Abstract

As a special rolling method, angular rolling can meet various gauge demands of customized production. Due to the asymmetry of angular rolling, the rolling forces on the two sides of the roll system are different and the thickness distribution of the plate will be complex. To accurately obtain the thickness distribution and predict the rolling force during the angular rolling process, a mathematical model based on the influence function method is developed. An experiment is also adopted to validate the results of the rolling force. The results show that the change in the total rolling force comprises three stages: increasing, stable, and decreasing. During most of the rolling time, the rolling forces on the two sides of the mill are different. Then the predicted results of the rolling force are validated by experiment. After the first pass of angular rolling, a serious wedge appears at the head and tail ends of the plate. But when the angular rolling is finished, the wedge has almost disappeared. Considering the short calculation time, this model can be applied in the actual production process for making effective shape control strategies and flexible rolling schedules to meet various gauge demands of customized production.

Highlights

  • Aluminium alloy thick plate is widely used in the automobile, aerospace, and marine industries due to its excellent corrosion resistance and specific strength

  • To meet the demand for various gages of aluminium alloy thick plate, angular rolling [1] is adopted in the upstream of hot rough rolling

  • When the rolling time is at 1.96 s, the angular rolling process is about to complete, so there is less metal in the deformation zone and compared to the beginning of the rolling process, the location of the metal is at the right side of the rolling centre line

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Summary

Introduction

Aluminium alloy thick plate is widely used in the automobile, aerospace, and marine industries due to its excellent corrosion resistance and specific strength. Compared to the finite element method, the influence function method which has high accuracy, requires a shorter calculation time and can be applied in the actual production process. Liu et al [18] used influence function method to model the cold rolling and temper rolling processes for thin strips. Liu et al [24] established a model for analysing the deformation of an upper roll system and strip in order to analyse the influence of technical parameters on the work roll axial force of a four-high continuous variable crown mill. A model for the prediction of rolling force and thickness distribution with influence function method with high accuracy is developed and applied in a continuous rolling process. To obtain the data of the unit rolling force and to validate the accuracy of the mathematical model, an angular rolling experiment is adopted

Experiment
Mathematic model based on influence function method
Rolling force
Roll gap shape
Thickness distribution after angular rolling
Conclusion
Full Text
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