DYNAMIC SEAL TEST DEVICE FOR CRYOGENIC FLUID MEDIUM

    公开(公告)号:US20210190627A1

    公开(公告)日:2021-06-24

    申请号:US15734881

    申请日:2019-09-16

    Abstract: The invention provides a dynamic seal test device for cryogenic fluid medium. The dynamic seal test device includes stator unit, rotor unit, slipway, servo motor unit and sensors. The tested seal is installed inside the stator, and the thermal insulation stator and vacuum rotor together form a dynamic seal test structure. The seals and shaft sleeves can be flexibly replaced, which is beneficial to study the influence of different seal types, structure, and seal land configurations on the sealing performance. The servo motor provides power for the rotor and controls the rotation speed. The device greatly improves the thermal insulation capacity to avoid the gasification for the cryogenic fluid medium induced by the heat transfer from environment so that ensuring the stability of the test device.

    APPLICATION METHOD OF THE THERMAL ERROR-TEMPERATURE LOOP IN THE SPINDLE OF A CNC MACHINE TOOL

    公开(公告)号:US20200272134A1

    公开(公告)日:2020-08-27

    申请号:US16471478

    申请日:2018-08-30

    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.

    A METHOD FOR DETERMINING THE PRELOAD VALUE OF THE SCREW BASED ON THERMAL ERROR AND TEMPERATURE RISE WEIGHTING

    公开(公告)号:US20200249130A1

    公开(公告)日:2020-08-06

    申请号:US16470925

    申请日:2019-02-21

    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.

    A MODELING AND COMPENSATION METHOD FOR THE SPINDLE'S RADIAL THERMAL DRIFT ERROR IN A HORIZONTAL CNC LATHE

    公开(公告)号:US20200064810A1

    公开(公告)日:2020-02-27

    申请号:US16325984

    申请日:2017-11-06

    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.

    Tool Holder Suitable for Hybrid Cryogenic Minimum Quantity Lubrication

    公开(公告)号:US20210347000A1

    公开(公告)日:2021-11-11

    申请号:US16972278

    申请日:2020-02-28

    Abstract: The invention provides a tool holder suitable for cryogenic minimum quantity lubrication, which belongs to the technical field of cooling and lubrication of numerical control machine tools. The device comprises a toolholder body, a peripheral static structure, a multilayer sealing structure, a heat insulation structure, and a bearing support structure. The invention solves the problems of insufficient cooling performance in the micro-lubrication technology and insufficient lubrication in the cryogenic cooling machining technology, and integrates the oxygen insulation protection effect of the cryogenic medium, the cooling effect of the cryogenic medium, and the friction reduction and lubrication effect of the micro-lubrication. It has a good processing effect on difficult-to-cut materials. The invention can be used for machining difficult-to-cut materials with traditional numerical control machine tools, expands the application range of external to internal cooling tool holders, effectively reduces the cutting heat of difficult-to-cut materials in cutting processing, improves tool life, and replaces traditional cutting fluids to achieve green manufacturing.

    LARGE-PANEL ULTRASONIC ON-MACHINE NON-CONTACT SCANNING THICKNESS MEASUREMENT EQUIPMENT AND THICKNESS MEASUREMENT METHOD

    公开(公告)号:US20210072195A1

    公开(公告)日:2021-03-11

    申请号:US16767019

    申请日:2019-09-29

    Abstract: A large-panel ultrasonic on-machine scanning thickness measurement equipment and method is disclosed. A GNCMT is adopted as the measuring machine main body on which a measured large panel is clamped and conducts scanning measurement motion; a non-contact ultrasonic measurement device is installed on the spindle of the machine tool for realizing transmission and acquisition of ultrasonic signals; a coupling liquid circulation system with the functions of multi-layer filtering, flow monitoring and regulation is set up; a jet flow immersion coupling mode is adopted on the surface of the measured large panel, and micro-emulsion cutting fluid is used as compatible coupling liquid of ultrasonic on-machine thickness measurement; and the coupling liquid is recycled, purified and stably supplied circularly. The thickness measurement equipment has high multi-function integration and reliable performance. It is easy to operate and highly automated, which effectively realizes nondestructive, accurate, efficient on-machine wall thickness measurement of the large panel.

    SELF-ADAPTIVE COMPENSATION METHOD FOR FEED AXIS THERMAL ERROR

    公开(公告)号:US20210026319A1

    公开(公告)日:2021-01-28

    申请号:US16639959

    申请日:2019-02-21

    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.

    COMPREHENSIVE PERFORMANCE EVALUATION METHOD FOR CNC MACHINE TOOLS BASED ON IMPROVED PULL-OFF GRADE METHOD

    公开(公告)号:US20200282503A1

    公开(公告)日:2020-09-10

    申请号:US16483256

    申请日:2018-08-28

    Abstract: A comprehensive performance evaluation method for the CNC machine tools based on an improved pull-off method belongs to the technical field of performance evaluation of CNC machine tools. A linear proportional method is used to standardize the performance index data of machine tool. The entropy weight method and mean variance method are used to determine the two objective weights of each level of indicator. Based on the principle of vector A comprehensive evaluation of three-level index is obtained from the linear weighted evaluation function. Finally, a similar method was used to calculate the comprehensive evaluation of a large system layer by layer. The present invention is used for the comprehensive performance evaluation of various CNC machine tools and also for a lateral comparison of specific performance of different machine tools, providing a scientific and possible evaluation method and process for the comprehensive performance evaluation of machine tools.

    ON-LINE PREDICTION METHOD OF SURFACE ROUGHNESS OF PARTS BASED ON SDAE-DBN ALGORITHM

    公开(公告)号:US20210287098A1

    公开(公告)日:2021-09-16

    申请号:US15734940

    申请日:2020-02-28

    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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