Literature DB >> 18175019

Influence of cabin conditions on placement and response of contaminant detection sensors in a commercial aircraft.

Sagnik Mazumdar1, Qingyan Chen.   

Abstract

Potential causalities due to airborne disease transmission and risk of chem-bio terrorism in commercial airliner cabins can be reduced by fast responses. Fast responses are only possible by using sensors at appropriate locations in the cabins. Cost, size and weight factors restrict the number of sensors that could be installed inside a cabin. Since release locations and seating patterns of passengers can impact airborne contaminant transports, this study first addressed this impact by using a validated computational fluid dynamics (CFD) program in a four-row mockup of twin-aisle airliner cabin. It was observed that occupancy patterns and release locations have little influence on longitudinal contaminant transports though localized variations of contaminant concentrations may exist. The results show that response time of the sensors is considerably reduced with the increase in number of sensors. If only a single sensor is available across a cabin cross-section then it should be placed at the middle of the ceiling. A cabin model of a fully occupied twin-aisle airliner with 210 seats was also build to study the diverse contaminant distribution trends along cabin length. The results reveal that seating arrangements can make cross-sectional airflow pattern considerably asymmetrical. Similar airflow patterns make the longitudinal contaminant transport in the business and economy classes alike. The presence of galleys greatly affected the longitudinal transport of contaminants in a particular cabin section. The effects due to galleys were less significant if a multipoint sampling system was used. The multipoint sampling system can also reduce the number of sensors required in a cabin.

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Year:  2007        PMID: 18175019     DOI: 10.1039/b713187a

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  5 in total

1.  Computational fluid dynamics modeling of transport and deposition of pesticides in an aircraft cabin.

Authors:  Sastry S Isukapalli; Sagnik Mazumdar; Pradeep George; Binnian Wei; Byron Jones; Clifford P Weisel
Journal:  Atmos Environ (1994)       Date:  2013-04       Impact factor: 4.798

2.  An analysis on the detection of biological contaminants aboard aircraft.

Authors:  Grace M Hwang; Anthony A DiCarlo; Gene C Lin
Journal:  PLoS One       Date:  2011-01-17       Impact factor: 3.240

3.  U.S. airport entry screening in response to pandemic influenza: modeling and analysis.

Authors:  John D Malone; Robert Brigantic; George A Muller; Ashok Gadgil; Woody Delp; Benjamin H McMahon; Russell Lee; Jim Kulesz; F Matthew Mihelic
Journal:  Travel Med Infect Dis       Date:  2009-04-14       Impact factor: 6.211

4.  State-of-the-art methods for studying air distributions in commercial airliner cabins.

Authors:  Wei Liu; Sagnik Mazumdar; Zhao Zhang; Stephane B Poussou; Junjie Liu; Chao-Hsin Lin; Qingyan Chen
Journal:  Build Environ       Date:  2011-07-18       Impact factor: 6.456

5.  A methodology for optimal placement of sensors in enclosed environments: A dynamical systems approach.

Authors:  Anthony D Fontanini; Umesh Vaidya; Baskar Ganapathysubramanian
Journal:  Build Environ       Date:  2016-02-09       Impact factor: 6.456

  5 in total

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