| 人工智能在冷轧带肋钢筋工艺参数优化中的应用 |
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| 引用本文： | 李军红,周天瑞,郑荣,谢克非.人工智能在冷轧带肋钢筋工艺参数优化中的应用[J].塑性工程学报,2005,12(2):65-68. |
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| 作者姓名： | 李军红 周天瑞 郑荣 谢克非 |
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| 作者单位： | 南昌大学机电工程学院,南昌,330029 |
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| 基金项目： | 江西省科技厅工业攻关项目(03202594) |
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| 摘 要： | 论述了人工智能在冷轧带肋钢筋工艺参数优化中的应用,首先利用神经网络建立起冷轧带肋钢筋工艺参数与产品抗拉强度之间关系的数学模型,然后用遗传算法对工艺参数优化。按优化后的工艺参数在某拉丝加工厂进行了大批量生产试验,产品的合格率达到98%以上,从而为控制冷轧带肋钢筋工艺参数提供了一条行之有效的途径。
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| 关 键 词： | 冷轧带肋钢筋 工艺参数 神经网络 遗传算法 优化 |
| 文章编号： | 1007-2012(2005)02-0065-04 |
| 修稿时间： | 2004年6月14日 |
Optimizing the process parameters for making cold-rolled ribbed steel wires and bars based on artificial intelligence |
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| Li Junhong,ZHOU Tianrui,Zheng Rong,XIE Kefei.Optimizing the process parameters for making cold-rolled ribbed steel wires and bars based on artificial intelligence[J].Journal of Plasticity Engineering,2005,12(2):65-68. |
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| Authors: | Li Junhong ZHOU Tianrui Zheng Rong XIE Kefei |
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| Abstract: | This text described the application of artificial intelligence in optimizing the process parameters for making cold-rolled ribbed steel wires and bars. First of all, the mathematics model between the process parameters for making cold-rolled ribbed steel wires and bars and the tensile strength of product was set up with neural network. Then, the process parameters was optimized with genetic algorithm. Through doing a mass of productive tests in the Xinye drawn wire factory according to the optimized process parameters, the qualification rate of the products was more than 98%. So it is a kind of effectual means for controlling the process parameters for making cold-rolled ribbed steel wires and bars. |
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| Keywords: | cold-rolled ribbed steel wires and bars process parameters neural network genetic algorithm optimizing |
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