Optimization and Experimental Validation of Aluminum Alloy Plate Hot-rolling Based on Constraint of Warpage Threshold

被引：0
|
作者：
Ye H. [1 ,2 ]
Fan W. [1 ]
Qin G. [1 ]
Lin F. [1 ]
Zheng X. [3 ,4 ]
Yang Y. [1 ]
机构：
[1] School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang, 330063, Jiangxi
[2] College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, Jiangsu
[3] School of Materials Science and Engineering, Central South University, Changsha, 410083, Hunan
[4] Alnan Aluminium Co., Ltd., Nanning, 530031, Guangxi
来源：
Binggong Xuebao/Acta Armamentarii | 2020年 / 41卷 / 08期
关键词：
Aluminum alloy plate; Coupled prediction; Genetic algorithm; Snake-like hot rolling; Velocity ratio; Wrap threshold;
D O I：
10.3969/j.issn.1000-1093.2020.08.017
中图分类号：
学科分类号：
摘要：
The snake-like hot-rolling can divide the casted coarse grains into the machined microstructures by completely deforming the center of aluminum alloy plate. It is the key to prepare the thick aluminum alloy plates. Therefore, the warpage and its control in the process of snake-like rolling are studied. The mechanism model of hot-rolling of aluminum alloy plates is studied, and a finite element model is reasonably established for some training samples of neural network. The accuracy of the proposed model is verified by comparing the simulated and measured results. The maximum relative errors of stress and strain are 6.92% and 7.33%, respectively. Moreover, there exists about 13% relative error of warp factor. And a coupled prediction model of equivalent strain and warp factor is proposed according to the finite groups of training samples. The coupled prediction model is able to predict the simulated results within 6 % error margin. Under the condition that the warp factor is not more than the given threshold value, an optimal model with the objective of maximum equivalent strain is proposed for the rolling parameters. When an individual fitness is constructed to be a function of the average equivalent strain, the genetic algorithm can be used to solve the optimal model for rolling parameters. The proposed method can be used not only to improve the simulating calculation efficiency of rolling process, but also provide a basic theory of design and selection of rolling parameters. The propose method can not only improve the calculation efficiency of simulation of rolling process, but also provide a basic theory of design and selection of rolling parameters. © 2020, Editorial Board of Acta Armamentarii. All right reserved.
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页码：1623 / 1632
页数：9
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