Roller Gap Prediction for Non-Steady-State Rolling Deformation
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Solution Overview
Problem
Current methods for predicting roller gaps in non-steady-state rolling processes have low accuracy, typically around 95%, which affects the thickness precision of rolled products, making it difficult to meet design requirements.
Innovation Solution
A method and device for predicting roller gaps in non-steady-state processes involving the division of the rolling deformation zone into inlet elastic compression, plastic deformation, and outlet elastic recovery zones, using predetermined models to calculate rolling forces and roller flattening radii, and determining the roller gap through function calculations, including equations such as R=R0[1+1.7×10-12πwPtotal(Tinlet-Tgap+ΔTt-Toutlet-Tgap)2] and Sgap =2Tgap-Ptotal′K.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing prediction methods are used for non-steady-state rolling processes, then the prediction process is simple, but the prediction accuracy is low (around 95%)
Solution Approach 1:
The rolling deformation zone is segmented into three distinct zones: inlet elastic compression zone, plastic deformation zone, and outlet elastic recovery zone. Each zone is analyzed separately with appropriate mechanical models, allowing for more accurate prediction of roller gap changes while maintaining manageable computational complexity through zonal decomposition.
Solution Approach 2:
The patent introduces dynamic parameter changes including roller flattening radius variation, real-time rolling force calculations, and iterative convergence criteria. These parameter changes enable the model to adapt to non-steady-state conditions, improving prediction accuracy from 95% to over 98% by capturing the transient behavior of the rolling process.
2Manufacturing precision
If a detailed multi-zone analysis method is used, then the prediction accuracy increases to over 98%, but the calculation complexity increases
Solution Approach 1:
By dividing the deformation zone into three segments with distinct mechanical characteristics, the patent achieves high thickness precision (over 98% accuracy) while keeping the calculation model structured and manageable. Each zone uses appropriate constitutive models, avoiding the need for a single overly complex unified model.
Solution Approach 2:
The patent implements iterative calculation with convergence criteria, where the rolling force and roller flattening radius are updated repeatedly until the solution converges. This feedback mechanism ensures high prediction accuracy by continuously refining the results, while the convergence criterion prevents infinite iterations, balancing accuracy with computational efficiency.
3Adaptability or versatility
If steady-state prediction models are used, then the model is simple, but it is not suitable for non-steady-state processes with changing roller gap
Solution Approach 1:
The patent transitions from static steady-state models to dynamic non-steady-state analysis by incorporating time-varying parameters such as roller gap changes, instantaneous rolling forces, and dynamic roller flattening. This enables the model to adapt to changing process conditions while maintaining a structured analytical framework through the three-zone decomposition.
Solution Approach 2:
The model incorporates changing parameters specific to non-steady-state processes, including variable roller gap, dynamic rolling velocity, and time-dependent material properties. These parameter changes enable the model to capture transient behavior, improving adaptability to real-world variable gauge rolling conditions while using systematic calculation methods to manage the increased complexity.
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
The prediction accuracy of roller gaps is increased to over 98%, improving the thickness accuracy of rolled products and aligning with design specifications.
Implementation Method 1
determining, based on the plurality of first rolling parameters, a rolling force of the inlet elastic compression zone and a rolling force of the outlet elastic recovery zone through function calculations using a predetermined elastic mechanics calculation model
Implementation Method 2
determining, based on the plurality of first rolling parameters and a predetermined velocity field in a non-steady-state process deformation zone, a rolling force of the plastic deformation zone through function calculations using a predetermined energy technique
Data Source
AI summary
Provided are a method and a device for predicting a roller gap in a non-steady-state process. The method includes: obtaining a plurality of first rolling parameters; dividing, based on the plurality of first rolling parameters, a rolling deformation zone into an inlet elastic compression zone, a plastic deformation zone, and an outlet elastic recovery zone; determining a rolling force of the inlet elastic compression zone and a rolling force of the outlet elastic recovery zone through function calculations using a predetermined elastic mechanics calculation model; determining a rolling force of the plastic deformation zone through function calculations using a predetermined energy technique; determining, based on a coupling relationship between the rolling forces and a roller flattening radius, a first total rolling force of the non-steady-state process deformation zone that satisfies a predetermined convergence condition; obtaining the roller gap through function calculations using a first predetermined function model.