| 基于人工神经网络-遗传算法的1Cr18Ni9Ti钢激光表面熔凝工艺优化 |
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| 引用本文： | 潘清跃,宋仁国,张奇志,黄卫东,周尧和. 基于人工神经网络-遗传算法的1Cr18Ni9Ti钢激光表面熔凝工艺优化[J]. 材料研究学报, 1998, 12(3): 251-256 |
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| 作者姓名： | 潘清跃 宋仁国 张奇志 黄卫东 周尧和 |
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| 作者单位： | 西北工业大学凝固技术国家重点实验室，西北工业大学凝固技术国家重点实验室，北京机械工业学院，西北工业大学凝固技术国家重点实验室!西安市，710072，西北工业大学凝固技术国家重点实验室 |
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| 基金项目： | 中国工程物理研究院院外基金 |
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| 摘 要： | 采用激光表面熔凝对1Cr18Ni9Ti奥氏体不锈钢进行改善表面耐蚀性能的处理、研究了工艺参数与腐蚀性能之间的实验关系在此基础上，应用人工神经网络－遗传算法优化激光表面处理工艺.结果表明，神经网络结合遗传算法是材料激光加工工艺优化一种有效而简单的手段.
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| 关 键 词： | 人工神经网络 遗传算法 激光表面熔凝 抗腐蚀性能 |
ON OPTIMIZATION OF LASER SURFACE MELTING TECHNOLOGY FOR 1Cr18Ni9Ti STEEL BASED UPON ARTIFICIAL NEURAL NETWORK-GENETIC ALGORITHM |
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| PAN Qingyue, SONG Renguo, ZHANG Qizhi, HUANG Weidong, ZHOU Yaohe. ON OPTIMIZATION OF LASER SURFACE MELTING TECHNOLOGY FOR 1Cr18Ni9Ti STEEL BASED UPON ARTIFICIAL NEURAL NETWORK-GENETIC ALGORITHM[J]. Chinese Journal of Materials Research, 1998, 12(3): 251-256 |
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| Authors: | PAN Qingyue SONG Renguo ZHANG Qizhi HUANG Weidong ZHOU Yaohe |
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| Abstract: | Laser su rface remelting was conducted to improve the corrosion resistance of 1Cr18Ni9Ti austenitic stainless steeI. Experimental relationship betWeen laser treatment pararneters and corrosion resistance was investigated. Particularly, an artificial neural netWork-genetic algorithm was introducedto optimize the laser Surface treatment technique. our results strongly indicated that artificial neural network combined with genetic algorithm offers a new efFective means for technology optimization of materials processing. |
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| Keywords: | artificial neural network genetic algorithm laser surface melting corrosion resistance |
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