-
公开(公告)号：EP4282991A1
公开(公告)日：2023-11-29
申请号：EP22779522.6
申请日：2022-02-04
摘要： An object is to provide a method for manufacturing a high-hardness and high-quality rail through a simple cooling process even in the presence of temperature variations in the longitudinal direction of the rail before the start of cooling.
A rail manufacturing method includes a step of accelerated cooling a rail having a temperature equal to or higher than an austenite region temperature. In the rail manufacturing method, austenite represents a portion of a region from a cooled surface of a rail head to a depth of 5 mm at the end of accelerated cooling, and the temperature of a rail head surface at the completion of heat recuperation after the end of accelerated cooling is in a pearlite transformation temperature range.-
公开(公告)号：EP4166682A1
公开(公告)日：2023-04-19
申请号：EP21820925.2
申请日：2021-03-08
发明人： OSUKA, Kenichi , FUKUDA, Hiroyuki , UEOKA, Satoshi
摘要： Thermal treatment of a rail having a stable hardness distribution is enabled. The hardness of a rail after the rail having a temperature equal to or higher than an austenite region temperature is forcibly cooled in a cooling facility (7) is predicted. A plurality of sets of data for learning composed of a cooling condition data set and output data of hardness are acquired using a model that performs computing by using a cooling condition data set having at least a surface temperature of the rail before the start of cooling and the operating conditions of the cooling facility (7) as input data and the hardness inside the rail after the forced cooling as output data. A hardness prediction model using the cooling condition data set as at least input data and information on the hardness inside the rail after the forced cooling as output data is generated in advance by machine learning using the acquired plurality of sets of data for learning. The hardness of the rail is predicted from the hardness inside the rail with respect to a set of cooling condition data sets set as cooling conditions of the forced cooling by using the hardness prediction model.
-
公开(公告)号：EP4052815A1
公开(公告)日：2022-09-07
申请号：EP20882570.3
申请日：2020-10-28
发明人： OSUKA, Kenichi , UEOKA, Satoshi
IPC分类号： B22D11/124 , B22D11/22
摘要： Provided is a secondary cooling method for a continuously cast strand that allows the facility to be maintained easily and allows the uniformity of the cooling capacity to be improved.
The secondary cooling method for a continuously cast strand according to the present invention includes cooling a strand 5 using spray nozzles 21 having a quadrangular spray pattern. The spray nozzles 21 are arranged in the width direction of the strand between guide rolls 19 having a radius d (unit: mm) and arranged in a casting direction with a center-to-center distance P (unit: mm) in part or all of a horizontal zone 15 in a secondary cooling zone of a continuous casting machine 1. For each of the spray nozzles 21 that spray cooling water, values of the water volume density of the cooling water at two points A and B that are spaced apart in the casting direction by a distance L (unit: mm) are 50% of the maximum value of the water volume density in the casting direction, and the relation between the distance L and the center-to-center distance P satisfies formula (1) below. The strand is cooled while a nucleate boiling state is maintained in the range between the point A and the point B: L / P ≥ 0.70 .
-
-
搜索结果
3 条记录 (耗时 0.01 秒)
