Rolling Train Taper Control via Predictive Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for rolling flat workpieces in multi-stand trains face challenges in predicting and adjusting delivery taper and camber, which can lead to undesirable shape changes and spoilage, especially when initial taper and camber are present, making it difficult to correct delivery taper solely based on rolling force signals.
Innovation Solution
An operating method for a rolling train where a control computer, using stand data and initial workpiece data, determines expected delivery taper and camber through a taper model, and adjusts variables to bring the delivery taper and camber close to desired values by varying rolling stand parameters such as roller force and offset, allowing for flexible adjustment of the rolling contour and tilt.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a taper model is introduced to predict delivery taper and camber, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
A taper model is introduced as an intermediary computational component between the rolling stand and the control computer. This model receives rolling parameters (rolling forces, roller offsets, workpiece properties) and predicts delivery taper and camber values, enabling precise control without direct complex measurement systems.
Solution Approach 2:
The taper model performs preliminary prediction of delivery taper and camber before the actual rolling operation completes. By calculating expected values in advance based on rolling parameters, the system can adjust rolling variables proactively to achieve desired workpiece geometry, rather than reacting to measurements after rolling.
2Manufacturing precision
If rolling variables are adjusted to correct delivery taper, then manufacturing precision is improved, but ease of operation deteriorates
Solution Approach 1:
The control computer implements a feedback mechanism where predicted delivery taper and camber values from the taper model are continuously compared with target values. Based on the deviation, the system automatically adjusts rolling variables (rolling forces, roller offsets) in subsequent passes to correct the workpiece geometry, reducing manual intervention.
Solution Approach 2:
The system performs self-correction of delivery taper and camber through automated feedback control. The control computer independently calculates required adjustments to rolling variables and implements them without operator intervention, making the complex correction process transparent and easy to operate.
Data Source
AI summary
A control computer for a rolling train is supplied with prescribed stand parameters of a rolling stand of the rolling train. The control computer sets variables describing a rolling pass of the rolling stand that together with initial data of a flat piece to be rolled and the stand data describe the resultant roll nip and the asymmetry thereof. The initial data may be width, average thickness and average strength of the workpiece to be rolled. Based on the initial data, the stand data and the set variables an expected delivery taper and/or an expected strip sabre for the workpiece is determined. At least one of the set variables is manipulated to bring the determined delivery taper close to a desired delivery taper and/or the strip sabre close to a desired strip sabre. The manipulated variables are used to control rolling the workpiece piece.