Despite the industrial popularity of nylon 6 composites, their wear performance portrays a substantial knowledge gap on parametric importance. Consequently, this study optimizes and prioritizes the wear performance parameters of nylon 6/boron nitride composites using the Taguchi-Pareto and Taguchi-ABC methods based on 80-20 Pareto rule and the ABC analysis, using signal-to-noise ratios. From the literature information, the principal parameters considered are the %wt of reinforcement, normal load, sliding speed, and sliding distance, respectively. The results showed that the optimal parametric setting using the Taguchi-Pareto method is 4wt % of boron nitride Nanocomposite, 15 N of normal load, 100 rpm of sliding speed and 500m of sliding distance. The limitation of this study is the difficulty in deducing the most significant delta values or ranks through the parameters. This work drive towards more practically focused wear performance studies by industrial practitioners, showing critical optimization and prioritization procedures in a single study.

Although the wear performance of nylon-6/Boron Nitride (PA6/BN) composites has been studied, their concurrent optimization and prioritization are scarce in the literature. Considering this shortcoming, this paper proposes a Taguchi-Pareto-based framework incorporating a discrimination signal-to-noise ratio analysis, to enhance the wear performance of PA6/BN composites. Besides the direct factors that consider the weight percentage of particulate additives to nylon 6, sliding distance, sliding speed and normal load, the combinations of direct factors and aspect ratios of the factors were considered in eighteen cases where all four factors are considered in rotation. The novel contribution of the developed Taguchi-Pareto-oriented direct and aspect ratio (TPDA) framework based on its stepwise application to wear performance analysis is noted as follows: (1) establishment of the principal factors by contemplating their importance together with their impact levels on wear performance and (2) establishment of optimal and prioritization of the wear factors threatening the operational efficiency of the structures in which they are made up by considering their signal to noise ratios based on the 80-20 rule of Pareto analysis. The results obtained from the proposed TPDA were validated using experimental data obtained from the literature. It is thought that the application of the proposed framework to the experimental data aids the composite engineer in making prudent fabrication decisions, assisting them to successfully maintain how levels for the fabricated composites while in operation.