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.

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.

A mass simulator to determine unbalance of a rotor module in a balancing machine that simulates the mass of an adjacent rotor module. The mass simulator has a shaft extending along an axis of rotation of the mass simulator. The shaft has an attachment interface at one end for attaching to a corresponding interface, and has a support portion at the opposite end which is rotatably supportable in the balancing machine. The mass simulator has a mass body mounted to the shaft by a release mechanism allowing the mass body to be repeatably mounted to and dismounted from the shaft. The mass simulator being attached to the rotor module at the attachment interface and the assembly of the attached mass simulator and rotor module located in the balancing machine to determine unbalance of the rotor module with the mass body mounted to, and dismounted from, the shaft.

A mass simulator to determine unbalance of a rotor module in a balancing machine that simulates the mass of an adjacent rotor module. The mass simulator has a shaft extending along an axis of rotation of the mass simulator. The shaft has an attachment interface at one end for attaching to a corresponding interface, and has a support portion at the opposite end which is rotatably supportable in the balancing machine. The mass simulator has a mass body mounted to the shaft by a release mechanism allowing the mass body to be repeatably mounted to and dismounted from the shaft. The mass simulator being attached to the rotor module at the attachment interface and the assembly of the attached mass simulator and rotor module located in the balancing machine to determine unbalance of the rotor module with the mass body mounted to, and dismounted from, the shaft.

A dynamic balancer includes an outer housing and a spindle assembly rotatably mounted to the outer housing. A frameless motor assembly is connected to selected components of the spindle assembly. A chucking assembly receives a locking member to capture a tire therebetween. The chucking assembly and the locking member are captured in the spindle assembly and rotated by the frameless motor assembly. A spring-biased return cylinder may be used with the dynamic balancer to assist in capturing and releasing the locking member with respect to the chucking assembly. An adjustable encoder assembly may be associated with the motor assembly to monitor a rotational position of the tire and/or spindle assembly.

A material sampling system for obtaining a plurality of substantially similar samples of granular material, such as grain or other crop material, from a load of granular material is provided. The system can include a sample extractor for obtaining a sample portion of granular material, a sample divider operative to divide the sample portion of granular material into a plurality of smaller samples of granular material in a plurality of sample containers and a sample transfer conduit for transferring the sample of granular material from the sample extractor to the sample divider. The sample portions can be taken at regular sample time intervals throughout the entire load of granular material to get an accurate representation of the granular material and information about the samples in the sample containers can be obtained by the system while it is obtaining the samples and this information stored for later use and display.

A material sampling system for obtaining a plurality of substantially similar samples of granular material, such as grain or other crop material, from a load of granular material is provided. The system can include a sample extractor for obtaining a sample portion of granular material, a sample divider operative to divide the sample portion of granular material into a plurality of smaller samples of granular material in a plurality of sample containers and a sample transfer conduit for transferring the sample of granular material from the sample extractor to the sample divider. The sample portions can be taken at regular sample time intervals throughout the entire load of granular material to get an accurate representation of the granular material and information about the samples in the sample containers can be obtained by the system while it is obtaining the samples and this information stored for later use and display.

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.

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.

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.