杨磊磊,陆皓,余春,王学成,刘陈,孙乙轩

• 1:上海交通大学材料科学与工程学院
• 2:吉林亚新工程检测有限公司

摘要(Abstract)：

利用计算流体动力学软件FLUENT建立了烟气、容器、保温棉多层热流固耦合模型。模拟得到了大型压力容器热处理升温阶段温度场分布。结果表明,模拟结果与实验相吻合,相对误差在±1.2%以内。基于FLUENT计算结果,以富氧燃烧时火焰温度和容器不同层位置作为输入变量建立含15个隐含层的BP神经网络。采用经过训练的神经网络,预测容器不同层温度,得到的相对误差仅为0.34%,准确性高,省去了大量的FLUENT计算,提高了预测效率。

关键词(KeyWords)： FLUENT;压力容器;神经网络;计算流体动力学;热处理

Abstract:

Keywords:

基金项目(Foundation): 国家科技重大专项(2012ZX04010-091);; 国家自然科学基金(51575347)

作者(Author): 杨磊磊,陆皓,余春,王学成,刘陈,孙乙轩

DOI: 10.13289/j.issn.1009-6264.2016.12.028

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