Rolling Mill Threading Control Using Predicted Start Parameters
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Solution Overview
Problem
Inaccurate operational inputs during metal substrate rolling lead to defects such as scratches, gouges, and ripples, resulting in material waste and reduced productivity.
Innovation Solution
A method and system that utilizes a controller to predict and control start parameters for a rolling mill based on historical parameters and substrate information, minimizing the occurrence of bad starts by adjusting work roll settings before the rolling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual or conventional control methods are used for setting start parameters in rolling operations, then operational simplicity is maintained, but manufacturing precision deteriorates due to wrong operational inputs causing defects
Solution Approach 1:
The system performs preliminary prediction of start parameters using historical data and substrate information before the rolling operation begins. This advance preparation ensures accurate flatness control settings are ready, preventing defects from wrong inputs while maintaining operational simplicity during actual rolling.
Solution Approach 2:
The control system automatically predicts and sets start parameters using its own historical data and substrate information without requiring manual intervention. This self-service capability improves manufacturing precision by eliminating human error while the automated nature keeps the interface simple for operators.
2Productivity
If conventional rolling start control is used, then device complexity is low, but productivity deteriorates due to bad starts requiring scrap or re-work
Solution Approach 1:
The system uses historical parameters from previous rolling operations as feedback to predict optimal start parameters. This feedback mechanism learns from past successes and failures, continuously improving prediction accuracy to prevent bad starts and maximize productivity without adding complex manual procedures.
Solution Approach 2:
By predicting start parameters in advance using substrate information and historical data, the system prepares optimal settings before rolling begins. This preliminary action prevents bad starts that would require scrap or re-work, thereby improving productivity while the automation keeps operational complexity low.
3Manufacturing precision
If accurate start parameters are manually determined, then manufacturing precision improves, but loss of time increases due to manual adjustment and trial-and-error
Solution Approach 1:
The system replaces manual mechanical adjustment and human decision-making with an automated prediction system that uses historical data and substrate information. This substitution instantly provides accurate start parameters without manual trial-and-error, improving both manufacturing precision and reducing setup time.
Solution Approach 2:
The control system automatically determines accurate start parameters using its own historical data and substrate information without requiring manual intervention. This self-service capability provides precise parameters instantly, eliminating the time loss associated with manual adjustment while maintaining high manufacturing precision.
4Manufacturing precision
If historical data and substrate information are processed to predict start parameters, then manufacturing precision improves, but use of energy increases due to computational requirements
Solution Approach 1:
The system processes only the necessary historical parameters and substrate information required for prediction, avoiding unnecessary computational overhead. This partial action approach achieves sufficient prediction accuracy for manufacturing precision while minimizing the energy consumption of the controller during the prediction process.
Data Source
AI summary
A method of rolling a metal substrate 104 with a rolling mill 100 includes receiving a historical parameter from a previous rolling operation and receiving substrate information about the metal substrate 104 to be rolled before rolling the metal substrate 104. The method also includes, before rolling the metal substrate 104, predicting a start parameter for the rolling mill 100 based on the historical parameter and the substrate information. The method may include rolling the metal substrate 104 with the rolling mill 100 by controlling the rolling mill based on the predicted start parameter at least during a start of the rolling of the metal substrate 104. A rolling mill 100 for a metal substrate 104 may include at least one work stand 102A, 102B and a controller 116 for predicting a start parameter for the rolling mill 100 based on the historical parameter and the substrate information before rolling of the metal substrate 104.