Technical method for large curved-surface composite material tool overall detection

Abstract

The invention relates to a technical method for large curved-surface composite material tool overall detection. A nylon bulb and a cylindrical steel handle are assembled into a whole by means of a shanked bulb and are clamped to a cutter clamping handle of a numerical control machine tool; if contact deformation is generated between the bulb and a detected surface of a tool, the nylon bulb rubs a developing agent on the surface of the tool in a milling mode to form parallel marks, and the deformation tendency of the tool is judged according to width changes of the marks; the actual deformation amount of the tool is calculated according to z-axis adjustment amount, width difference, normal vectors and other parameters of the numerical control machine tool; according to the deformation amount and the tendency of the tool, a machining solution of a next procedure is formulated. The technical method improves detection efficiency of the tool in the machining process, a lot of subsidiary time is reduced, production cost can be greatly reduced, manufacturing efficiency and machining quality of the tool are improved, and labor intensity of operators and hoisting and overturning risks of a large tool are reduced.

Description

technical field [0001] The invention relates to a process method for the overall detection of a large-scale curved surface composite material tooling, which is used for the rapid detection of the tooling during the numerical control machining process of the tooling, and belongs to the field of mechanical manufacturing. Background technique [0002] In order to improve the stability of aviation large-scale composite material tooling, designers have increased the tolerance requirements for the thickness of the tooling's formed steel plate. Because the supporting base of the tooling and the connection with the formed steel plate are all welded, although the stress relief operation has been performed on the tooling, there is still the problem of secondary release of the remaining welding stress during the CNC machining process, and there is also the generation of processing stress . Under the combined action of the two, the tooling often deforms in different degrees and trends ...

AI Technical Summary

Problems solved by technology

[0004] 1) The deformation state of the tooling is judged by comparing the gap between the contact surface and the level difference between different templates through the large-scale cut surface template stuck in the tooling surface. When the curvature of the tooling changes greatly, it mainly depends on a number of experienced operators. It is completed in cooperation with each other, and it is difficult for workers to operate, the workload is heavy, and there is a large detection error;

[0005] 2) The optical non-contact measurement process is cumbersome, and there are many auxiliary man-hours in the early stage, especially when the surface roughness of the tooling after rough machining is large, and when the surface of the tooling changes greatly, the accuracy of the data obtained by optical scanning and photography is not very good. When manually processing the collected point cloud data through computer software, it is easy to cause misjudgment, and the digital-analog effect after fitting is poor, and there are cases of distortion;

[0006] 3) CNC three-coordinate measuring machine contact measurement of large curved surface composite tooling, whether it is pre-collected coordinate point programming measurement, or contact scanning measurement, the process requires a lot of auxiliary man-hours, and the measurement data needs to be manually processed through computer software in the later stage. Analysis, fitting, and numerical simulation obtained by fitting the measured data are greatly affected by the business level and experience of the surveyors and craftsmen

[0007] In many cases, the analysis results obtained by conventional methods cannot truly reflect the state of the actual tooling, and the detection process is cumbersome, with many auxiliary man-hours, and the detection data is easily distorted. Accurate and efficient machining solutions

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