Rolling Mill Exit Temperature Modeling for Metallic Strip Control
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Solution Overview
Problem
In the production of metallic strips or sheets, existing methods lack effective temperature control and process parameter optimization, particularly after the last rolling stand, leading to inefficiencies in cooling and quality control.
Innovation Solution
A method that calculates the temperature of the strip or sheet at the exit of the last rolling mill using a temperature calculation model, allowing for real-time adjustment of process parameters such as cooling water supply, inductive heating, and thermal insulation to achieve precise temperature control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature measurement is performed only upstream of the last rolling stand, then the measurement system is simple, but the temperature control precision at the exit is insufficient
Solution Approach 1:
A calculation model is introduced as an intermediary between the upstream temperature measurement and the exit temperature control. The model calculates the exit temperature based on upstream measurement data and process parameters, serving as a virtual sensor that provides accurate exit temperature information without requiring direct physical measurement at the exit point.
Solution Approach 2:
The temperature calculation is performed in advance based on upstream measurements and process parameters, providing predictive temperature information at the exit point before the actual cooling or heating occurs. This allows proactive adjustment of process parameters to achieve target exit temperatures.
2Manufacturing precision
If process parameters are adjusted based on upstream temperature only, then the control response is fast, but the temperature distribution uniformity is poor
Solution Approach 1:
The system implements feedback control by continuously comparing the calculated exit temperature with the target temperature and adjusting process parameters accordingly. The calculation model provides real-time temperature prediction that feeds back to the control system, enabling closed-loop control for uniform temperature distribution.
Solution Approach 2:
The control system dynamically adjusts process parameters based on real-time calculated temperature data. The calculation model adapts to changing process conditions and provides dynamic temperature predictions, allowing the control system to respond flexibly to maintain optimal temperature distribution throughout the strip.
3Productivity
If cooling water supply is increased to improve cooling efficiency, then the cooling rate increases, but the temperature uniformity across the strip width deteriorates
Solution Approach 1:
The control system applies local quality control by adjusting cooling water supply to different zones of the strip based on calculated temperature requirements. Different regions of the strip receive different cooling intensities to achieve uniform overall temperature distribution, with cooler regions receiving less cooling and hotter regions receiving more cooling.
Solution Approach 2:
The system changes cooling parameters dynamically based on calculated temperature profiles. Instead of uniform cooling water supply, the system adjusts water flow rate, temperature, and distribution patterns according to the calculated temperature state of different strip regions, optimizing both cooling efficiency and temperature uniformity.
4Measurement precision
If multiple pyrometers are installed along the conveying direction, then the temperature profile can be measured accurately, but the device complexity and cost increase
Solution Approach 1:
The calculation model serves as a virtual intermediary that reconstructs the temperature profile using limited physical measurements combined with process knowledge. Instead of requiring multiple physical pyrometers, the model calculates temperatures at different positions based on upstream measurements and heat transfer modeling, providing accurate temperature profiles with minimal sensing infrastructure.
Solution Approach 2:
The system creates a virtual copy of the physical temperature field through mathematical modeling. The calculation model replicates the temperature distribution that would be measured by multiple pyrometers, using computational methods to generate temperature profile data without the need for corresponding physical sensors at each location.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables improved temperature distribution and quality of the final product, reducing scrap material and enhancing the manufacturing process by allowing for online control and precise setting of temperature profiles.
Implementation Method 1
Calculating a temperature for the strip or sheet immediately at the exit of the last rolling stand of the rolling mill by means of a temperature calculation model based on the temperature of the strip or sheet measured upstream
Implementation Method 2
the strip or sheet is cooled in the multi-stand rolling mill and/or downstream of the rolling mill
Implementation Method 3
cooling water supply
Implementation Method 4
cooling water supply
Implementation Method 5
inductive heating
Implementation Method 6
thermal insulation
Data Source
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AI summary
The invention relates to a method for producing a metallic strip or plate (1), wherein the strip or plate is rolled in a multi-stand rolling mill (11) and output behind the last roll stand (14) of the rolling mill (11) in the conveying direction (F), the strip or plate (1) being cooled in the multi-stand rolling mill (11) and/or downstream of the rolling mill (11), viewed in the conveying direction (F), a temperature of the strip or plate (1) being measured upstream of the last roll stand (14) of the rolling mill (11), viewed in the conveying direction (F). Proceeding from this measured temperature, a temperature for the strip or plate (1) on the output (A) of the last roll stand (14) of the rolling mill (11) is then determined purely by computation using a temperature calculation model, by means of which temperature additional processes of the production method can be open-loop or closed-loop controlled, following comparison to a predetermined reference value.