Hydroforming process optimization of aluminum alloy tube using intelligent control technique
Hydroforming process optimization of aluminum alloy tube using intelligent control technique
复制标题
DOI：
10.1016/j.ijmachtools.2006.01.028
复制
发表时间：
2006-09
影响因子：
14
通讯作者：
K. Manabe;M. Suetake;H. Koyama;Ming Yang
中科院分区：
文献类型：
--
作者：
K. Manabe;M. Suetake;H. Koyama;Ming Yang
为了确定管件液压成形过程的最优加载路径，将作者提出的数据库辅助模糊过程控制算法应用于逆冲t支成形。管状材料为铝合金（A6063-T1），外径42.7mm，壁厚1.2mm。控制变量是轴向进给量，反冲位移和内部压力。前两个变量依赖于最后一个变量，后者是自变量。在控制算法中，采用了新的分支肩部屈曲和反冲接触拟合的评估函数。对于包含模糊算法和评价函数的“虚拟控制系统”，采用显式动态有限元程序进行仿真。实验采用虚拟控制系统获得的模糊控制路径，并与传统的手动控制路径进行了比较。结果，t支产品成功氢成型。结果表明，模糊控制算法和虚拟控制系统可以为铝合金管的液压成形过程提供合适的加载路径。
In this study, to determine the optimal loading path of tube hydroforming process, a database-assisted fuzzy process control algorithm proposed previously by the authors was applied to T-branch forming with a counterpunch. The tubular material used is aluminum alloy (A6063-T1) and has an outer diameter of 42.7mm and wall thickness of 1.2mm. Control variables is axial feed, counterpunch displacement, and internal pressure. The first two variables are dependent on the last one, which is an independent variable. In the control algorithm, new evaluation functions are adopted for buckling at the shoulder part of the branch and for contact fitting with a counterpunch. For a “virtual control system” including fuzzy algorithm with the evaluation functions, an explicit dynamic finite element code is used in the simulation. The experiments are carried out using a fuzzy controlled path obtained by the virtual control system, compared with the conventional manual control path that is attained by a trial-and-error approach. As a result, a T-branch product is successfully hydroformed. This result shows that the fuzzy control algorithm and virtual control system can provide an adequate loading path in the hydroforming process for an aluminum alloy tube.