Laser surface strengthening detection control system

Abstract

The invention relates to a system for real-time detection control of a hardened area image during a laser quenching process, which mainly comprises two modules of a detection module and a control module; the detection module mainly comprises image acquisition, image cutting, noise smoothing, gray processing, threshold segmentation processing, pseudo-color processing, and the like. In the control module, a PID control method is adopted, which comprises the following steps: comparing a detected width of the hardened area with a given value, calculating a deviation value, adjusting a console speed based on the deviation value so as to compensate the inconsistency of the hardened area width caused by inconsistent material surface roughness. The two parts of the detection and the control parts form a loop-locked control system which adjusts the laser scanning speed continuously, and thus obtains a hardened band with a uniform width.

Description

technical field [0001] The invention relates to a process detection and control system, in particular to a system for real-time detection and control of the laser quenching process. Background technique [0002] At present, through a large number of experiments or artificial intelligence technology, the relationship between laser quenching process parameters and material properties is continuously explored to realize laser surface strengthening performance prediction and process parameter optimization design. However, due to the complexity of the laser quenching process itself, it is also due to With the increasing requirements of laser quenching processing, the limitations of this approach are becoming more and more prominent. [0003] Due to the different roughness of the surface of the processed material, the absorption rate of the laser on the surface of the material is different during the laser processing process. The current processing method, the processing parameter...

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Problems solved by technology

[0002] At present, through a large number of experiments or artificial intelligence technology, the relationship between laser quenching process parameters and material properties is continuously explored to realize laser surface strengthening performance prediction and process parameter optimization design. However, due to the complexity of the laser quenching process itself, it is also due to With the increasing requirements of laser quenching processing, the limitations of this approach are becoming more and more prominent

[0003] Due to the different roughness of the surface of the processed material, the absorption rate of the laser on the surface of the material is different during the laser processing process. The current processing method, the processing parameters of the laser are unchanged, which causes the processing of the material Different widths of the hardened zone on the surface, thus affecting the properties of the workpiece surface

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