TESTING AND MEASURING Optimization of Frictional Performance Using Taguchi Approach: A Case Study on Rubber Floor Materials Under Dry Sliding Conditions

The current investigation employs the Taguchi method to optimize the coefficient of friction (CoF) in rubber-based objects under dry sliding settings. Applying an L16 orthogonal array constructed with Minitab software, four input variables, rubber material type, grooves, normal load, and sliding velocity, were analyzed across four different levels. The CoF reaction was explored using the signal-to-noise (S/N) ratio, resulting in the formulation of a mathematical model.

Slippery flooring grows the potential of slips, trips, and falls (STFs), consequently raising the danger of catastrophic injuries or fatalities. Despite the innumer able preventable incidents that transpire annually, these are particularly widespread in domestic settings, public spaces, and workplaces. Statistics reveal that slips, trips, and falls (STFs) account for approximately 37% of all workplace accidents, underlining the urgent requirement for effective preventative interventions [1].