Optimization algorithm based on LabVIEW parallel operation and its application in Ni-Ti alloy wire dieless drawing
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摘要: 提出了一種采用LabVIEW并行運算提高傳統遺傳算法計算速度的方法,可實現多核計算機多線程的同時運算,從而大幅度提高運算效率.Ni-Ti合金線材無模拉拔初始階段拉拔速度路徑優化結果表明,在八核計算機上采用基于LabVIEW的多線程并行運算程序,與基于文本編程的MATLAB運算程序相比,前者運算時間僅為后者的1/8左右.Ni-Ti合金線材無模拉拔實驗結果表明,采用本文智能優化后的拉拔速度路徑,可使線材直徑波動長度縮短至24 mm,遠小于線性或S線型路徑的最小直徑波動長度.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.
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Key words:
- parallel operations /
- optimization /
- nickel alloys /
- titanium alloys /
- drawing
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