Flying drone engine's sleeving size and geometrical error detection device

Abstract

The invention discloses flying drone engine's sleeving size and a geometrical error detection device. The programmable controller of the detection device is installed inside a base. The contact touch screen display and the support are fixedly arranged on the base. The sliding block cooperates with the guide rail arranged at the inner side of the support. The first measuring baseline block and the second measuring baseline block are installed at the lower end face of the sliding block. The inner measuring baseline column and the positioning ring are mounted on the base in a cooperative manner, and are arranged under the first measuring baseline block and the second measuring baseline block. The air cylinder is fixedly arranged at the upper end part of the support; the programmable controller controls the air cylinder piston to move and drives the sliding block to move upwards and downwards along the guide rail of the support. The inner measuring baseline column, and the first measuring baseline block as well as the second measuring baseline block are provided with a plurality of electric induction sensor probes. The electric induction sensor probes acquire and transmit the data to the programmable controller where the data are processed. The detection result is displayed through the contact touch screen display. The detection device can detect the diameters of the inner circle and the outer circle, the cylindricity and the coaxiality of the sleeving ring at one time while the sleeving ring is clamped. Therefore, the detection efficiency and quality are increased.

Description

technical field [0001] The invention relates to the technical field of process equipment detection, in particular to a device for detecting the size and geometric error of a small unmanned aerial vehicle engine collar under room temperature conditions. Background technique [0002] Dimensional and geometric errors of UAV engine collar parts are one of the main factors affecting assembly performance. It is now known that the commonly used detection methods are based on traditional special gauges or general-purpose measuring tools and instruments to measure the diameter, cylindricity, and coaxiality of the inner and outer circles of the collar. Such multiple detection contents require multiple detection steps. To complete with measuring tools, the production efficiency is low, and the follow-up to the production site is poor. Contents of the invention [0003] In order to avoid the deficiencies in the prior art, the present invention proposes a detection device for the size...

AI Technical Summary

Problems solved by technology

It is now known that the commonly used detection methods are based on traditional special gauges or general-purpose measuring tools and instruments to measure the diameter, cylindricity, and coaxiality of the inner and outer circles of the collar. Such multiple detection contents require multiple detection steps. To complete with measuring tools, the production efficiency is low, and the follow-up to the production site is poor

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