1. Importance of analyzing cutting quality trends
In the laser cutting process, analyzing cutting quality trends from the Monitor box data is the key to ensuring production efficiency and product quality. Accurately grasping these trends can timely discover potential problems, avoid the generation of a large number of waste products, and optimize cutting process parameters to improve the overall cutting effect.
2. Pay attention to the changing trends of key parameters
First of all, we should pay attention to the laser power data. Stable power is the basis for high-quality cutting. If the power data shows a trend of gradually deviating from the set value, such as continuous reduction, it may lead to insufficient cutting depth, narrowing of the incision or incomplete cutting. A sudden increase in power may cause excessive melting and slag on the cutting surface. Cutting speed data should not be ignored. Speed fluctuations will affect cutting quality. When the speed becomes faster, the cutting surface may appear striped and rough; slowing down the speed may cause the heat-affected zone to increase and excessive material loss. In addition, the data of focus position and gas flow rate are also critical. Inaccurate focus position will cause abnormal energy distribution, and abnormal gas flow rate will affect slag discharge and oxidation degree of the cutting surface.
3. Consideration of the relationship between parameters
The cutting quality trend analysis also needs to consider the relationship between parameters. For example, the laser power and cutting speed should maintain a suitable ratio. If the power remains unchanged but the speed increases, the incision quality may deteriorate, which is manifested as uneven incision width and burrs on the edge. At the same time, the gas flow rate should match the cutting speed and power. If the speed increases but the gas flow rate does not increase accordingly, the slag is not discharged in time, which will affect the flatness and finish of the cut surface. By analyzing the coordinated changes between these parameters, the development trend of cutting quality can be judged more comprehensively.
4. Based on statistical analysis and comparison
Statistical analysis of the data accumulated by Monitor box for a long time is an effective way to grasp the trend. Calculate the mean value, standard deviation and other statistical quantities of each parameter and observe their changes. An increase in the standard deviation means that the parameters are unstable and the cutting quality tends to deteriorate. At the same time, compare the data of different batches or different time periods to find out the law of quality fluctuation. For example, by comparing the data of the same material cutting task, if the roughness-related parameters of a batch deviate significantly from other batches, the problems in the cutting process of the batch can be targeted, so as to effectively predict and control the changes in cutting quality.
