Comparative Analysis of Mechanical Performance and Abrasion Resistance of Fabrics for Motorcyclist Protection
Technical Textiles; Abrasion; Motorcyclists; Protection; Mechanical Resistance.
This dissertation aims to comparatively analyze the mechanical performance and abrasion resistance of two fabrics — a technical fabric used in protective jackets and a common knitted fabric — correlating laboratory results with real-world motorcycle accident scenarios. The research employed experimental methods based on national and international technical standards (ABNT, ASTM, and ISO), applying tests for mass per unit area (grammage), tensile strength, elongation, thickness, and abrasion resistance using the Martindale method. Data were statistically treated through calculations of mean, standard deviation, and coefficient of variation to ensure the accuracy and repeatability of the results. The tests revealed that the technical fabric exhibited superior values in all evaluated parameters, particularly in tensile strength (≈ 110–117 Kgf), greater thickness (≈ 0.32 mm), and abrasion resistance up to 83,000 cycles, while the common knit fabric resisted up to 28,000 cycles. These results confirm that fabrics with higher mass per unit area and density provide more effective protection against abrasion, making them more suitable for the development of Personal Protective Equipment (PPE) for motorcyclists. The study also demonstrated that fabric thickness and structural configuration directly influence energy dissipation and delay in rupture during friction — key factors in preventing injuries in fall situations. It is concluded that the use of technical textiles in motorcyclists’ clothing significantly contributes to reducing injury severity in accidents, promoting social benefits by enhancing road safety and guiding material selection for PPE design. Future studies are recommended to expand testing under dynamic conditions that simulate real falls, including varying speeds, angles, and surface types, to better correlate laboratory data with real-world scenarios. Thus, this work provides scientific and practical insights for improving protective fabrics and supporting the development of public policies aimed at motorcycle rider safety.