Brief introduction of setting time sequence for finishing rolling of packaging steel strip

Brief introduction of setting time sequence for finishing rolling of packaging steel strip
　　The main task of setting the thickness of the finishing rolling is to determine the rolling mills of each stand according to the incoming material conditions (mainly billet temperature, steel grade, strip thickness and width, etc.) and finished product requirements (mainly thickness and final rolling temperature) No-load roll gap. The first calculation of finishing rolling is based on the actual inspection results (thickness, width, temperature, etc.) and finished product specifications after rough rolling, and the mathematical model is used for predictive calculation to determine the load distribution and reduction of each stand Procedures, calculate the rolling force, and determine the position of each overhead roll gap, that is, the screw down. The second calculation is that when the strip reaches the finishing mill population, based on the actual elapsed time from the rough rolling exit to the finishing rolling population, the temperature is calculated again using the mathematical model for calculating the temperature drop to perform the re-tuning calculation of the rolling schedule. If the actual elapsed time is not much different from the standard value used in the first calculation, the second calculation is not required. For the third time, when the strip enters the first and second finish rolling stands, the actual measurement data such as rolling pressure is used for adaptive calculation to further correct the setting values u200bu200bof the subsequent stands. However, the hardness of the strip head cannot represent the hardness of the entire strip; an unbalanced state may also occur when the strip is threaded. Therefore, although computers have this function, they are often not used. Finally, after the strip passes through the entire finishing mill, the measured temperature, thickness, pressure, speed, voltage, current and other data are collected, and these signals are fed back to the computer for adaptive and self-learning calculations to improve the next Setting calculation for a piece of strip steel.