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奥里油锅炉高温腐蚀的混沌预测

Chaotic Forecasting of High-Temperature Corrosion of Orimulsion Furnace

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【作者】 梁平赵明龙新峰

【Author】 Liang Ping1 Zhao Ming1 Long Xin-feng2(1.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China;2.School of Chemical and Energy Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China)

【机构】 华南理工大学电力学院华南理工大学化工与能源学院 广东广州510640广东广州510640

【摘要】 奥里油中含钒量较多,是锅炉预防高温腐蚀设计中的大难题.文中针对奥里油钒高温下的腐蚀机理,运用混沌理论,建立基于最大Lyapunov指数的腐蚀预测模型,并以电阻探针测得某输油管道内的高温腐蚀深度数据,对所提出的腐蚀预测模型进行校验.预测与评估结果显示:腐蚀深度误差均小于6%,平均误差为3.58%,预测精度较高,表明所提出的预测模型可以有效预测金属的高温腐蚀状况,为奥里油钒的高温腐蚀预测提供理论依据.

【Abstract】 The large amount of vanadium in Orimulsion may cause unexpected problems in the prevention of high-temperature corrosion of furnace.In order to solve this problem,the corrosion mechanism of vanadium at high temperature is analyzed and the chaos theory is adopted to establish a corrosion-forecasting model based on the maximum Lyapunov exponent.The proposed model is then tested according to the depth of high-temperature corrosion of a pipeline measured by means of a resistance probe.Tested and predicated results show that the prediction is of high precision,and that the error of corrosion depth is less than 6% with the average being 3.58%.It is thus concluded that the proposed forecasting model can effectively predict the high-temperature corrosion of metal and lay theoretical foundations for the forecasting of vanadium corrosion at high temperature.

【基金】 广东省自然科学基金资助项目(05006518)
  • 【文献出处】 华南理工大学学报(自然科学版) ,Journal of South China University of Technology(Natural Science Edition) , 编辑部邮箱 ,2008年02期
  • 【分类号】TG172
  • 【下载频次】126
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