Blade detection method based on line structured light

A line-structured light and detection method technology, applied in the direction of measuring devices, optical devices, instruments, etc., can solve the problems of high measurement cost and low measurement efficiency, and achieve the effect of reducing errors and data transmission

Active Publication Date: 2020-03-27
SICHUAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The three-coordinate measurement method has the advantages of strong versatility, high precision, and large measurement range, and is not affected by factors

Method used

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  • Blade detection method based on line structured light
  • Blade detection method based on line structured light
  • Blade detection method based on line structured light

Examples

Experimental program
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Embodiment Construction

[0053] Such as figure 1 As shown, the detection device required in this embodiment includes a support 100 that can translate along the spatial coordinates X, Y, and Z axes and a turntable 200 that can rotate around its own Z axis. The X, Y, and Z axes of the support 100 And the main movement of the Z-axis 210 of the turntable is three translation components (the support drives the line structured light profiler) and one rotation component (the turntable drives the blade to be measured), so that the distance between the line structured light profiler 300 and the blade to be measured 400 is Generate four-axis relative motion. Specifically, the Y-axis 102 of the bracket 100 is installed on the optical table 500, the X-axis 101 is horizontally and vertically and can be translated on the Y-axis 102, and the Z-axis 103 is vertically and vertically and can be translated on the X-axis 101, Z The axis 103 moves along the vertical direction and is equipped with a mounting plate 110, on...

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Abstract

The invention discloses a blade detection method based on line structured light, and the method comprises the steps: firstly carrying out the calibration of the pose of a line structured light profilometer for collecting data, carrying out the calibration of a rotatable turntable surface for installing a to-be-detected blade, and reducing the errors caused by the installation of a detection device; secondly, taking a reference surface A and a reference surface B of the to-be-measured blade as calibration references, calibrating a blade axis, calibrating a reference surface C of the to-be-measured blade; calibrating the Z axis of the rotary table according to the front edge characteristics of the blades; finally, establishing a global coordinate system through the Z axis of the rotary tableand the to-be-measured blade datum plane C. Compared with a traditional detection method, the blade detection method provided by the invention has the advantages that the measurement efficiency is high, the precision of the measured data is high, and the information of a plurality of sections of the blade can be obtained.

Description

technical field [0001] The invention belongs to the field of blade detection, and in particular relates to a blade detection method based on line structured light. Background technique [0002] As a key component in aero-engines, gas turbines, steam turbines and other equipment, blades undertake the important task of converting heat energy into mechanical energy. The shape and quality of blades directly affect the energy conversion efficiency and service life of the whole machine. Due to the irregular curved surface of the blade and the different profile of each section height, the blade detection work is more difficult. [0003] At present, the commonly used detection methods are the standard template measurement method and the three-coordinate measurement method. The standard template measurement method is used for the quality control of the blade processing process, and the measurement accuracy is low and the labor intensity is high. The three-coordinate measurement meth...

Claims

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Application Information

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IPC IPC(8): G01B11/24G01B21/22
CPCG01B11/24G01B21/22
Inventor 殷鸣王宗平刘浩浩殷国富
Owner SICHUAN UNIV
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