发动机冷却系统性能评估方法及正向设计应用

刘佳鑫,王宝中,龙海洋,蒋炎坤

车用发动机 ›› 2017, Vol. 0 ›› Issue (5) : 6-10.

车用发动机 ›› 2017, Vol. 0 ›› Issue (5) : 6-10. DOI: 10.3969/j.issn.10012222.2017.05.002
栏目

发动机冷却系统性能评估方法及正向设计应用

  • 刘佳鑫1,2,王宝中1,龙海洋1,蒋炎坤2
作者信息 +

Performance Evaluation and Top Down Design of Engine Cooling System

  • LIU Jiaxin1,2,WANG Baozhong1,LONG Haiyang1,JIANG Yankun2
Author information +
文章历史 +

摘要

工程车辆通常将冷却风扇与散热器进行组合作为发动机冷却系统,为便于对冷却系统性能进行评估,在熵产单元数、㶲效率等散热器性能评价方法基础上,将冷却风扇纳入评价体系,实现系统性能评估。结合国内某型双钢轮振动压路机,将该方法应用于正向设计中,实现对冷却风扇优选。结果表明:以冷空气侧的空气体积流量为公共变量,可将冷却风扇与散热器整合在熵产单元数、㶲效率的评价指标内;三维CFD仿真模型中,中冷器、冷却液散热器、液压油散热器热流体温度误差分别为3.15%,4.07%,2.83%,误差在合理范围内,仿真模型正确;仿真中获取的冷空气实际流量,对整个评价和设计具有较为重要的作用;在产品正向设计时,该方法可用于冷却风扇优选。

Abstract

Engine cooling system of construction vehicle usually consists of cooling fans and radiators. Based on the entropy and exergy efficiency evaluation parameters of radiator, cooling fan was introduced as an element of evaluation objects to realize the evaluation of cooling system. The method was applied to topdown design of domestic doubledun vibration road roller, which made optimization and selection of cooling fan come true. The results show that the cooling system can be evaluated by considering the cooling fan and radiator together and using the air volume flow rate as public variable. According to 3D simulated results, the heat flow temperature error of intercooler, coolant radiator and hydraulic oil is 3.15%, 4.07% and 2.83% respectively. The acquired actual air volume flow rate plays an important role in the whole performance evaluation and product design. Accordingly, the method can be used for cooling fan selection optimization during the topdown design.

关键词

工程车辆 / 冷却系统 / 匹配 / 评价方法

Key words

construction vehicle / cooling system / match / evaluation method

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导出引用
刘佳鑫,王宝中,龙海洋,蒋炎坤. 发动机冷却系统性能评估方法及正向设计应用[J]. 车用发动机. 2017, 0(5): 6-10 https://doi.org/10.3969/j.issn.10012222.2017.05.002
LIU Jiaxin,WANG Baozhong,LONG Haiyang,JIANG Yankun. Performance Evaluation and Top Down Design of Engine Cooling System[J]. Vehicle Engine. 2017, 0(5): 6-10 https://doi.org/10.3969/j.issn.10012222.2017.05.002

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