Method for detecting facet flatness in steam turbine cylinder

Abstract

The invention provides a method for detecting the facet flatness in a steam turbine cylinder. The method includes the steps of s1, building a detection system which comprises a wireless transceiving device, a laser emitter and a target; s2, calibrating the flatness, establishing an optical reference plane; s3, detecting the flatness, allowing a target to traverse all data points to measure the data information on each data point; s4, extracting the data information, collecting information measured by the target at the data points through software in intelligent processing equipment; and s5, reconstructing the data and outputting an analog diagram, carrying out data preprocessing on the data points through software, establishing a grid model for the data points, and outputting a three-dimensional simulation diagram by utilizing p-Laplace operator-based CCD image repairing technology. According to the invention, the flatness of the facet in a cylinder can be rapidly and accurately detected on site, and a three-dimensional simulated diagram which is used for representing the facets in the cylinder is output.

Description

technical field [0001] The invention relates to a technology for measuring surface flatness, in particular to a method for detecting the flatness of facets in cylinders of steam turbines. Background technique [0002] A steam turbine is a large-scale device powered by steam and converts the thermal energy of steam into mechanical work. It is the most widely used prime mover in modern thermal power plants. The steam turbine is composed of two aspects, the rotating part and the stationary part, among which the stator part includes the cylinder. The middle parting surface of the cylinder is the connection surface between the upper and lower half cylinders of the cylinder, and is connected by flanges and bolts. It is the key link to ensure the excellent sealing of the steam turbine. Due to the complex structure and large size of the cylinder of the steam turbine, and long-term operation under the condition of high temperature and high pressure, in addition to bearing the intern...

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Problems solved by technology

However, this method has four disadvantages: 1) There is a problem of portability of detection because the CMM is transported to the factory environment or the cylinder is transported to the laboratory; 2) The surface area of ​​the facet in the cylinder is large, and the detection site 3) Since the three-coordinate measuring machine is used to detect flat two-dimensional workpieces, and the surface defects of the facets in the cylinder are random and irregular, the surface defects in the entire horizontal plane Integrity flaws exist in the vertical and vertical heights, and relying on such equipment cannot fully characterize the error data systematically; 4) There is a problem that the three-coordinate measuring machine must go through the post-processing process, which does not meet the timeliness of on-site testing Require

The second is a contact detection method, based on the virtual centerline of the rotor in the cylinder body (the virtual straight line formed by connecting the head end and the tail end of the rotor), and measuring the cylinder by moving a special device with a dial gauge. The deformation value of the middle facet, this method is highly dependent on the equipment itself, it is difficult to find the benchmark, and the accuracy is low

The above methods are not only difficult to guarantee the detection accuracy of parts, but also the detection efficiency is extremely low

[0005] However, some foreign companies have designed large-scale truss structures and installed them on site. A robot arm is arranged on the truss, and a detection probe is installed on the robot arm to detect the flatness of the cylinder face. Disadvantages of high and difficult work

[0006] In addition, due to the current detection equipment's built-in software, the recognition of the detected surface is limited to regular graphics such as rectangles and circles during the detection process.

The data points need to be equally divided according to strict rules, which makes the detection object and the software application not match, which not only has a great impact on the detection accuracy, but also brings great inconvenience to the subsequent data processing and surface topography generation

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