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基于冷损双流体模型及主元分析-支持向量机算法的制冷陈列柜冷风幕优化分析 被引量：4

Optimization of Cold Air Curtain of Refrigeration Display Case Based on RLTF Model and PCA-SVM Algorithm
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摘要 利用冷损双流体(RLTF)模型对立式敞开型陈列柜冷风幕及其四周气体流动和传热进行数值模拟,确定其冷损量及影响因素,建立冷损量的目标函数,通过主元分析-支持向量机(PCA-SVM)算法对目标函数寻优,并经过实验加以验证.结果表明,经优化后,陈列柜的冷损量下降了19.6%,单位展示面积的每日耗电量(TEC/TDA)减少了17.1%. To confirm the refrigerating loss and influence parameters of the open vertical display case,the two-fluid model of refrigerating loss （RLTF） was built to study the flow and heat transfer of air curtain and air around. After the object function of refrigerating loss is built, it is solved by principal component analysis （PCA） -support vector machine （SVM） algorithm. By validating the experimental data, the refrigerating loss and TEC/TDA of optimum display case are reduced by 19.6% and 17.1% respectively.
作者 曹志坤 谷波 黄彬彬 顾众
机构地区 上海交通大学机械与动力工程学院 开利空调冷冻研发中心
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2009年第5期772-776,782,共6页 Journal of Shanghai Jiaotong University
基金 国家自然科学基金资助项目(50876059)
关键词 冷风幕 冷损双流体模型 主元分析 支持向量机算法 优化分析 cold air curtain two-fluid model of refrigerating loss （RLTF） model principal component analysis （PCA） support vector machine （SVM） algorithm optimization analysis
分类号 TK14 [动力工程及工程热物理—热能工程]
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参考文献17

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二级参考文献7

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共引文献54

同被引文献81

引证文献4

二级引证文献57

上海交通大学学报
2009年 第5期

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