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11.发明申请公开(公告)号：US20200272134A1
公开(公告)日：2020-08-27
申请号：US16471478
申请日：2018-08-30
Applicant: Dalian University of Technology
Inventor： Kuo LIU , Haibo LIU , Te LI , Haining LIU , Yongqing WANG , Zhenyuan JIA
IPC: G05B19/418
Abstract: An application method of the thermal error-temperature loop in the spindle of a CNC machine tool. This uses a bar and two displacement sensors to determine radial thermal errors of the spindle. Meanwhile two temperature sensors are used to determine the temperature of the upper and lower surfaces of the spindle box. Then, the thermal error-temperature loop is drawn with the temperature difference between two temperature sensors as the abscissa and the radial thermal error of the spindle as the ordinate. Finally, the loop is employed to analyze the mechanism of the radial thermal deformation of the spindle and the thermal error level is evaluated. Since the method is based on measured data, the results of the analysis are closer to the reality, compared to those from the numerical simulations.
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12.发明申请公开(公告)号：US20200249130A1
公开(公告)日：2020-08-06
申请号：US16470925
申请日：2019-02-21
Applicant: Dalian University of Technology
Inventor： Kuo LIU , Yongqing WANG , Haibo LIU , Xu LI , Mingrui SHEN , Mengmeng NIU , Ziyou BAN
Abstract: A method for determining the preload value of the screw based on thermal error and temperature rise weighting. Firstly, thermal behavior test of the feed shaft under typical working conditions is carried out to obtain the maximum thermal error and the temperature rise at the key measuring points in each preloaded state. Then, a mathematical model of the preload value of the screw and the maximum thermal error is established; meanwhile, another mathematical model of the preload value of the screw and the temperature rise at the key measuring points is also established. Finally, the optimal preload value of the screw is obtained. The thermal error of the feed shaft and the temperature rise of the moving components are comprehensively considered, improving the processing accuracy and accuracy stability of the machine tool, and ensuring the service life of the moving components such as bearings.
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13.发明申请公开(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.
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公开(公告)号：US20210364482A1
公开(公告)日：2021-11-25
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
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.
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公开(公告)号：US20210287098A1
公开(公告)日：2021-09-16
申请号：US15734940
申请日：2020-02-28
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
Inventor： Kuo LIU , Mingrui SHEN , Bo QIN , Renjie HUANG , Mengmeng NIU , Yongqing WANG
Abstract: An on line prediction method of part surface roughness based on SDAE-DBN algorithm. The tri-axis acceleration sensor is adsorbed on the rear bearing of the machine tool spindle through the magnetic seat to collect the vibration signals of the cutting process, and a microphone is placed in the left front of the processed part to collect the noise signals of the cutting process of the machine tool; the trend term of dynamic signal is eliminated, and the signal is smoothed; a stacked denoising autoencoder is constructed, and the greedy algorithm is used to train the network, and the extracted features are used as the input of deep belief network to train the network; the real-time vibration and noise signals in the machining process are input into the deep network after data processing, and the current surface roughness is set as output by the network.
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Patent Agency Ranking
公开(公告)号：US20210178542A1
公开(公告)日：2021-06-17
申请号：US15734912
申请日：2019-09-12
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
Inventor： Yongqing WANG , Lingsheng HAN , Kuo LIU , Haibo LIU , Zaiyou BAN , Bo QIN
Abstract: The invention provides a toolholder matched with the internal jet cooling spindle for cryogenic coolant. The toolholder is mainly composed of a hollow toolholder body, a high-performance thermal insulation structure and a bidirectional sealing structure. They can guide the cryogenic coolant from the spindle to the internal cooling channel of tool and realize the cryogenic thermal insulation and dynamic sealing. The high-performance thermal insulation structure inside the toolholder employs the material with a low thermal conductivity and a low linear expansion coefficient to restrain the low temperature impact of cryogenic coolant on the toolholder and spindle, to ensure the dimensional accuracy and assembly accuracy of the toolholder. The bidirectional sealing structure in the toolholder uses the ultra-low temperature resistant seal rings to prevent the cryogenic coolant from leaking towards the spindle and the tool, to ensure the stability of the coolant transport.
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公开(公告)号：US20210178535A1
公开(公告)日：2021-06-17
申请号：US17052668
申请日：2020-02-28
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
Inventor： Yongqing WANG , Tianran LIU , Haibo LIU , Kuo LIU , Te LI , Dongming GUO
Abstract: The present invention relates to a slanting-bed feed processing machine tool of a large propeller. The machine tool comprises a slanting column feed bed, a machine tool spindle, a workpiece rotary worktable, a large propeller and a bed feed mechanism. The present invention coordinates the geometrical relationship between the machine tool and the large propeller to ensure that the slanting column feed bed moves between two blades, thereby reducing the overhang length of the spindle. Different forms of workpiece rotary worktables and bed feed mechanisms are selected according to different slanting column feed beds. Four types of slanting column feed beds are designed, which can be selected, optimized and applied for different processing objects. The present invention enhances the processing stiffness of the spindle and solves the problem of poor processing quality of the large propeller caused by machine tool vibration.
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公开(公告)号：US20210048793A1
公开(公告)日：2021-02-18
申请号：US16636556
申请日：2019-02-21
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
Inventor： Kuo LIU , Bo QIN , Xu LI , Yongquan GAN , Wei HAN , Renjie HUANG , Yongqing WANG
IPC: G05B19/4155
Abstract: A spindle thermal error compensation method which is insensitive to the disturbance of the cooling system is provided, belonging to the technical field of error compensation in numerical control machine tools. First, the spindle model coefficient identification test, based on multi-state speed variable, is performed; after which, based on the correlation analysis between temperature and thermal error, the temperature measurement point, significantly correlated with the axial thermal error of the spindle, is determined. Next, a spindle thermal error model is established, which is insensitive to the cooling system disturbance. In addition, the coefficients in the model are identified under constraint condition, according to the nonlinear quadratic programming algorithm. Finally, based on the OPC UA communication protocol, the compensation value, as calculated by the model, is input to the numerical control system, in order to realize the compensation of the spindle thermal error.
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19.发明公开公开(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.
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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.
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