girder to consume vibration energy of the bridge and effectively suppress large vibration of the bridge. The device adopts lightweight standardized components which are convenient to install, detach, transport, and store, and has the advantages of safety, reliability, economy, and practicality.

公开(公告)号：US20230325560A1

公开(公告)日：2023-10-12

申请号：US18024780

申请日：2022-06-22

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Fei HAN ,  Zhibin LI

IPC: G06F30/23

CPC classification number: G06F30/23 ,  G06F2119/02

Abstract: A peridynamics-based finite element method (PeriFEM) for an structural damage analysis, comprising the following steps: A1: generating finite elements of a structure, A2: generating peridynamic elements based on the finite elements; A3: calculating a global load vector; A4: calculating a global stiffness matrix; A5: formulating and solving a linear algebra equation about the global node displacement vector; A6: evaluating whether the result satisfies the convergence criteria; if so, go to step A7, if not, return to step A4; A7: increasing the external load successively and loop A3-A7 after that, until the external load exceeds the maximum external load; A8: plotting the results. The implementation of PeriFEM in software includes the following operations: B1: generating the peridynamic elements for inputting into the software; B2: programing the formulation of the element stiffness matrix in step A4 as a subroutine; and B3: setting a method for the updating the subroutine.

公开(公告)号：US11783502B2

公开(公告)日：2023-10-10

申请号：US17437234

申请日：2021-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Qi Jia ,  Xin Fan ,  Zhongxuan Luo ,  Yu Liu ,  Qian Wang ,  Risheng Liu ,  Yi Wang ,  Xiujuan Xu

IPC: G06T7/60 ,  G06T7/13

CPC classification number: G06T7/60 ,  G06T7/13

Abstract: The present invention relates to the technical field of digital image processing, and provides an ellipse detection acceleration method based on generalized Pascal mapping. The method comprises: step 100, extracting accurate edge points from a real image by means an edge detection method of an ellipse detection method, connecting edge points into arcs, and taking a de-noised arc set as input of an ellipse detection acceleration method; step 200, screening out a valid candidate arc combinations probably belonging to the same ellipse from the arc set input in step 100; step 300, calculating five parameters of a candidate ellipse; repeating step 200 to step 300 until all valid candidate arc combinations in the arc set and corresponding candidate ellipses are found; and step 400, clustering and verifying candidate ellipse sets, obtaining a final detected ellipse set.

公开(公告)号：US11783457B2

公开(公告)日：2023-10-10

申请号：US17284394

申请日：2020-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Wei Zhong ,  Haojie Li ,  Boqian Liu ,  Zhihui Wang ,  Risheng Liu ,  Zhongxuan Luo ,  Xin Fan

IPC: G06T5/00 ,  G06T7/80 ,  G06T7/73 ,  G06T5/40 ,  G06T5/50

CPC classification number: G06T5/006 ,  G06T5/40 ,  G06T5/50 ,  G06T7/73 ,  G06T7/80 ,  G06T2207/10021 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/10052 ,  G06T2207/20016 ,  G06T2207/20164

Abstract: A multispectral camera dynamic stereo calibration algorithm is based on saliency features. The joint self-calibration method comprises the following steps: step 1: conducting de-distortion and binocular correction on an original image according to internal parameters and original external parameters of an infrared camera and a visible light camera. Step 2: Detecting the saliency of the infrared image and the visible light image respectively based on a histogram contrast method. Step 3: Extracting feature points on the infrared image and the visible light image. Step 4: Matching the feature points extracted in the previous step. Step 5: judging a feature point coverage area. Step 6: correcting the calibration result. The present invention solves the change of a positional relationship between an infrared camera and a visible light camera due to factors such as temperature, humidity and vibration.

公开(公告)号：US20230316051A1

公开(公告)日：2023-10-05

申请号：US17795095

申请日：2021-09-18

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Ximing SUN ,  Yuhui LI ,  Fuxiang QUAN

IPC: G06N3/049 ,  F04D27/00 ,  G06N3/048 ,  G06N3/0455

CPC classification number: G06N3/049 ,  F04D27/001 ,  G06N3/048 ,  G06N3/0455

Abstract: A pre-alarming method for rotary stall of compressors based on a temporal dilated convolutional neural network includes firstly, preprocessing dynamic pressure data of an aero-engine, and dividing a test dataset and a training dataset from experimental data; secondly, constructing a temporal convolutional network module, a Resnet-v network module and a temporal dilated convolutional network prediction model in sequence, and saving an optimal prediction model. Finally, conducting real-time prediction on test data: adjusting data dimension of the test dataset according to input requirements of the temporal dilated convolutional network prediction model; calculating predicted surge probability of each sample by the temporal dilated convolutional network prediction model in chronological order; calculating real-time surge probability of a pair of samples with and without covariates by the temporal dilated convolutional network prediction model, and observing improvement action of covariates on model prediction effect.