On-line non-contact laser stereo scanning detection device for internal screw threads of tubing coupling

Abstract

The invention relates to an on-line non-contact laser stereo scanning detection device for the internal screw threads of a tubing coupling, which is used for carrying out one-by-one all-around dynamic on-line three-dimensional stereo scanning detection on the tooth profile parameters of all the internal screw threads to be processed in the processing process of special purpose machine tools, suchas a threading machine tool of the tubing coupling and the like, to the internal screw threads. The on-line non-contact laser three-dimensional scanning detection device comprises an axial movement mechanism assembly, a radial rotation mechanism assembly and a laser detection probe assembly. The radial rotation mechanism assembly is fixedly connected with the end of the axial movement mechanism assembly, and the laser detection probe assembly is fixedly connected at the end of the radial rotation mechanism assembly. The invention has a three-dimensional stereo scanning detection function, cancarry out high-speed high-accuracy on-line laser stereo scanning on the tooth profiles of the sections of different radial axles of the internal screw threads of the tubing coupling and obtains the three-dimensional stereo geometric information of the tooth profiles of the internal screw threads of the tubing coupling. The invention can enhance the detection accuracy and speed of the parameters of the internal screw threads, lightens the labor strength of a detection worker greatly and avoids the influence of human factors to the measurement accuracy. Moreover, the invention can be used for on-line quality monitoring and prediction and enhances the product quality.

Description

technical field [0001] The invention relates to an online non-contact laser three-dimensional scanning detection device for internal threads of oil pipe couplings, which can be used in the process of processing internal threads on special machine tools such as oil pipe coupling threading machine tools, and can perform one-by-one and comprehensive inspection of all processed internal thread tooth profiles. Azimuth and dynamic online three-dimensional scanning detection to obtain three-dimensional geometric information of tooth profile and tooth surface. According to these three-dimensional geometric information, various parameter indexes of the internal thread can be comprehensively calculated, and error compensation and correction can be performed. The invention belongs to the technical fields of machine tool precision detection technology and automatic testing technology. Background technique [0002] In oil field production technology and equipment, the interconnection be...

AI Technical Summary

Problems solved by technology

[0006] The current related internal and external thread automatic testing technologies or devices are essentially static and two-dimensional measurements, that is, the tooth profile of a specific axial section of the internal thread can only be detected in a static state, and the tooth profile of other axial sections cannot be obtained. shape information

However, technicians often draw relevant test conclusions based on the information of this specific shaft section, and judge whether the relevant parameters are qualified, and the accuracy of the test is difficult to guarantee.

However, the measurement of some parameters cannot be accurately known only by the measurement data of a specific shaft section tooth profile.

For example, the taper of the internal thread is calculated only by the tooth profile data of a specific shaft section. Due to the installation error of the measuring device and the workpiece, the calculated taper parameter value cannot meet the accuracy requirements, and it is very difficult to correct.

Therefore, the existing detection methods, technologies and devices for internal threads of tubing couplings cannot perform three-dimensional detection, let alone online detection, and cannot play the role of quality prediction, forecast, and quality control.

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