Performance Optimization of Lignocellulosic Fiber-Reinforced Brake Friction Composite Materials Using an Integrated CRITIC-CODAS-Based Decision-Making Approach

A hybrid multicriteria decision-making (MCDM) framework, namely “criteria importance through inter-criteria correlation-combinative distance-based assessment” (CRITIC-CODAS) is introduced to rank automotive brake friction composite materials based on their physical and tribological properties. The ranking analysis was performed ten material alternatives that contained varying proportions (5% 10% by weight) of hemp, ramie, pineapple, banana, Kevlar fibers. properties such as density, porosity, compressibility, coefficient, fade-recovery performance, fluctuation, cost, carbon footprint were used selection criteria. An increase in natural fiber content resulted a decrease along with an porosity compressibility. 5 wt.% showed the highest coefficient friction, while ramie fiber-based composites exhibited lowest levels fade fluctuations. wear performance containing 10 fiber, recovery. results indicate including different fibers amounts can affect evaluated CRITIC-CODAS technique select optimal composite. findings this approach revealed adding banana give combination sensitivity several weight exchange scenarios see stability results. Using Spearman’s correlation outcomes from other MCDM techniques, suggested framework further verified, demonstrating its effectiveness stability.