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公开(公告)号：US20200217738A1
公开(公告)日：2020-07-09
申请号：US16374926
申请日：2019-04-04
Applicant: Harbin Institute of Technology
Inventor： Yongmeng LIU , Jiubin TAN , Chuanzhi SUN
Abstract: The present invention provides a stage-by-stage measurement, regulation and distribution method for dynamic characteristics of multi-stage components of large-scale high-speed rotary equipment based on multi-biased error synchronous compensation and belongs to the technical field of mechanical assembly. Firstly, a single-stage rotor five-parameter circular contour measurement model is established, and the five-parameter circular contour measurement model is simplified by using a distance from an ith sampling point of an ellipse to a geometry center to obtain a simplified five-parameter circular contour measurement model. Then, actually measured circular contour data is taken into the simplified five-parameter circular contour measurement model to determine a relationship between dynamic response parameters after rotor assembly and eccentricity errors as well as the amount of unbalance of all stages of rotors. Finally, a rotor speed is set according to the relationship between the dynamic response parameters after rotor assembly and the eccentricity errors as well as the amount of unbalance of all stages of rotors to obtain a critical speed parameter objective function. The high-speed response critical speed parameters for n rotors assembly are optimized by adjusting assembly phases of all stages of rotors, so that a high-speed response to a multi-stage rotor of an aero-engine can be optimized.
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2.发明公开公开(公告)号：US20230409920A1
公开(公告)日：2023-12-21
申请号：US17875453
申请日：2022-07-28
Applicant: Harbin Institute of Technology
Inventor： Chuanzhi SUN , Qing LU , Yongmeng LIU , Jiubin TAN
IPC: G06N3/08
Abstract: A GA-PSO-BP neural network is provided for performing a measurement of a coaxiality error of parts of a rotary equipment and predicting a coaxiality of parts of the rotary equipment in order to solve a problem that a coaxiality error of saddle surface parts is difficult to calculate by building a traditional mathematical model based on a three-dimensional coordinate system transformation due to serious deformation of fitting surfaces of spigots. The GA-PSO-BP neural network method includes the steps of analyzing an influence source of the coaxiality error of multi-stage parts after assembly; then taking an error source as an input and the coaxiality error of the multi-stage parts after assembly as an output; and introducing a genetic algorithm to optimize an initial weight and threshold of a BP neural network, and introducing a particle swarm optimization to find optimal solutions of hyperparameters.
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公开(公告)号：US20200217223A1
公开(公告)日：2020-07-09
申请号：US16375204
申请日：2019-04-04
Applicant: Harbin Institute of Technology
Inventor： Jiubin TAN , Chuanzhi SUN , Yongmeng LIU
Abstract: The present invention provides a method for distributing relative gap parameters of large-scale high-speed rotary equipment components based on eccentricity vector following measurement and adjustment. According to the present invention, a propagation process of location and orientation errors of rotors and stators of an aero-engine during assembly are analyzed, a propagation relationship of eccentricity errors after n-stage rotor and stator assembly is determined, and a coaxiality prediction model after multi-stage rotor and stator assembly is obtained; and the relative concentricity and relative runout of the rotors and stators can be further obtained by using an offset of the rotors and stators, thereby implementing the calculation of a relative gap; thereafter, a dual-objective optimization model for multi-stage rotor and stator coaxiality and relative gap amount based on an angular orientation mounting position of all stages of rotors and stators is established, the angular orientation mounting position of all stages of rotors and stators is optimized by using a genetic algorithm, to obtain an optimal mounting phase of all stages of rotors and stators; and finally, relative gap parameters of the rotor and stator can be distributed by using a probability density method.
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4.发明申请公开(公告)号：US20170167866A1
公开(公告)日：2017-06-15
申请号：US15118312
申请日：2014-12-26
Applicant: HARBIN INSTITUTE OF TECHNOLOGY
Inventor： Lei WANG , Bo ZHAO , Jiubin TAN , Chuanzhi SUN
CPC classification number: G01B21/24 , F01D5/02 , F01D5/027 , F01D5/30 , F01D25/285 , G01B7/30 , G01B7/312 , G01B9/02 , G01B21/02 , G01M15/02
Abstract: An aero engine rotor assembling method and device based on concentricity and verticality measurement belongs to mechanical assembly technology. The present invention effectively solves 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 measurement and device is: determining rotary reference based on an air bearing rotary; determining the angular positioning of a rotary table according to a photoelectric encoder; 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.
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Patent Agency Ranking
公开(公告)号：US20170050275A1
公开(公告)日：2017-02-23
申请号：US15118803
申请日：2014-12-26
Applicant: HARBIN INSTITUTE OF TECHNOLOGY
Inventor： Bo ZHAO , Lei WANG , Jiubin TAN , Chuanzhi SUN
CPC classification number: B23P15/04 , F01D5/005 , F01D5/02 , F01D5/027 , F01D5/26 , F01D25/285 , F05D2220/323 , F05D2230/64 , F05D2250/31 , G01B5/205 , G01B5/207
Abstract: Aircraft engine rotors traditionally have low coaxiality after assembly. This is solved by the methods and devices described herein, having advantages that the rotors have high coaxiality after assembly, reduced vibration, easy installation, high flexibility, and improved engine performance. A measurement method and device use an air flotation rotary shaft system determining a rotary reference. An induction synchronizer determines angular positioning of a turntable. Using a four probe measurement device, a radial error of a rotor radial assembly surface and an inclination error of an axial mounting surface are extracted and an influence weight value of the rotor on the coaxiality of assembled rotors is obtained. All rotors required for assembly are measured and an influence weight value of each on the coaxiality of the assembled rotors is obtained. Vector optimization is performed on the weight value of each rotor and an assembly angle of each rotor is obtained.
Abstract translation: 飞机发动机转子在组装后传统上具有低同轴度。 这通过本文所述的方法和装置来解决，其优点在于转子在组装之后具有高的同轴度，减少的振动，易于安装，高灵活性和改进的发动机性能。 测量方法和装置使用确定旋转参考的空气浮选旋转轴系统。 感应同步器确定转台的角度定位。 使用四探头测量装置，提取转子径向组件表面的径向误差和轴向安装表面的倾斜误差，并且获得转子对组装转子同轴度的影响重量值。 测量组装所需的所有转子，并且获得各组合转子的同轴度的影响重量值。 对每个转子的重量值执行向量优化，并获得每个转子的组装角度。
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公开(公告)号：US20200217739A1
公开(公告)日：2020-07-09
申请号：US16375089
申请日：2019-04-04
Applicant: Harbin Institute of Technology
Inventor： Yongmeng LIU , Chuanzhi SUN , Jiubin TAN
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.
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公开(公告)号：US20200217737A1
公开(公告)日：2020-07-09
申请号：US16375117
申请日：2019-04-04
Applicant: Harbin Institute of Technology
Inventor： Chuanzhi SUN , Jiubin TAN , Yongmeng LIU
Abstract: The present invention provides a large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization geometry center, mass center, the center of gravity and the center of inertia, belonging to the technical field of mechanical assembly. The method includes the steps of establishing a four-parameter circular profile measuring model for a single stage of rotor, simplifying the established four-parameter circular profile measuring model for the single stage of rotor, and establishing a four-target optimization model of the geometry center, mass center, the center of gravity and the center of inertia of multiple stages of rotors based on the angular orientation mounting position of each stage of rotor. The device include a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, an upright column, a lower transverse measuring rod, a lower telescopic inductive sensor, an upper transverse measuring rod and an upper lever type inductive sensor.
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8.发明申请公开(公告)号：US20200217211A1
公开(公告)日：2020-07-09
申请号：US16375172
申请日：2019-04-04
Applicant: Harbin Institute of Technology
Inventor： Chuanzhi SUN , Yongmeng LIU , Jiubin TAN
IPC: F01D5/30
Abstract: The present invention provides a method for optimizing multi-stage components of large-scale high-speed rotary equipment based on Monte Carlo bias evaluation. The method comprises: obtaining an offset of a contact surface between all stages of rotors according to a multi-stage rotor propagation relationship, and calculating coaxiality according to a coaxiality formula; calculating a cross sectional moment of inertia of the contact surface, and obtaining a bending stiffness according to a bending stiffness formula; obtaining the amount of unbalance of a rotor according to a rotor error propagation relationship; and obtaining a probability relationship between the assembly surface runout of all stages of aero-engine rotors and the final geometric concentricity, the amount of unbalance and stiffness of multi-stage rotors by using a Monte Carlo method, and optimizing the tolerance distribution and bending stiffness of the aero-engine multi-stage rotors.
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公开(公告)号：US20170175584A1
公开(公告)日：2017-06-22
申请号：US15118322
申请日：2014-12-26
Applicant: HARBIN INSTITUTE OF TECHNOLOGY
Inventor： Jiubin TAN , Chuanzhi SUN , Lei WANG , Bo ZHAO
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.
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