Robot for selecting outer diameter sizes of bearings

Abstract

The invention discloses a robot for selecting the outer diameter sizes of bearings. The robot comprises a bottom plate, a motor I, supporting columns, a shelf, a rotary frame, a motor II, an installing plate, a large arm, a motor III, a small arm, a motor IV, a camera installing frame, a CCD (Charge Coupled Device) camera, an electromagnet, an actuator, a cylinder, a sliding rail, blocking pieces and a distance sensor, wherein the supporting columns are arranged on the bottom plate and are connected with the shelf; the motor I is arranged under the shelf and is connected with the rotary frame which is provided with the installing plate; the installing plate is connected with the motor II; the large arm is connected with the installing plate; the small arm is connected with the large arm, is provided with the motor III and is connected with the actuator; the actuator is provided with the motor IV, the camera installing frame and the electromagnet; the camera installing frame is provided with the CCD camera. The robot disclosed by the invention has the advantages that the positions of the bearings can be automatically recognized, and automatic grabbing, measurement and selection of the bearings are realized by controlling the rotation of the motors, so that the labor and the materials are greatly saved.

Description

technical field [0001] The invention relates to the field of mechanical manufacturing, in particular to a robot for selecting the outer diameter of a bearing. Background technique [0002] At present, bearing manufacturers are still on the basis of using mechanical or optical instruments in the measurement of the inner and outer diameters of bearings. Bearings inevitably cause errors in the production process, and they must be sorted according to the errors. This detection method relies on manual selection, which not only has low efficiency and low precision, but also indirectly introduces human error. The traditional mechanical detection methods are far from meeting the needs of industrial production. The constant online detection required by modern technology has put forward higher requirements for the real-time precision detection of bearings. At present, the labor intensity of manual measurement and selection is high, and the measurement accuracy is low, which restricts...

AI Technical Summary

Problems solved by technology

This detection method relies on manual selection, which not only has low efficiency and low precision, but also indirectly introduces human error.

The traditional mechanical detection methods are far from meeting the needs of industrial production. The constant online detection required by modern technology has put forward higher requirements for the real-time precision detection of bearings.

At present, the labor intensity of manual measurement and selection is high, and the measurement accuracy is low, which restricts the further development of the enterprise

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