Optimisation of air-distributor channel structural parameters based on Taguchi orthogonal design

Air distributors are a typical kind of ventilation terminal that are widely used in air-conditioning systems. However, the high flow resistance of traditional air distributors leads to huge energy losses and poor indoor thermal comfort. Therefore, this paper uses experimental and numerical methods t...

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Veröffentlicht in:Case studies in thermal engineering 2020-10, Vol.21, p.100685, Article 100685
Hauptverfasser: Feng, Guozeng, Lei, Shuya, Guo, Yuejiao, Shi, Dachuan, Shen, Jiu Bing
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Sprache:eng
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Zusammenfassung:Air distributors are a typical kind of ventilation terminal that are widely used in air-conditioning systems. However, the high flow resistance of traditional air distributors leads to huge energy losses and poor indoor thermal comfort. Therefore, this paper uses experimental and numerical methods to examine the influence of key structural parameters on the resistance coefficient of air distributors. First, a resistance-coefficient test is carried out, and based on the test results a computational fluid dynamics model is developed. Second, a Taguchi design table is created and numerical simulation data are collected. Finally, the prediction results of Mean Response and Assisted Regression are compared. The resistance coefficient of prediction combination of Assisted Regression model is lower, so the optimal scheme is as follows: d = 90 mm, D = 155.5 mm, and h = 96.5 mm. The predicted resistance coefficient is 1.503, and the difference between the predicted and simulation results accords with the 95% confidence interval. These findings show that numerical simulation and the analysis method based on the orthogonal design presented in this paper enable the optimal design of an air distributor. •The influence of structural parameters on air-distributor performance is studied experimentally and using simulations, and the reliability of the simulation method is verified.•A Taguchi orthogonal array is created to obtain a balanced scheme, and the simulation results of all schemes are collected.•The best combination and resistance coefficient are predicted by means of average response and assisted regression.•D (155.5 mm), d (90 mm), h (96.5 mm) are selected as the optimal scheme by assisted regression model.
ISSN:2214-157X
2214-157X
DOI:10.1016/j.csite.2020.100685