All-dimensional detection system and method for automobile shaft component

A detection system and a comprehensive technology, applied in the field of metal parts detection, can solve problems such as low efficiency, inability to guarantee the shooting of shaft parts, and inability to guarantee the reliability of the results, etc., to achieve a large working area, improve the image acquisition effect, facilitate manufacturing and The effect of using

Inactive Publication Date: 2019-05-31
苏州润智和智能科技有限公司
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Problems solved by technology

[0003] At present, the detection method of automobile shaft parts is generally through visual light detection, but due to the limitation of the detection system, it is often only possible to collect photos in a certain position of the shaft parts in this state, and manual processes are required. Adjustment, manual operation is inefficient on the one hand, on the other hand it cannot guarantee that all directions of the shaft parts are photographed, and the reliability of the results cannot be guaranteed

Method used

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  • All-dimensional detection system and method for automobile shaft component

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Embodiment Construction

[0024] Such as figure 1 As shown, the omni-directional detection system of a kind of automobile axle parts of the present embodiment comprises: CCD camera 2, camera movement module 3, axle class parts clamping module 4, wherein CCD camera 6 pixel resolutions are 1236 * 1626, frame The data rate is 20fps.

[0025] The omni-directional detection method of a kind of automobile shaft parts of the present embodiment, the main steps include:

[0026] Step 1: The algorithm software module converts the vehicle axle model into STL triangular patch format, and slices the triangular patch by slicing software. Then extract the outer contour of the model after slicing, and calculate the sampling points at equal intervals to the slicing contour line, and calculate the normal direction of the surface where the sampling points are located, the direction of the normal vector is the direction of the CCD camera 2 during detection (when printing the outer contour The external normal vector of t...

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Abstract

The invention discloses an all-dimensional detection system and method for an automobile shaft component. The system comprises a camera motion module, a shaft component clamping module, a detection module, a calculation module and a control module; the calculation module conducts slice contour calculation on a data model of the shaft component, equal-interval sampling point calculation is carriedout on a slice contour line, and the normal direction of the surface position where a sampling point is located is calculated. A control unit drives the camera motion module and the shaft component clamping module, and the orientation of an image acquisition unit right faces the surface of a printed piece. By means of the system and method, all-dimensional full-automatic image acquisition is carried on the outer surface of the automobile shaft component, a normal vector of any point on the outer surface is calculated through a slice algorithm, and it is ensured that a camera always faces the outer surface of the component in the printing process.

Description

technical field [0001] The invention relates to the technical field of metal parts detection, in particular to an all-round detection system and method for automobile axle parts. Background technique [0002] In the casting process of automobile shaft parts, some casting defects will inevitably occur, which will affect the product quality. The internal defect detection of castings is an important link in the casting production process. Early detection of defects allows early detection of defective products, saving time and cost. Internal defects, if left undetected or undetected, can cause critical mechanical components to fail. In order to avoid the influence of human fatigue and improve the detection accuracy, the intelligent detection system plays an important role in the production line. [0003] At present, the detection method of automobile shaft parts is generally through visual light detection, but due to the limitation of the detection system, it is often only ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B25B11/00G01N23/04
Inventor 沈洪垚林志伟杜旺哲
Owner 苏州润智和智能科技有限公司
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