基于Isight平台的房车空调送风参数优化
|
摘要
为了提高房车空调夏季降温效果,对房车空调的送风温度、速度、角度进行优化研究。利用CFD方法对房车内流场进行数值模拟。应用k-e RNG湍流模型,合理的设置热力学边界条件,并引入太阳辐射模型。以Isight软件为优化平台集成Fluent软件搭建房车夏季降温多目标优化设计流程。通过最优拉丁超立方试验设计方法设计样本点,采用径向基函数神经网络建立近似模型,并结合NCGA遗传算法对不同送风参数进行多目标优化。在Pareto最优解集中选取最优折衷解,并通过CFD仿真和房车静态温度实验对比验证。结果表明:建立的近似模型能很好取代内流场仿真进行多目标优化,优化后的结果使房车内部能够获得更好的气流组织形式,温度场、速度场更加合理。
In order to improve cooling effect of RV air conditioning in summer, air supply temperature, speed and angle of RV air conditioning are optimized and studied. We use the method of CFD to run a numerical simulation of flow field in RV. Applying a k-e RNG turbulence model, we reasonably set thermodynamic boundary conditions and introduce a solar radiation model. We take the software Isight as the optimization platform and integrate the software Fluent to build a multi-objective optimization design process for RV summer cooling. Sample points are designed by the method of optimal Latin hypercube test. The radial basis function neural network is used to establish an approximate model, which is combined with the NCGA genetic algorithm to optimize different air supply parameters with multiple objectives. The optimal compromise solution is selected in the Pareto optimal solution set and verified by CFD simulation and RV static temperature experiment. The results show that the approximate model can replace internal flow field simulation for multi-objective optimization. The optimized results enable better airflow organization in the RV, and it makes the temperature field and velocity field more reasonable.
In order to improve cooling effect of RV air conditioning in summer, air supply temperature, speed and angle of RV air conditioning are optimized and studied. We use the method of CFD to run a numerical simulation of flow field in RV. Applying a k-e RNG turbulence model, we reasonably set thermodynamic boundary conditions and introduce a solar radiation model. We take the software Isight as the optimization platform and integrate the software Fluent to build a multi-objective optimization design process for RV summer cooling. Sample points are designed by the method of optimal Latin hypercube test. The radial basis function neural network is used to establish an approximate model, which is combined with the NCGA genetic algorithm to optimize different air supply parameters with multiple objectives. The optimal compromise solution is selected in the Pareto optimal solution set and verified by CFD simulation and RV static temperature experiment. The results show that the approximate model can replace internal flow field simulation for multi-objective optimization. The optimized results enable better airflow organization in the RV, and it makes the temperature field and velocity field more reasonable.
引文
[1]张玉洁.现代房车内部空间的优化设计研究[D].大连:大连理工大学,2013.ZHANG Yujie.The Research on Optimization Design of Modern RV Interior Space[D].Dalian:Dalian University of Technology,2013.
[2]SHAFIE N E A,KAMAR H M,KAMSAH N.Effects of Air Supply Diffusers and Air Return Grilles Layout on Contaminants Concentration in Bus Passenger Compartment[J].International Journal of Automotive Technology,2016,17(5):751-762.
[3]SHOJAEE M H,TEHRANI F P H,NOORPOOR A R,et al.Analysis of Vehicle Passenger Compartment HVAC Using Simulation[C]//SAE 2004 World Congress&Exhibition,2004.
[4]ZHANG H,DAI L,XU G,et al.Studies of Air-flow and Temperature Fields Inside a Passenger Compartment for Improving Thermal Comfort and Saving Energy.Part I:Test/Numerical Model and Validation[J].Applied Thermal Engineering,2009.
[5]林家泉,吴垌,连美如.基于ADPI和吹风感指数的客舱热舒适性模拟优化[J].液压与气动,2018,(2):40-45.LIN Jiaquan,WU Tong,LIAN Meiru.Simulation and Optimization Based on ADPI and Draft Rate for Cabin Thermal Comfort[J].Chinese Hydraulics&Pneumatics,2018,(2):40-45.
[6]林家泉,李弯弯.空调送风速度对客舱环境影响的模拟及优化[J].液压与气动,2016,(10):12-17.LIN Jiaquan,LI Wanwan.Simulation and Optimization for the Effect of Air Supply Velocity on Cabin Environment[J].Chinese Hydraulics&Pneumatics,2016,(10):12-17.
[7]谢金法,段冉.基于Isight和Fluent软件的轿车空调风向优化研究[J].郑州大学学报(工学版),2014,35(3):124-128.XIE Jinfa,DUAN Ran.Research on Optimization of Car Air Conditioning Wind Direction Based on Isight and Fluent Software[J].Journal of Zhengzhou University(Engineering Science Edition),2014,35(3):124-128.
[8]唐江明,谷正气,莫志姣,等.汽车空调送风格栅优化与乘员热舒适性改进[J].合肥工业大学学报(自然科学版),2016,39(3):309-313,394.TANG Jiangming,GU Zhengqi,MO Zhijiao,et al.Optimization of Vehicle Air-conditioning Grilles and the Improvement of Passenger Thermal Comfort[J].Journal of Hefei University of Technology(Natural Science Edition),2016,39(3):309-313,394.
[9]陶文栓.数值传热学[M].西安:西安交通大学出版社,1988.TAO Wenshuan.Numerical Heat Transfer[M].Xi'an:Xi'an Jiaotong University Press,1988.
[10]赖宇阳.Isight参数优化理论与实例详解[M].北京:北京航空航天大学出版社,2012.LAI Yuyang.Isight Parameter Optimization Theory and Examples[M].Beijing:Beihang University Press,2012.
[11]CHEN S,SHI T,WANG D,et al.Multi-objective Opti-mization of the Vehicle Ride Comfort Based on Kriging Approximate Model and NSGA-II[J].Journal of Mechanical Science&Technology,2015,29(3):1007-1018.
[12]American Society of Heating Refrigerating and Air Conditioning Engineers.ASHRAE STANDARD:An American Standard:Thermal Environmental Conditions for Human Occupancy[M].American Society of Heating Refrigeration and Air Conditioning Engineers,1992.
[13]WATANABE S,HIROYASU T,MIKI M.NCGA:Neigh-borhood Cultivation Genetic Algorithm for Multiobjective Optimization Problems[C]//Late Breaking Papers at the Genetic and Evolutionary Computation Conference.2002:458-465.
[14]刘海龙.车辆乘员舱舒适性分析与热环境优化[D].长春:吉林大学,2017.LIU Hailong.Analysis and Optimization on Thermal Comfort of Vehicle Cabin[D].Changchun:Jilin University,2017.
[2]SHAFIE N E A,KAMAR H M,KAMSAH N.Effects of Air Supply Diffusers and Air Return Grilles Layout on Contaminants Concentration in Bus Passenger Compartment[J].International Journal of Automotive Technology,2016,17(5):751-762.
[3]SHOJAEE M H,TEHRANI F P H,NOORPOOR A R,et al.Analysis of Vehicle Passenger Compartment HVAC Using Simulation[C]//SAE 2004 World Congress&Exhibition,2004.
[4]ZHANG H,DAI L,XU G,et al.Studies of Air-flow and Temperature Fields Inside a Passenger Compartment for Improving Thermal Comfort and Saving Energy.Part I:Test/Numerical Model and Validation[J].Applied Thermal Engineering,2009.
[5]林家泉,吴垌,连美如.基于ADPI和吹风感指数的客舱热舒适性模拟优化[J].液压与气动,2018,(2):40-45.LIN Jiaquan,WU Tong,LIAN Meiru.Simulation and Optimization Based on ADPI and Draft Rate for Cabin Thermal Comfort[J].Chinese Hydraulics&Pneumatics,2018,(2):40-45.
[6]林家泉,李弯弯.空调送风速度对客舱环境影响的模拟及优化[J].液压与气动,2016,(10):12-17.LIN Jiaquan,LI Wanwan.Simulation and Optimization for the Effect of Air Supply Velocity on Cabin Environment[J].Chinese Hydraulics&Pneumatics,2016,(10):12-17.
[7]谢金法,段冉.基于Isight和Fluent软件的轿车空调风向优化研究[J].郑州大学学报(工学版),2014,35(3):124-128.XIE Jinfa,DUAN Ran.Research on Optimization of Car Air Conditioning Wind Direction Based on Isight and Fluent Software[J].Journal of Zhengzhou University(Engineering Science Edition),2014,35(3):124-128.
[8]唐江明,谷正气,莫志姣,等.汽车空调送风格栅优化与乘员热舒适性改进[J].合肥工业大学学报(自然科学版),2016,39(3):309-313,394.TANG Jiangming,GU Zhengqi,MO Zhijiao,et al.Optimization of Vehicle Air-conditioning Grilles and the Improvement of Passenger Thermal Comfort[J].Journal of Hefei University of Technology(Natural Science Edition),2016,39(3):309-313,394.
[9]陶文栓.数值传热学[M].西安:西安交通大学出版社,1988.TAO Wenshuan.Numerical Heat Transfer[M].Xi'an:Xi'an Jiaotong University Press,1988.
[10]赖宇阳.Isight参数优化理论与实例详解[M].北京:北京航空航天大学出版社,2012.LAI Yuyang.Isight Parameter Optimization Theory and Examples[M].Beijing:Beihang University Press,2012.
[11]CHEN S,SHI T,WANG D,et al.Multi-objective Opti-mization of the Vehicle Ride Comfort Based on Kriging Approximate Model and NSGA-II[J].Journal of Mechanical Science&Technology,2015,29(3):1007-1018.
[12]American Society of Heating Refrigerating and Air Conditioning Engineers.ASHRAE STANDARD:An American Standard:Thermal Environmental Conditions for Human Occupancy[M].American Society of Heating Refrigeration and Air Conditioning Engineers,1992.
[13]WATANABE S,HIROYASU T,MIKI M.NCGA:Neigh-borhood Cultivation Genetic Algorithm for Multiobjective Optimization Problems[C]//Late Breaking Papers at the Genetic and Evolutionary Computation Conference.2002:458-465.
[14]刘海龙.车辆乘员舱舒适性分析与热环境优化[D].长春:吉林大学,2017.LIU Hailong.Analysis and Optimization on Thermal Comfort of Vehicle Cabin[D].Changchun:Jilin University,2017.