公开(公告)号：US20210026319A1

公开(公告)日：2021-01-28

申请号：US16639959

申请日：2019-02-21

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Kuo LIU ,  Yongqing WANG ,  Jiakun WU ,  Haining LIU ,  Mingrui SHEN ,  Bo QIN ,  Haibo LIU

IPC: G05B19/404

Abstract: A self-adaptive compensation method for feed axis thermal error, which belongs to the field of error compensation in NC machine tools. First, based on laser interferometer and temperature sensor, the feed axis thermal error test is carried out; following, the thermal error prediction model, based on the feed axis thermal error mechanism, is established and the thermal characteristic parameters in the model are identified, based on the thermal error test data; next, the parameter identification test is carried out, under the preload state of the nut; next, the adaptive prediction model is established, based on the thermal error prediction model, while the parameters in the measurement model are identified; finally, adaptive compensation of thermal errors is performed, based on the adaptive error prediction model, according to the generated feed axis heat.

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.