Contact: Yuanhui Zhang, Associate Professor 332C W Pennsylvania Ave, Urbana, IL 61801

1. Characterization of Airflow in Aircraft CabinsYuanhui Zhang, Yigang Sun, Aijun Wang, Steve Ford Department of Agricultural Engineering, University of Illinois at Urbana-Champaign Sponsored by: The Centers for Disease Control (CDC), and The Boeing Company Streak Illuminated airspace Camera 1 Camera 2 Synchronizer DAQ System Image 2 Image 1 Extraction of 3-D Velocity Paired images is analyzed using the SPIV a unique algorithm. Airflow velocity profile Q = 19.5 ACH, D0=50mm, U0 = 1.8 m/s, T0 = 24C, T = 0C. Our Approach We have developed a stereoscopic particle imaging velocimetry (SPIV) algorithm and image acquisition system. This SPIV system employs two high-resolution digital cameras to obtain two 2-D images. The third dimension out-of-plane air velocity component and the flow direction are calculated using the unique SPIV algorithm based on the two 2-D images. The flow field is illuminated with regular incandescent light and filled with neutral buoyant helium-filled bubbles to trace the flow velocities in the whole field instantaneously and quantitatively. The Challenge Airflow within aircraft cabins is a key factor affecting the comfort, disease transmission and security concerns (such as anthrax threat in air handling systems). It has been a challenge to obtain an instantaneous, whole-field and quantitative velocity profile in a large airspace so that the flow patterns can be better understood and ventilation systems can be improved. There is also an urgent need to obtain experimental data for the development and validation of computational fluid dynamic (CFD) models. Existing anemometry technologies (such as hot-wire anemometers) usually measure velocities at one point at a time, while commercially available particle imaging velocimetry (PIV) systems can not view the whole flow field. Thus, new measurement technology is needed. 1. To develop a 5-row Boeing 767-300 aircraft cabin section and the SPIV system; 2. To measure 3-dimensional air velocity in the entire Boeing 767-300 section using SPIV ; The Objectives 4.To provide experimental data sets for CFD model development. 3. To analyze the airflow patterns and ventilation effectiveness for airborne contaminant removal; and Bioenvironmental Engineering in University of Illinois at Urbana-Champaign http://www.age.uiuc.edu/bee Contact: Yuanhui Zhang, Associate Professor 332C W Pennsylvania Ave, Urbana, IL 61801 (217) 333-2693, zhang1@uiuc.edu