公开(公告)号：US20230191521A1

公开(公告)日：2023-06-22

申请号：US17981126

申请日：2022-11-04

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Te LI ,  Tian LAN ,  Haibo LIU ,  Yuhang GE ,  Qile BO ,  Kuo LIU ,  Xingjian LIU ,  Xu LI ,  Yongqing WANG

IPC: B23K9/028

CPC classification number: B23K9/0284

Abstract: The present invention relates to a process method for conformal processing of a cylindrical shell inner weld seam by a special mobile robot, a laser scanner is used to scan a cylindrical shell inner weld seam to obtain point cloud data of a contour of a weld seam area first. Weld seam feature identification is carried out to each generatrix, and misidentified generatrices are filtered out to obtain weld seam left and right boundaries. An ideal weld seam processing contour is generated conformally according to the appearance of the weld seam area, weld seam coarse grinding is carried out after correction and compensation, and weld seam contour information after coarse grinding is obtained by scanning after the coarse grinding is completed. Process parameters of the grinding are controlled according to an actual weld seam contour, and weld seam fine grinding is carried out to obtain a smooth weld seam contour.

公开(公告)号：US20210064988A1

公开(公告)日：2021-03-04

申请号：US16636258

申请日：2019-02-26

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Kuo LIU ,  Yongqing WANG ,  Xu LI ,  Bo QIN ,  Yongquan GAN ,  Dawei LI ,  Haining LIU

IPC: G06N3/08 ,  G06N3/04 ,  G06F17/10 ,  G05B19/4065

Abstract: A method for calculating the reliability of the thermal error model of a machine tool based on deep neural network (DNN) and the Monte Carlo method, which belongs to the field of the thermal error compensation of computer numerical control (CNC) machine tools. Firstly, according to the probability distribution of the thermal parameters and thermal error model, a set of data for training the DNN is generated. Next, the DNN is constructed based on the deep belief networks (DBNs) and trained with the training data. Then, a group of random sampling data is obtained according to the probability distribution of the thermal characteristic parameters of the machine tool, and the group of random sampling is taken as the input and the output is obtained by the trained depth neural network. Finally, the reliability of the thermal error model is calculated based on the Monte Carlo method.

公开(公告)号：US20210023667A1

公开(公告)日：2021-01-28

申请号：US16636268

申请日：2019-02-21

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Kuo LIU ,  Te LI ,  Yongquan GAN ,  Wei HAN ,  Dawei LI ,  Zhisong LIU ,  Yongqing WANG

IPC: B23Q11/00 ,  G05B19/404

Abstract: An online geometric/thermal error measurement and compensation system for computer numerically controlled (CNC) machine tools belonging to the technical field of error testing and compensation of CNC machine tools. The online CNC machine tool geometric/thermal error measurement and compensation system includes two parts: the hardware platform and the measurement and compensation software. The hardware platform includes a unidirectional acceleration sensor, a precision integrated circuit (IC) temperature sensor, a multi-channel temperature data collector, and a geometric/thermal error measurement and compensation host. The error measurement and compensation software runs in the geometric/thermal error measurement and compensation host and realizes testing and compensation of geometric and thermal errors in machine tools, which are communicated to the FANUC CNC system.

公开(公告)号：US20200376571A1

公开(公告)日：2020-12-03

申请号：US16766557

申请日：2019-09-29

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Haibo LIU ,  Qi LUO ,  Junpeng WANG ,  Te LI ,  Kuo LIU ,  Yongqing WANG

IPC: B23C3/18 ,  F01D5/14 ,  F04B45/08 ,  G05B19/402

Abstract: A magnetorheological support method for blisk processing is disclosed. In the method, a fork structure and a soft film are used to wrap magnetorheological fluid. The magnetorheological fluid is used for flow filling under certain pressure. The bulged soft film can conduct shape matching on the surface of a blisk blade. The magnetorheological fluid can be cured through magnetic field excitation, thereby ensuring the flexible support for a weak rigid component. Electric permanent magnets are symmetrically arranged at both ends of the fork structure to construct a uniform magnetic field that can realize a global excitation of magnetorheological fluid, so that the magnetorheological fluid works in a shear mode to achieve damping force controlling by magnetic field. The solid-liquid conversion of the magnetorheological fluid is controlled by an electric permanent magnet field.

公开(公告)号：US20200311321A1

公开(公告)日：2020-10-01

申请号：US16603467

申请日：2019-02-21

Applicant: Dalian University of Technology

Inventor： Kuo LIU ,  Haibo LIU ,  Lingsheng HAN ,  Yongquan GAN ,  Wei HAN ,  Te LI ,  Yongqing WANG

IPC: G06F30/17 ,  G01N25/16 ,  G01N25/18

Abstract: The present invention provides a method for determining the real-time thermal deformation attitude of the spindle and it belongs to the technical field of error testing of the CNC machine tools. Firstly, the temperature and the displacement sensors are applied to determine the temperature of the upper and lower surfaces of the spindle box and the radial thermal error of the running spindle, respectively. Then, the thermal variation of the upper and lower surfaces of the spindle box is calculated in accordance with the radial thermal error of the spindle. Then the model for the thermal variation and the temperature of the upper and lower surfaces of the spindle box is established. Finally, the established model is employed to determine the real-time thermal deformation attitude of the spindle, according to the real-time temperatures of the upper and lower surface of the spindle box.

公开(公告)号：US20210197335A1

公开(公告)日：2021-07-01

申请号：US16970301

申请日：2020-02-28

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yongqing WANG ,  Mengmeng NIU ,  Kuo LIU ,  Bo QIN ,  Mingrui SHEN ,  Dawei LI

IPC: B23Q17/09 ,  G06N3/04 ,  G06N3/08

Abstract: The invention provides a data augmentation method based on generative adversarial networks in tool condition monitoring. Firstly, the sensor acquisition system is used to obtain the vibration signal and noise signal during the cutting process of the tool; second, the noise data subject to the prior distribution is input to the generator to generate data, and the generated data and the collected real sample data are input to the discriminator for identification, the confrontation training between the generator and the discriminator until the training is completed; then, use the trained generator to generate sample data, and determine whether the generated sample data and the actual tool state sample data are similar in distribution; finally, combined with the accuracy of the deep learning network model to predict the state of the tool to verify the availability of the generated data.

公开(公告)号：US20200232885A1

公开(公告)日：2020-07-23

申请号：US16481035

申请日：2018-08-28

Applicant: Dalian University of Technology

Inventor： Kuo LIU ,  Yongqing WANG ,  Jiakun WU ,  Haoqi DONG ,  Te LI ,  Haibo LIU

IPC: G01M99/00 ,  G05B19/4155

Abstract: A reliability evaluation method for CNC machine tools based on Bayes and fault tree, belongs to the technical field of reliability evaluation for CNC machine tools. First, the CNC machine tool is regarded as a system composed of subsystems, and the subsystem fault data of the same production batch is used as the prior information. Next, the joint probability density function of the failure rate of each failure subsystem is used as the likelihood function of the field data, and the logarithmic inverse Gamma distribution is used as the conjugate prior distribution of the reliability. Based on this, the joint prior distribution probability density function of Weibull distribution size and shape parameters is determined Finally, the fault tree model is established. This can increase the sample size of the prior information, eliminate the complicated sample compatibility test, and ensure the compatibility of the prior information.

公开(公告)号：US20200064126A1

公开(公告)日：2020-02-27

申请号：US16462238

申请日：2018-01-23

Applicant: Dalian University of Technology

Inventor： Yongqing WANG ,  Kuo LIU ,  Jiakun WU ,  Haibo LIU ,  Zhisong LIU ,  Haining LIU

IPC: G01B11/27

Abstract: A method for the rapid detection of the linear axis angular error of an NC machine tool, belongs to the technical field of NC machine tool testing. Firstly, the measuring device is mounted on the linear axis. Then, the linear axis moves at three different speeds at a constant speed, and the upper measurement system automatically performs multi-channel acquisition and storage of the motion measurement's point measurement data. Then, based on the same geometric error signal, it is decomposed into the different frequency components, and the measurement angle error is filtered at the different speeds. Finally, the measurement angle errors at the three speeds after filtering are superimposed to complete the rapid measurement of the linear axis angular error of the machine tool. The measurement efficiency is high and data processing capability is strong.

公开(公告)号：US20200064125A1

公开(公告)日：2020-02-27

申请号：US16462234

申请日：2018-01-23

Applicant: Dalian University of Technology

Inventor： Yongqing WANG ,  Haibo LIU ,  Jiakun WU ,  Kuo LIU ,  Kang KUANG ,  Dawei LI

IPC: G01B11/27

Abstract: A rapid detection method for the geometric accuracy of the linear motion axis of an NC machine tool, uses accelerometers to measure the acceleration perpendicular to the direction of motion when the linear motion axis moves at a uniform speed. Firstly, the measuring device is mounted on the linear motion axis, and the upper measurement system automatically performs multi-channel acquisition and storage of the motion point acceleration data. Then, filter the acceleration data at the different speeds. Finally, the displacement data is obtained by quadratic integration of the filtered acceleration data in the time domain. Then calculate the straightness of the linear motion axis using the End Point Fit method, and complete the rapid measurement of the straightness of the linear motion axis of the machine tool. This can realize the rapid measurement of the geometric accuracy of the linear motion axis of the machine tool.

公开(公告)号：US20240075568A1

公开(公告)日：2024-03-07

申请号：US17785657

申请日：2021-11-17

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Haibo LIU ,  Chengxin WANG ,  Yongqing WANG ,  Xu LI ,  Kuo LIU ,  Xiaofei MA ,  Dongming GUO

IPC: B23Q3/08 ,  B23Q3/06

CPC classification number: B23Q3/086 ,  B23Q3/065 ,  B23Q2703/10

Abstract: The present invention proposes an in-situ freezing machining method for an integrated thin-walled array structure. In the method, the area among cups is cut off first; then, the outer walls of a cup array are machined; and finally, water filling and freezing are carried out, and in-situ freezing machining of the inner walls of the cup array is carried out. Then, hoisting and turning over are carried out, and the area among cavities is cut off; then, the outer walls of a cavity array are machined; and finally, water filling and freezing are carried out, and in-situ freezing machining of the inner walls of the cavity array is carried out. The method realizes in-situ freezing clamping of workpieces, avoids error accumulation caused by repeated installation of a fixture, and can refrigerate efficiently, suppress ambient and cutting thermal interference, and ensure the stability of freezing fixture.