Volume 14, Issue 4 (9-2017)                   ioh 2017, 14(4): 34-25 | Back to browse issues page

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Damiri Z, Yarahmadi R, Rashidi M. Validation of model simulations of air flow in cleanrooms (Case Study in the pharmaceutical industry at 2015). ioh. 2017; 14 (4) :34-25
URL: http://ioh.iums.ac.ir/article-1-1760-en.html
Air Pollution Research Center, Iran University of Medical Sciences, Tehran, Iran , Yarahmadi.r@iums.ac.ir
Abstract:   (2813 Views)

Background and aims: The clean room is under the control of concentrations of airborne particles play an important role in the production of drugs and high-tech products. Clean air flow pattern in the room is one of the important parameters of particle concentration and distribution of air pollution and need to be accurately modeled. So in this study was to evaluate and simulate the flow pattern of clean air in the room was investigated.

Methods: This study used an experimental study that was conducted at 2015 in the pharmaceutical industry .The methodology used in this study was to determine the air flow pattern in cleanroom. In this study, 3 clean room with 3 cleanliness classes B, C and D were studied. Then simulate the flow pattern, determine the velocity vectors in the cleanroom is cleared by CFD techniques.

Results: The findings of this study showed that air flow rate measured in experimental models with air flow rates predicted by FLUENT software under the same conditions and at the same spacing is very close to each other .Also airflow velocity contours for 3 the cleanliness class were determined   .In addition, the results of measurement of particle concentration in clean rooms shows the mean concentration of particulate contamination in three classes cleanliness was below the standard limit.

Conclusion: This study showed that RNG K-ℇ turbulence model the most appropriate model to simulate air flow pattern in the room is clean. There is also equipment and a tool in a clean room on the pattern of air flow and ultimately affects the particle removal efficiency in the clean room.

Full-Text [PDF 897 kb]   (1219 Downloads)    
Type of Study: Research | Subject: Air pollution monitoring
Received: 2016/04/8 | Accepted: 2017/03/2 | Published: 2017/12/3

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