Grant: Alliance Grants
Ryerson University
$50,000.00
Engineering COVID-19 Fashion - Designing the Most Effective Face Masks for the Canadian Fashion Industry_x000d_ _x000d_
EF 2020-21
Résumé
The COVID-19 pandemic continues to grow rapidly with over 5 million cases and 325,000 mortalities. Currently no effective remedy exists for SARS-CoV-2 infections (the virus that causes COVID-19), and according to the World Health Organization, a COVID-19 vaccine has a 12-18 months horizon. As our society slowly reopens, mask wearing will likely become ubiquitous, if not legally required, as it is in other countries now.
While the apparel industry is one of the hardest hit sectors amid mall and production closures due to COVID-19, the face mask market has exploded. The global fashion face mask market is expected to grow from $140 million today to $3.4 billion by 2027. Major fashion brands are retooling their production lines to gain a market share in this growing industry. Effective face mask designs must be able to mitigate airborne disease transmission; however, the fashion industry is not well equipped to assess mask efficacy. There is an urgent need for detailed knowledge on optimal mask material and designs that are most effective in preventing SARS-CoV-2 transmission.
This project will develop a comprehensive experimental and numerical framework that can be used to analyze respiratory fluid flow through and around fabric. This work will aid the Canadian apparel industry assess the efficacy of different mask designs and materials to best prevent transmission of COVID-19. This project is anticipated to result in several added benefits such as bolstering the workforce, alleviating pressure on the surgical/medical mask market, and increasing the use of mask materials made in Canada.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
554384-2020
Name nom
Karatas, Ahmet
Department département
Aerospace Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
1701
Research subject group en
Design and manufacturing
Research subject group fr
Conception et fabrication
Research subject en
Engineering design
Research subject fr
Conception technique
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Engineering COVID-19 Fashion - Designing the Most Effective Face Masks for the Canadian Fashion Industry_x000d_
_x000d_
Keyword
NSERC
Application summary
The COVID-19 pandemic continues to grow rapidly with over 5 million cases and 325,000 mortalities. Currently no effective remedy exists for SARS-CoV-2 infections (the virus that causes COVID-19), and according to the World Health Organization, a COVID-19 vaccine has a 12-18 months horizon. As our society slowly reopens, mask wearing will likely become ubiquitous, if not legally required, as it is in other countries now.
While the apparel industry is one of the hardest hit sectors amid mall and production closures due to COVID-19, the face mask market has exploded. The global fashion face mask market is expected to grow from $140 million today to $3.4 billion by 2027. Major fashion brands are retooling their production lines to gain a market share in this growing industry. Effective face mask designs must be able to mitigate airborne disease transmission; however, the fashion industry is not well equipped to assess mask efficacy. There is an urgent need for detailed knowledge on optimal mask material and designs that are most effective in preventing SARS-CoV-2 transmission.
This project will develop a comprehensive experimental and numerical framework that can be used to analyze respiratory fluid flow through and around fabric. This work will aid the Canadian apparel industry assess the efficacy of different mask designs and materials to best prevent transmission of COVID-19. This project is anticipated to result in several added benefits such as bolstering the workforce, alleviating pressure on the surgical/medical mask market, and increasing the use of mask materials made in Canada.