JPS6264401A - Hot rough rolling method - Google Patents

Abstract

PURPOSE:To assure specified quality for a post stage and to quickly detect the abnormality of a prestage in rough rolling of steel products, more particularly steel ingot by comparing the results of the comparison between the driving power consumption of each pass of rolling mills and the reference value of the time required for rolling with an abnormal pattern. CONSTITUTION:The rolling mills 2, 1 respectively have, for example, 2, 4 passes. The material of approximately the prescribed temp., size shape and weight is fed to the former. The driving power consumption P, rolling start and end time T and material weight W of a mill motor 3 is converted to a digital value by an analog-to-digital converter 5 and is continuously inputted in real time to a CPU 6. The driving power consumption and rolling time required for rolling per unit weight in each pass are calculated in this stage and the corresponding reference rolling pattern of a disk file 7 is called by a keyboard 8 to the CPU 6 which compares the calculated values with the respective reference values. The CPU identifies whether said pattern corresponds to which abnormal pattern and displays the same on a display device 9 if there is the abnormality in the driving power consumption of the rolling in each pass.

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Field of Application] The present invention relates to a rough rolling method for steel materials, shell materials, and aluminum.

[Conventional technology and problems] In hot rough rolling of steel materials, etc., the material dimensions, material feed pitch, temperature in the soaking furnace to maintain the steel material at high temperature, heating temperature, etc.
Rolling operations are managed by setting various rolling conditions such as heating time, rolling speed, and dimensions of each pass, tracing them using monitoring devices such as temperature recorders, power indicators, etc., and adjusting the conditions automatically or manually. There is.

Normally, during rough rolling, the work proceeds according to the set conditions mentioned above, but all the individual conditions! 41 It is difficult to manage the equipment in terms of equipment costs, and even though all conditions are set at the beginning, they are managed and maintained in the middle of rolling to an extent that does not interfere with production. For example, there is no equipment attached to check the accurate soaking condition of the material or the condition of each pass hole type, which makes it difficult to maintain optimal rolling conditions and eliminates wasted energy, work accidents, and work man-hours. It is difficult to reduce fluctuations in subsequent processes and supply semi-finished products of constant quality.
Feedback of quality abnormality information to I process is also I'ffi.
This simply cannot be done, and although the rolling conditions are set in advance, precision control as a whole is not performed sufficiently.

As already explained, in the case of hot rough rolling work, various rolling conditions are set, traced using monitoring devices such as temperature recorders, power indicators, etc., and if necessary, conditions are corrected using the skills of experienced workers. However, relying on such skills also causes variations in the work depending on the level of work proficiency.

[Means for Solving the Problems] In order to solve the above-mentioned problems, the present invention reduces the power consumption and rolling mill time for each pass of the rolling mill through which one material passes during hot rough rolling of steel materials, etc. The feature is that the comparison result is obtained by comparing with the reference value, the comparison results for each pass are summarized, and the cause of the abnormality is detected by comparing it with the abnormal pattern. Based on the cause of this abnormality, the rolling process is This provides a method for hot rough rolling of steel materials that can be precisely controlled by providing feedback.

Here, abnormal patterns include, for example, when the cross section of the continuously cast steel slab is larger than the specified dimensions, when the power in the first rolling mill bus and the rolling time are greater than the standard values, and when the continuous cast slab is overheated. , the lr1 cost and power required for each pass is smaller than the standard value, and the rolling time required for each pass is also smaller than the standard value. be.

The present invention will be described in detail below with reference to the block diagram and Table 1 shown in the drawings.

FIG. 1 schematically shows an apparatus for implementing the invention.

In the figure, 2 and 1 each indicate a rolling mill, and rolling mill 2
For example, rolling mill 1 has 2 passes, and rolling mill 1 has 4 passes. A mill motor 3 drives the rolling mills 1 and 2.

A material having a predetermined temperature, size, shape, and m2 is sent to the rolling mill 2 from, for example, a soaking furnace.

5 is an AD converter, and this AD converter 5 is made of material ff.
The i amount, rolling start/end timing, rolling mill power, etc. are input and converted to digital roofing.

For material type ■, for example, at the position where the material leaves the soaking furnace,
This was measured using a weighing scale 4. In addition, the rolling opening/end timing is determined by detecting the power fluctuation of the mill motor 3 that occurs when each pass engages the starting end of the material to be rolled and opens the terminal end, or by detecting the power fluctuation of the mill motor 3 at the entrance or exit of each bus, or both. 9 can be determined by the provided position detector of the material to be rolled, and the power consumption for each pass can be determined from the power fluctuations that occur when the material to be rolled passes through each pass.

Power consumption P (current, voltage x current) of mill motor 3, rolling start/end timing T1 material ff! ff1W, A
The data is converted into digital data by a D converter and input continuously to the CPU 8 in real time. The CPU 8 calculates the power consumption and rolling time required for rolling per unit weight in each pass, calls the corresponding standard rolling pattern in the disk file 7 to the CPU 6 via the keyboard 8, and compares it with each standard value. .

If you have a convenience store for production management, you can also input it directly.

The standard rolling pattern is defined as ΔE (the difference between the rolling standard power value in each pass and the actual consumption dynamic value of the rolled material), Δt (the difference between the rolling standard required time value in each pass and the actual rolling time value of the rolled material). This is a table of standard values for determining the difference) by type and size. For example, if the material is hard, the standard value of rolling power will naturally be high, and if the rolling mill has a variable roll gap and can roll materials of various sizes into various sizes, it is necessary to It is necessary to set standard values individually depending on the finished size after rolling. Since the reference value varies depending on the rolling conditions such as product type and size, the rolling conditions are input using the keyboard 8 each time the rolling conditions are changed, and the corresponding standard rolling pattern is retrieved.

If there is an abnormality in the rolling power consumption in each pass, which abnormality pattern it corresponds to is identified and displayed on the display device 9.

The following are possible examples of abnormality indications:

1. Insufficient heating of rolled material, overheating 2. Abnormal dimensions (cross section x length) of rolled material (2H piece)
・・Thin, thick, long, short 3, Luck 211 One-sided apparent density abnormality・・・Many, few fruits 4, t11 Rolling dimension abnormality・Thick, thin, 5. Bus/line abnormalities: abnormal wear of roll guides (inlet, outlet) 6, caliber life prediction 7, roll cooling water abnormalities: material cooling, etc. Table 1 shows the standard power values and standard rolling mill hours for each bus. The difference in the actual rolling power consumption value and the actual rolling time of the compared materials to be rolled is illustrated. In Table 1, rolling Na indicates the number of the rolled material, and as already explained, ΔE indicates the difference between the rolling base power value and the actual power consumption value of the rolled material in each bus, and Δt represents the difference between the rolling base mulberry time value and the actual rolling time value of the rolled material in each bus.

Table 1 In Table 1, the bus has six stages. According to the state of ΔE and Δt in each of the 6-stage buses, for example, as shown in Figure 2, from a practical standpoint, the average actual power consumption and actual rolling time are lower than the standard values for all buses. When the value is displayed, it is because the rolling temperature is high, and it is considered that there is an abnormality in the soaking furnace, so this fact is displayed on the display η9. On the other hand, when the value is higher than the reference value, it is 0, which is due to the low rolling temperature and is considered to be an abnormality in the soaking furnace, so it is displayed on the display device 9 for that day.

Also, if only a particular bus requires a lot of power, it can be assumed that there is a flaw in the material or that there is a problem with the equipment.
To determine which abnormality is occurring, compare the waveform pattern created based on past results and stored in a disk file with the waveform pattern of the actual power consumption, and determine whether the former is an abnormal p or the latter. Identify and display abnormalities. Furthermore, if the power consumption locally fluctuates in any bus, it is considered that there is a defect in the material, so that line is displayed.

All of the items shown as diagnostic results in Table 1 are shown as examples based on the analysis of rolling results of a large number of the same type of rolled materials performed in the past using the current equipment, but the criteria shown at each pass position are The difference with the reference value and the appearance position pattern of the difference with each reference value in the entire bus through each bus in turn form the abnormality diagnosis pattern. It can also be formed. In the above implementation, the explanation was given on the condition that the weight of the material to be rolled is taken out, but the f of the material to be rolled is
It is unnecessary if f1ffl can be estimated with high accuracy.

The present invention monitors the hot rough rolling process of steel, copper, aluminum, etc.
It can be applied for management purposes.

[Effects] According to the present invention, it is possible to guarantee constant quality in the post-zero process, and even if it is not possible, it is possible to specify and supply abnormal bark conditions.

(2) Abnormalities in the previous process can be quickly checked.

(3) Heating conditions can be optimized and fuel costs can be reduced.

(4) It is possible to easily find the rolling conditions that minimize the amount of power;
That can be maintained.

As described above, according to the present invention, by monitoring the power consumption during rolling of each bus in multiple stages, it is possible to obtain the effect of precise control of rough rolling.

[Brief explanation of the drawing]

FIG. 1 schematically shows in block diagram form an apparatus implementing the invention. 1.2...Rolling mill, 3...Mill motor, 4...
Weight scale, 5...AD converter, 6...CPU17...
- Disk file, 8...Keyboard, 9...Display device.

Claims (1)

[Claims] (1) In rough rolling of steel materials, especially in rough rolling of continuous slabs,
The power consumption and rolling time of the rolling mill are measured, and the output from the measurement is input into a computer, while the rolling conditions set in advance are input into the computer, a standard rolling pattern is determined based on the rolling conditions, and the rolling pattern is transferred to the rolling machine. It is characterized by comparing the power consumption of each pass calculated from the power consumption and the required rolling time calculated from the timing of rolling start and end, and searching for and outputting a pre-prepared abnormal pattern from the comparison results. Hot rough rolling method for steel materials, etc.