公开(公告)号：US20200064810A1

公开(公告)日：2020-02-27

申请号：US16325984

申请日：2017-11-06

Applicant: Dalian University of Technology

Inventor： Kuo LIU ,  Yongqing WANG ,  Haibo LIU ,  Te LI ,  Haining LIU ,  Dawei LI

IPC: G05B19/404 ,  B23Q11/14 ,  B23Q17/22

Abstract: The invention provides a method for modeling and compensating for the spindle's radial thermal drift error in a horizontal CNC lathe, which belongs to the field of error compensation technology of CNC machine tools. Firstly, the thermal drift error of two points in the radial direction of the spindle and the corresponding temperature of the key points are tested; then the thermal inclination angle of the spindle is obtained based on the thermal tilt deformation mechanism of the spindle, and the correlation between the thermal inclination angle and the temperature difference between the left and right sides of the spindle box is analyzed. According to the positive or negative thermal drift error of the two points that have been measured and the elongation or shortening of the spindle box on the left and right sides, the thermal deformation of the spindle is then classified and the thermal drift error model under various thermal deformation attitudes is then established. Then the influence of the size of the machine tool's structure on the prediction results of the model is analyzed. In real-time compensation, the thermal deformation attitude of the spindle is automatically judged according to the temperature of the key points, and the corresponding thermal drift error model is automatically selected to apply the compensation to the spindle. The method is used to distinguish the thermal deformation attitude of the spindle in a CNC lathe, and the thermal deformation mechanism is used to predict the radial thermal drift error of the spindle.

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：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：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.