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神经元网络在钢淬透性计算中的应用

Application of neural network in calculation of steel quenching degree

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【作者】 陶百生孙彦广高克伟

【Author】 TAO Bai-sheng~1,SUN Yan-guang~2,GAO Ke-wei~3 (1.Beijing Aritime Intelligent Control Co Ltd,Iron & Steel Enterprise Dept,Beijing 100071,China;2.Automation Researchand Design Institute of Metallurgical Industry;3.Jiangyin Xingcheng Iron & Steel Co,Ltd)

【机构】 北京金自天正智能控制股份有限公司钢铁事业部冶金自动化研究设计院江阴兴澄钢铁有限公司 北京100071

【摘要】 钢淬透性的定量计算在结构件钢种的设计与制造中具有重要意义。淬透性主要取决于钢的化学成分和钢的组织结构。精确描述淬透性与钢的化学成分和钢的组织结构之间的关系是非常困难的,传统方法是采用一些经验公式。本文采用神经元网络计算方法,利用此方法的优点来克服传统方法的不足,提高钢淬透性计算的精度。

【Abstract】 Quantitative calculation of steel quenching degree has very important significance for design and manufacture of steel species applied to structure. Quenching degree is mainly determined by chemical composition and organization structure of steel.It is very difficult to describe the relation between quenching degree and chemical composition and organization structure of steel accurately.Some experiential formulas have been adopted in traditional methods. Neural network calculation method is used in our work and can overcome deficiency of some traditional methods and improve calculation accuracy of steel quenching degree.

【关键词】 神经元网络淬透性离线训练
【Key words】 neural networkquenching degreeoff-line training
  • 【文献出处】 冶金自动化 ,Metallurgical Industry Automation , 编辑部邮箱 ,2004年03期
  • 【分类号】TG156.3
  • 【被引频次】4
  • 【下载频次】99
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