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    Large-scale high-speed rotary equipment measuring and neural network learning regulation and control method and device based on rigidity vector space projection maximization
    2.
    发明授权
    Large-scale high-speed rotary equipment measuring and neural network learning regulation and control method and device based on rigidity vector space projection maximization 有权

    公开(公告)号：US10794790B2

    公开(公告)日：2020-10-06

    申请号：US16375089

    申请日：2019-04-04

    Applicant: Harbin Institute of Technology

    Inventor： Yongmeng Liu ,  Chuanzhi Sun ,  Jiubin Tan

    IPC: G01M1/24 ,  G01M1/20 ,  G06N3/08 ,  G06N3/04 ,  G06F17/16 ,  F01D25/28 ,  G06N3/00 ,  G06N3/02

    Abstract: The present invention provides a large-scale high-speed rotary equipment measuring and neural network learning regulation and control method and device based on rigidity vector space projection maximization, belonging to the technical field of mechanical assembly. The method utilizes an envelope filter principle, a two-dimensional point set S, a least square method and a learning neural network to realize large-scale high-speed rotary equipment measuring and regulation and control. The device comprises a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, a left upright column, a right upright column, a left lower transverse measuring rod, a left lower telescopic inductive sensor, a left upper transverse measuring rod, a left upper telescopic inductive sensor, a right lower transverse measuring rod, a right lower lever type inductive sensor, a right upper transverse measuring rod and a right upper lever type inductive sensor. The method and the device can perform effective measuring and accurate regulation and control on large-scale high-speed rotary equipment.

    Deep learning regulation and control and assembly method and device for large-scale high-speed rotary equipment based on dynamic vibration response properties
    5.
    发明授权
    Deep learning regulation and control and assembly method and device for large-scale high-speed rotary equipment based on dynamic vibration response properties 有权

    公开(公告)号：US10760448B2

    公开(公告)日：2020-09-01

    申请号：US16375142

    申请日：2019-04-04

    Applicant: Harbin Institute of Technology

    Inventor： Jiubin Tan ,  Yongmeng Liu ,  Chuanzhi Sun

    IPC: F01D25/04 ,  G05B13/02 ,  F02C9/00 ,  G06N3/02 ,  G06N20/00 ,  G06N3/08

    Abstract: The present invention provides a deep learning regulation and control and assembly method and device for large-scale high-speed rotary equipment based on dynamic vibration response properties. The present invention starts from geometrical deviation of multiple stages of rotor/stator of an aircraft engine, amount of unbalance of rotor/stator, rigidity of rotor/stator and vibration amplitude of rotor/stator, considers the influence of the area of the assembly contact surface between two stages of rotors/stators, and sets the rotation speed of rotor/stator to be the climbing rotation speed to obtain vibration amplitude parameters. According to the calculation method of the coaxiality, amount of unbalance, rigidity and vibration amplitude of multiple stages of rotor/stator, an objective function taking assembly phases as variables is established, a Monte Carlo method is used to solve the objective function, and a probability density function is solved according to a drawn distribution function to obtain the probability relationship between the contact surface runout of the rotor/stator of the aircraft engine and the final coaxiality, amount of unbalance, rigidity and vibration amplitude of multiple stages of rotor/stator, thereby realizing assembly optimization and distribution of tolerances of multiple stages of rotor/stator.

    Large high-speed rotary device gap stacking assembly apparatus and assembly method based on digital twin
    6.
    发明授权
    Large high-speed rotary device gap stacking assembly apparatus and assembly method based on digital twin 有权

    公开(公告)号：US12140491B2

    公开(公告)日：2024-11-12

    申请号：US17969985

    申请日：2022-10-20

    Applicant: Harbin Institute of Technology

    Inventor： Chuanzhi Sun ,  Huilin Wu ,  Yongmeng Liu ,  Jiubin Tan

    IPC: G01M1/30 ,  G01M1/16

    Abstract: Provided is a large high-speed rotary equipment gap stacking assembly apparatus and assembly method based on digital twin, and relates to the technical field of engine assembly measurement. The disclosure solves the problem of unbalanced rotation of the rotary parts caused by large assembly error during multi-stage rotary parts are stacked in a gap way. The disclosure includes the assembly apparatus entity and the assembly method; the assembly apparatus entity is configured to establish data communication with the upper computer through data acquisition apparatus, and upper computer is configured to establish a virtual assembly model; the virtual assembly model and optimal coaxiality of the multi-stage rotary parts in gap stacking can be obtained according to the assembly method, and the assembly process can be controlled by using the virtual assembly model and the optimal coaxiality. The disclosure is suitable for controlling the assembly process of the rotary parts.

    Aero engine rotor air floatation assembling device based on gantry structure
    7.
    发明授权
    Aero engine rotor air floatation assembling device based on gantry structure 有权

    公开(公告)号：US09890661B2

    公开(公告)日：2018-02-13

    申请号：US15118322

    申请日：2014-12-26

    Applicant: HARBIN INSTITUTE OF TECHNOLOGY

    Inventor： Jiubin Tan ,  Chuanzhi Sun ,  Lei Wang ,  Bo Zhao

    IPC: F01D25/28 ,  G01B7/31 ,  G01C9/06

    CPC classification number: F01D25/28 ,  F01D5/027 ,  F01D25/285 ,  F05D2230/60 ,  F05D2260/83 ,  G01B7/31 ,  G01C9/06 ,  G01C2009/064

    Abstract: An aero engine rotor air floatation assembling method and device based on a gantry structure belong to mechanical assembling technology. The present invention can effectively solve the problem of poor coaxality after the aero engine rotor is assembled and has the characteristics of high coaxality after the rotor is assembled, reduced vibration, mounting easiness, high flexibility and improved engine performance. The measuring method and device are: determining rotary reference based on a rotary air bearing; determining the angular positioning of a rotary table according to a grating ruler; extracting the radial error of the radial mounting plane and the inclination error of the axial mounting plane of the rotor based on the four-probe measuring device to obtain the influencing weight of this rotor to the assembled rotor on coaxality; measuring respectively all the rotors required for assembling to obtain the influencing weight of each rotor to the assembled rotor on coaxality; vector optimizing the weight of each rotor to obtain the assembling angle of each rotor.

    LARGE HIGH-SPEED ROTARY DEVICE GAP STACKING ASSEMBLY APPARATUS AND ASSEMBLY METHOD BASED ON DIGITAL TWIN
    8.
    发明公开
    LARGE HIGH-SPEED ROTARY DEVICE GAP STACKING ASSEMBLY APPARATUS AND ASSEMBLY METHOD BASED ON DIGITAL TWIN 审中-公开

    公开(公告)号：US20240102877A1

    公开(公告)日：2024-03-28

    申请号：US17969985

    申请日：2022-10-20

    Applicant: Harbin Institute of Technology

    Inventor： Chuanzhi Sun ,  Huilin Wu ,  Yongmeng Liu ,  Jiubin Tan

    IPC: G01M1/30 ,  G01M1/16

    CPC classification number: G01M1/30 ,  G01M1/16

    Abstract: Provided is a large high-speed rotary equipment gap stacking assembly apparatus and assembly method based on digital twin, and relates to the technical field of engine assembly measurement. The disclosure solves the problem of unbalanced rotation of the rotary parts caused by large assembly error during multi-stage rotary parts are stacked in a gap way. The disclosure includes the assembly apparatus entity and the assembly method; the assembly apparatus entity is configured to establish data communication with the upper computer through data acquisition apparatus, and upper computer is configured to establish a virtual assembly model; the virtual assembly model and optimal coaxiality of the multi-stage rotary parts in gap stacking can be obtained according to the assembly method, and the assembly process can be controlled by using the virtual assembly model and the optimal coaxiality. The disclosure is suitable for controlling the assembly process of the rotary parts.

    DEEP LEARNING REGULATION AND CONTROL AND ASSEMBLY METHOD AND DEVICE FOR LARGE-SCALE HIGH-SPEED ROTARY EQUIPMENT BASED ON DYNAMIC VIBRATION RESPONSE PROPERTIES
    10.
    发明申请
    DEEP LEARNING REGULATION AND CONTROL AND ASSEMBLY METHOD AND DEVICE FOR LARGE-SCALE HIGH-SPEED ROTARY EQUIPMENT BASED ON DYNAMIC VIBRATION RESPONSE PROPERTIES 审中-公开

    公开(公告)号：US20200217218A1

    公开(公告)日：2020-07-09

    申请号：US16375142

    申请日：2019-04-04

    Applicant: Harbin Institute of Technology

    Inventor： Jiubin TAN ,  Yongmeng Liu ,  Chuanzhi Sun

    IPC: F01D25/04 ,  G05B13/02 ,  F02C9/00

    Abstract: The present invention provides a deep learning regulation and control and assembly method and device for large-scale high-speed rotary equipment based on dynamic vibration response properties. The present invention starts from geometrical deviation of multiple stages of rotor/stator of an aircraft engine, amount of unbalance of rotor/stator, rigidity of rotor/stator and vibration amplitude of rotor/stator, considers the influence of the area of the assembly contact surface between two stages of rotors/stators, and sets the rotation speed of rotor/stator to be the climbing rotation speed to obtain vibration amplitude parameters. According to the calculation method of the coaxiality, amount of unbalance, rigidity and vibration amplitude of multiple stages of rotor/stator, an objective function taking assembly phases as variables is established, a Monte Carlo method is used to solve the objective function, and a probability density function is solved according to a drawn distribution function to obtain the probability relationship between the contact surface runout of the rotor/stator of the aircraft engine and the final coaxiality, amount of unbalance, rigidity and vibration amplitude of multiple stages of rotor/stator, thereby realizing assembly optimization and distribution of tolerances of multiple stages of rotor/stator.

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