Cold Rolling Condition Setting for Sheet Crown Stability

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Solution Overview

Problem

Existing methods struggle to maintain stability and productivity during cold rolling of difficult-to-roll materials with high loads and small pre-rolling sheet thickness, leading to fluctuations in sheet crown and potential defects or breakage.

Innovation Solution

A cold rolling mill rolling condition setting method using a prediction model that transforms pre-cold rolling data into multi-dimensional information, predicts the post-cold rolling state, and adjusts rolling conditions to ensure stability and productivity by estimating and adjusting the post-rolling shape of the material.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic control is used for cold rolling, then productivity is improved, but the ability to handle sheet crown fluctuations and maintain stability deteriorates

Engineering Contradiction:

Improvecold rolling productivityVSAvoidcold rolling stability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary analysis of sheet crown fluctuations using learned models before the actual rolling process, predicting the magnitude and pattern of fluctuations. This allows the control system to pre-adjust rolling conditions and shape control actuator settings in advance, ensuring stability is maintained even during high-speed automatic operation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism where the learned sheet crown fluctuation patterns are continuously used to adjust control decisions. The control system monitors actual rolling conditions, compares them with learned patterns, and dynamically adjusts shape control actuator settings to compensate for predicted fluctuations, maintaining stability throughout the rolling process.

Inventive Principle:

Principle #23Feedback

2Reliability

If operator experience is relied upon for setting pass schedule and shape control, then cold rolling stability is improved, but productivity varies and cannot be maximized

Engineering Contradiction:

Improvecold rolling stabilityVSAvoidcold rolling productivity

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system enables self-service by automatically learning sheet crown fluctuation patterns from historical data and using this learned knowledge to autonomously determine optimal pass schedules and shape control settings. This eliminates dependency on operator experience while consistently achieving stable rolling results, allowing the system to operate at maximum productivity without human intervention.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system transforms qualitative operator experience into quantitative learned parameters that can be systematically applied. By converting expert knowledge into learnable patterns of sheet crown fluctuations, the system can automatically adjust multiple control parameters (pass schedule, shape control actuator settings) to achieve both stability and maximum productivity consistently.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If high rolling load is applied to thin pre-rolling sheet, then productivity is improved, but shape defects and breakage occur

Engineering Contradiction:

Improverolling speedVSAvoidpost-rolling shape accuracy

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system performs preliminary analysis of the relationship between rolling load and resulting sheet crown fluctuations using learned models. By predicting the magnitude and pattern of shape defects before they occur, the system can pre-adjust shape control actuator settings to counteract the expected defects, allowing high rolling loads to be applied without sacrificing shape accuracy.

Inventive Principle:

Principle #9Preliminary anti-action

Solution Approach 2:

The system uses learned knowledge to predict sheet crown fluctuations caused by high rolling loads before the actual rolling occurs. This allows the control system to pre-adjust rolling conditions and shape control settings in advance, preventing shape defects and breakage while maintaining high productivity rolling speeds.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12617009B2Cold rolling mill rolling condition setting method, cold rolling method, steel sheet manufacturing method, cold rolling mill rolling condition setting device, and cold rolling mill

Publication Date: 2026.05.05 JFE STEEL CORP

AI summary

A cold rolling mill rolling condition setting method using a prediction model being generated with an explanatory variable being first multi-dimensional data obtained by transforming past rolling performance data including pre-cold rolling data of a roll material on an entry side of the cold rolling mill into multi-dimensional data, and an objective variable being post-cold rolling data of the roll material on a delivery side of the cold rolling mill, the method includes: estimating a post-rolling shape of a roll target material by inputting, to the prediction model, second multi-dimensional data generated from information including the pre-cold rolling data of the roll target material on the entry side of the cold rolling mill and a target rolling condition of the cold rolling mill; and changing the target rolling condition of the cold rolling mill such that the estimated post-rolling shape of the roll target material satisfies a predetermined condition.