Laser cutting machine high quality assurance methods

High quality laser cutting the main index is no cutting defects and the cutting surface roughness value is small, so the real-time detection of the target should be able to identify cutting defects and can reflect the information of cutting surface roughness is detected, in order to obtain the information of roughness important, difficulty is big. On the cut surface roughness detection, important research is the discovery of cutting edge optical radiation spectrum of signal pulse frequency is equal to the cut surface is cutting the frequency of stripe, and cutting stripe frequency related to the roughness of this photocell detects radiation signal is linked with the cut surface roughness. The characteristics of the method is that the testing equipment and signal processing system is simple, fast detection and processing, but the deficiency of the method is: further study shows that the cutting edge optical radiation signal frequency and the cutting surface of stripe frequency consistency is limited to small cutting speed range, when is greater than a certain cutting speed, the signal frequency disappear, already can't find any information related to training cutting stripes on. The extracted cutting-edge optical radiation signal spectrum and frequency of laser cutting machine, and only related to the cutting surface of cutting stripe, do not reflect the lower cutting stripe, had made no mention of valuable information. Because the general cut surface ( Very thin plate cutting except) All points up and down two parts, the upper cut stripes and tidy, fine, roughness is small; Lower cutting stripe is disorder, roughness, the lower the rough, near the lower edge of roughness values. Only reflect the quality of the testing signals good regional situation, does not reflect the lower quality is poor, do not reflect more about the poor quality of lower edge information, to it as the basis of cutting quality evaluation and control is not reasonable, is not reliable. Only rely on the cutting edge of optical radiation intensity signal greater limitations, difficult to under the normal cutting speed gain valuable information about cutting machine surface roughness, especially near the lower edge roughness information. While using visual wei sensillum monitoring cutting along and fire shot images of flowers, can obtain more comprehensive about the defects and the cutting surface roughness is more abundant information.