DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN
Operating room hygiene is important to learn because of surgical site infection (SSI) that endangers patients. One way to maintain the cleanliness of the operating room is by regulating the operating room ventilation system. Although the Laminar Airflow (LAF) system has been standardized in vario...
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id-itb.:711492023-01-27T14:06:56ZDEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN Rifki Amali, Olym Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project Airflow pattern, operating room miniature, Laminar Airflow, particle image velocimetry INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/71149 Operating room hygiene is important to learn because of surgical site infection (SSI) that endangers patients. One way to maintain the cleanliness of the operating room is by regulating the operating room ventilation system. Although the Laminar Airflow (LAF) system has been standardized in various hospitals, the diverse operating conditions still cause debate on the effectiveness of this system to prevent SSIs. To resolve this debate, the airflow pattern of the operating room has been studied by previous studies either through direct experiments in the operating room or computational simulations. However, direct measurement in the operating room is concerned that it might contaminate the room itself. Meanwhile, computational simulation that can be performed on the operating room model more freely is not computationally easy to perform under dynamic flow conditions and it still requires a validation process from direct measurement results. Therefore, this research was aimed to develop a middle ground between these two limitations by developing a miniaturized operating room to obtain airflow pattern data. An operating room with a size of ???? ???? ???? ???? ???? m3 with a LAF system and a maximum air exchange of 25 times per hour (ACH) was modeled under fixed Reynolds conditions using 180 m3/h fan. Next, the miniature airflow was recorded with a 25 frames per second (fps) DSLR camera to obtain flow visualization and with 240 fps and 960 fps smartphone slow motion cameras to measure the flow velocity by using particle image velocimetry (PIV) method. The 240 fps and 960 fps cameras can measure air velocities up to around 0.60 m/s and 2.01 m/s respectively. Thus, the same operating room model can be fully observed with a scale of 1:2.5 with the 240 fps camera and a scale of 1:8.4 with the 960 fps camera. text |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Rifki Amali, Olym DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN |
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Operating room hygiene is important to learn because of surgical site infection
(SSI) that endangers patients. One way to maintain the cleanliness of the operating
room is by regulating the operating room ventilation system. Although the Laminar
Airflow (LAF) system has been standardized in various hospitals, the diverse
operating conditions still cause debate on the effectiveness of this system to prevent
SSIs. To resolve this debate, the airflow pattern of the operating room has been
studied by previous studies either through direct experiments in the operating room
or computational simulations. However, direct measurement in the operating room
is concerned that it might contaminate the room itself. Meanwhile, computational
simulation that can be performed on the operating room model more freely is not
computationally easy to perform under dynamic flow conditions and it still requires
a validation process from direct measurement results. Therefore, this research was
aimed to develop a middle ground between these two limitations by developing a
miniaturized operating room to obtain airflow pattern data. An operating room
with a size of ???? ???? ???? ???? ???? m3 with a LAF system and a maximum air exchange of 25
times per hour (ACH) was modeled under fixed Reynolds conditions using 180 m3/h
fan. Next, the miniature airflow was recorded with a 25 frames per second (fps)
DSLR camera to obtain flow visualization and with 240 fps and 960 fps smartphone
slow motion cameras to measure the flow velocity by using particle image
velocimetry (PIV) method. The 240 fps and 960 fps cameras can measure air
velocities up to around 0.60 m/s and 2.01 m/s respectively. Thus, the same operating
room model can be fully observed with a scale of 1:2.5 with the 240 fps camera and
a scale of 1:8.4 with the 960 fps camera. |
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Final Project |
author |
Rifki Amali, Olym |
author_facet |
Rifki Amali, Olym |
author_sort |
Rifki Amali, Olym |
title |
DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN |
title_short |
DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN |
title_full |
DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN |
title_fullStr |
DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN |
title_full_unstemmed |
DEVELOPMENT OF PARTICLE IMAGE VELOCIMETRY METHOD IN OPERATING ROOM MINIATURE AS AN EVALUATOR OF OPERATING ROOM AIRFLOW PATTERN |
title_sort |
development of particle image velocimetry method in operating room miniature as an evaluator of operating room airflow pattern |
url |
https://digilib.itb.ac.id/gdl/view/71149 |
_version_ |
1822006512960143360 |