Research On The Heat Transfer Process Of Evaporative Air Coolers And Modeling With SPSS

The energy cost, the environmental impact, the necessity of fulfilling established protocols, etc. force to reduce energy demand. This can be achieved using more energy efficient equipment. Evaporative air coolers is a novel condensing and cooling equipment, integrated with heat and mass transfer. Due to its compacted structure, low investment, potential high efficiency, economical operating cost, little in size, convenient installation and maintenance, it has been a broad application prospect in oil refining, chemical industry,metallurgy, refrigeration. So it stands for the new direction in the development of air cooling technology. But the design of evaporative air cool is still lack of enough experimental datum and theoretical guidance.In this paper, the process was analyzed deeply. We selected an ideal infinitesimal control body to carry out its material balance and energy balance calculation, from which, cognition of the process was deepened. On the basis of this cognition, the evaporative air cooling system test device was established, taking Polychlorinated Biphenyls(PCBS) as process fluid. We discussed the influence of the process fluid flow rate, inlet temperature of process fluid, water spray and air flow on the system's heat transfer performance. We found that only when the fan and spray water reached an optimal ratio, the maximum play to the characteristics of the evaporative air cooler could be obtained. The fan and spray water could coupling on condition that the former's frequency was 40 Hz while the latter's frequency was about 15 Hz frequency. And as the process fluid inlet temperature was 45 with 45 Hz frequency of working process fluid pump, 17.9 Hz frequency of spray water pump and 50 Hz frequency of fan, the system could acquire the largest united heat transfer coefficient outside pipes.With the perspective of statistical analysis and the concept of united heat transfer coefficient outside the tubes, we used IBM SPSS to research the factors which had significant influence on heat transfer coefficient outside the tubes through the multivariate linear regression analysis. Finally, the model for united heat transfer coefficient outside the tubes was built up. After contrast analysis model, the model NO.4 is the optimal one. The deviation between the calculation value and the experimental value is within 13%. This indicates the model has better correctness.