OTHER RESEARCHER
Years Employed: 2018 -
2019
Arnab Chanda
Postdoctoral Associate
Postdoctoral Associate
After HMBL
Assistant Professor, Biomedical Engineering, Indian Institute of Technology (IIT), Delhi
Background: To prevent slip and fall events at the workplace, mechanical slip testing is conducted on shoes. Such experiments may involve redundant testing across floorings and contaminant conditions, causing wasted time and effort.
Purpose: Quantify the correlations between shoe traction across different contaminant-flooring conditions to reduce redundant slip-testing efforts.
Methods: The available coefficient-of-friction (ACOF) was quantified for 17 shoes across five floorings and three contaminant conditions. Redundant testing conditions were identified when the shoe ACOF values for one floor-contaminant condition were highly correlated with a second floor-contaminant condition.
Results: High correlations were observed among quarry floorings across different contaminants and among vinyl (composite tile) floorings with the same contaminant. However, vinyl floorings exhibited low correlations with quarry floorings. Low correlations were also observed across contaminants within vinyl tiles.
Conclusions: This study was able to determine the generalizability of traction performance of shoes across vinyl and quarry floorings. This information is anticipated to reduce redundant traction testing of shoes across vinyl and quarry floorings.
People
OTHER RESEARCHER
Years Employed: 2018 -
2019
Arnab Chanda
Postdoctoral Associate
Postdoctoral Associate
After HMBL
Assistant Professor, Biomedical Engineering, Indian Institute of Technology (IIT), Delhi
Undergraduate Student
Year Graduated: 2017
Taylor Jones
After HMBL
Thomas Jefferson University, MD
Research
We use cookies to improve your experience on our site. By using our site, you consent to cookies.
Manage your cookie preferences below:
Essential cookies enable basic functions and are necessary for the proper function of the website.
Statistics cookies collect information anonymously. This information helps us understand how visitors use our website.
Google Analytics is a powerful tool that tracks and analyzes website traffic for informed marketing decisions.
Service URL: policies.google.com (opens in a new window)