Car Air Conditioning Tuyere Layout Analysis And Optimization

With the rapid development of automobile industry, the study of car indoorthermal comfort is becoming more and more attention to.Many researchers studyindoor temperature field and air distribution when car was going smoothly by usingcomputational fluid dynamics method.In winter and summer of north China, thetemperature outside the car had a greater influence on the thermal comfort ofpassenger compartment. The temperature of passenger compartment for parking carwill fall below zero in winter.When vehicles park outdoors in summer, the crewcompartment temperature soared to more than50. It brings a lot of inconvenience topeople. It is necessary about using method of computational fluid dynamics andoptimization algorithm to research car room temperature change rate.This article about summer for car air conditioner room cooling process and winterof car air conditioner room heating process is studied.The cooling processof unsteadytemperature field in the crew capsule is simulated, making use of computational fluiddynamics software FLUENT and the algorithm of PBCS, in addition to RNG-twoequation model replaced with the three-dimensional turbulence model. And then theworkflowis established, which includes numerical simulation, approximate modelandoptimization algorithm. The numerical simulation trains approximation model, usingradial basis function (RBF) neural network approximation model instead of the highcost of the simulation calculation.Multi-island GA is chosen to optimize the winddirection.For simulation calculation about unsteady temperature field of the passengercompartment in the process of temperature rising for the parked car starting in winter,FLUENT software is applied,PBCS algorithm is chosen, and RNG-two equationmodel is replaced with the three-dimensional turbulence mode. Under the existing airconditioning tuyere layout, analyze the results of numerical simulation, airconditioning tuyere layout is improved by analyzing the results of the process ofnumerical simulation. Results show that in the summer air conditioning cooling process, using theoptimization technology to realize automatic iterative simulation process, andautomatically find the optimal direction, by comparing before and after optimization ofcar cloud chamber temperature and heat flow value calculation. The cooling area isgreater than the optimization of the wind cooling area, and the heat flow value alsoincreases significantly.For air conditioning heating process, through the improvementof air conditioning tuyere layout, the front occupants temperature too low and thestatus of the uneven distribution of temperature field in the back are improvedeffectively.