Abstract
The previous shape of the suction head (SH) employed in a cleaning process in a factory had a low performance, removed fewer particles, and generated an annoying noise. Therefore, new shapes of SH have been proposed to solve the issues and the cleaning performance was investigated by the Shear Stress Transport (SST) k-ω turbulence, Discrete Phase (DP), Large Eddy Simulation (LES), and Ffowcs Williams and Hawkings (FW–H) models in a transient state of computational fluid dynamics (CFD). The SST k-ω and DP models were applied to determine the airflow, suspension velocity, cleaning region, and particle trace. In addition, the LES and FW–H models were used to evaluate the noise, sound pressure level, and frequency generated from the proposed shapes. All simulation results were validated with the air velocity and noise measurements and were analyzed to find a suitable shape. The simulation and experimental results revealed that the shapes of the SH affected the cleaning performance and noise generation. The higher the air velocity, the higher the noise generation. The suitable shape delivered a 4.37% better particle removing performance and 11.1 dB less noise generation than the previous shape. The outcomes of this research are the suitable shape of the SH and the research methodology which enabled the application of both CFD and experiments to solve the issue to help enhance the efficiency of the cleaning process in an actual factory.
Highlights
From the calculation based on the actual conditions at the factory, we found that the Reynolds numbers (Re) were between 5 × 103 –2 × 105, which matched the Stress Transport (SST) k-ω turbulence model
From the field measurement at the facthe factory, we found that the splay angle of 30◦ pressure outside the suction head (SH) was 101,375 Pa, tory, we found that the splay angle of 30° pressure outside the SH was 101,375 Pa, while while the pressure inside the pipe was 91,375 Pa, a difference of 10,000 Pa
The the hot-wire anemometer was replaced a mobile phone with Decibel
Summary
The manufacturing of electric devices and components is one of the leading industries in Thailand. Major export products are hard disk drives, integrated circuits, print circuit boards, semiconductors, and electronic parts. The manufacturing of these products requires a cleaning process to control dust, dirt, skin, and microorganism particles to at least ISO6 of US FED STD 209E cleanroom [1,2], since the attachment of the mentioned particles can cause particle contamination issues in the electronic circuitry causing the products to malfunction. Particle contamination can occur for two reasons: the manufacturing process and the operators’ activity; to avoid the issues, the products must be manufactured in a clean room with a well-designed ventilation system and a cleaning process
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