Workpiece flatness detection method and device

Abstract

The invention provides a workpiece flatness detection method comprising the steps that a workpiece is clamped on a flatness detection device; a detection probe is controlled to detect distance from each scan detection point on the surface of the workpiece to the detection probe in turn, and whether the distance is within a preset distance range is determined, wherein the detection probe is arranged on the flatness detection device; and when the distance from each scan detection point to the detection probe is within the preset distance range, workpiece flatness is qualified through judgment. The invention also provides the workpiece flatness detection device. According to the workpiece flatness detection method and device, automatic detection of workpiece flatness can be realized so that detection precision and detection efficiency can be enhanced and production cost can be reduced.

Description

technical field [0001] The invention relates to the field of electronic equipment manufacturing, in particular to a method and device for detecting the flatness of a workpiece. Background technique [0002] In the production process of electronic equipment such as mobile phones and tablet computers, various thin-plate workpieces are used, such as casings, battery covers, middle frames, etc. Due to the small thickness of the thin-plate workpieces, defects such as bending and deformation will inevitably occur. During product assembly, if workpieces with bending and deformation defects are assembled into finished products, it will easily lead to assembly gaps and affect product quality. In order to prevent defective workpieces from flowing into the assembly support, it is usually necessary to inspect the flatness of thin-plate workpieces after they are formed. A common method in the prior art is to place the workpiece on a flat inspection table, and use a prefabricated flat ru...

AI Technical Summary

Problems solved by technology

However, the existing flatness detection method is low in efficiency and poor in accuracy, and because it is manually detected by the inspectors, the inspectors are prone to fatigue, and there are inspection omissions, which will cause defective workpieces to flow into the assembly process; at the same time, the manual inspection method will also Increase labor costs, which is not conducive to the improvement of production efficiency and product cost control

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