DOE-Decision Support System for Optimizing Air Box Parameters in Air Shower
How to Cite?
Pasura Aungkulanon, Anucha Hirunwat, Lakkana Ruekkasaem, Pongchanun Luangpaiboon, "DOE-Decision Support System for Optimizing Air Box Parameters in Air Shower," International Journal of Engineering Trends and Technology, vol. 69, no. 6, pp. 170-174, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I6P225
Air flow of nozzles in an air shower (AS) can greatly enhance the cleanroom’s performance by removing particles from humans and materials before entering to the cleanroom. After an installation, the air velocity of each nozzle was lower than all the customer requirements. The main problems are an air box and some defects from production and installation processes. The objective of this research was to find the optimal parameter levels for the production process of an air box in the AS via a decision support based on a design of experiment (DOE). The DOE was designed based on the 2k factorial design with four influential parameters. They consist of the width (W), length (L), and height (H) of an air box including a nozzle orifice diameter. The air velocity of nozzles from two replications were analyzed using the DOE-decision support. The results of all four parameters were statistically significant at the 95% confidence interval. The most appropriate levels of those four parameters could be achieved by setting the (W x L x H) dimension of an air box at (630 x 900 x 250) mm and the nozzle orifice diameter at 25 mm. This proposed setting for an air box are suggested to implement in a production design process for the Thai AS company.
Air velocity of nozzles, Cleanroom, Design of experiment.
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