Study On Performance Optimization Of Tube-and-Fin Radiator For 5-Ton Mechanical Loader

With the improvement of saving energy and reducing emission requirements,the way about increasing the volume to improve the radiator performance cannot meet the market demand.How to make the radiator more efficient that the loader can maintain a stable thermal balance under bad working conditions has become the research focus of the industry.Aiming at the overheating problem of a 5-ton loader with high power diesel engine,an improved program of installing airfoil on the outer of radiator tube was proposed.The model of typical tube-and-fin radiator unit was established and simulated,the results of simulation were compared with test.The new type radiator with airfoil structure was established and its specific parameters were determined.The performance of new radiator was compared with that of the typical radiator.The influence about each parameter of airfoil on pressure loss and heat transfer coefficient was analyzed,the sensitivity about every parameter of airfoil was studied by combining orthogonal test and signal-to-noise ratio analysis.Taking pressure loss and heat exchange as the optimization objectives of the new radiator,the multi-objective genetic algorithm was applied to solve the optimization of airfoil and the optimization results were simulated and verified.The maximum error between simulation results and test data is under 5%,which proves the accuracy of simulation results.The airfoil configuration parameters of combination 11 in the orthogonal experiment were selected to carry out modeling and simulation for the new type radiator,in the simulation interval,the pressure loss of the typical and the new type radiators is basically the same,but heat transfer coefficient and comprehensive evaluation factor of new radiator are higher than that of typical radiator.When the velocity is 12m/s,the comprehensive evaluation factor is about 7.09% higher.The chord length of airfoil structure contributed the most to radiator performance,which is 43.44%,the tensile thickness and mounting angle are 27.05% and 16.40% respectively,the installation position contributed the least,13.11%.When heat exchange tends to be the same,the pressure loss of the optimized radiator decreases by 3.04% compared with that before optimization.When the pressure loss tends to be the same,the heat exchange of the optimized radiator increases by 2.35% compared with that before optimization.The simulation demonstrates the effectiveness of the optimized method.This study provide a reference for radiator design and have great significance in the improvement of radiator.Figure 38;Table 15;Reference 60...