基于LabVIEW并行运算的优化算法及其在Ni-Ti合金线材无模拉拔中应用
Optimization algorithm based on LabVIEW parallel operation and its application in Ni-Ti alloy wire dieless drawing
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摘要: 提出了一种采用LabVIEW并行运算提高传统遗传算法计算速度的方法,可实现多核计算机多线程的同时运算,从而大幅度提高运算效率.Ni-Ti合金线材无模拉拔初始阶段拉拔速度路径优化结果表明,在八核计算机上采用基于LabVIEW的多线程并行运算程序,与基于文本编程的MATLAB运算程序相比,前者运算时间仅为后者的1/8左右.Ni-Ti合金线材无模拉拔实验结果表明,采用本文智能优化后的拉拔速度路径,可使线材直径波动长度缩短至24 mm,远小于线性或S线型路径的最小直径波动长度.Abstract: A optimization method based on LabVIEW parallel operation was proposed to improve the computing speed of the traditional genetic algorithm. When applied in a multi-core computer, the optimization method can achieve multithreading concurrent operations, thereby improving the efficiency of computation obviously. The initial speed-path of Ni-Ti alloy wire dieless drawing was optimized in an eight-core computer by using the optimization method. Compared with a method based on MATLAB program, the operation time of the optimization method is only about 1/8 as long as that of the former. Experimental results show that after adopting the optimized speed-path, the length of diameter fluctuation is about 24 mm, which is far less than that of other speed-paths such as the S-line style or linear path.