Abstract

This research brings in the advancement of sustainable, high-performance engineering solutions where catalytic surface coatings are pursued to integrate with fused deposition modeling printed sustainable materials. The work is centered on optimization of catalytic coatings for higher efficiency and durability, which is innovatively linked with the advance chemical engineering. In probing the influence of different catalytic materials and deposition methods on FDM-printed substrates, we applied advanced surface functionalization, nano-engineering, and computational modeling techniques. Among other elements, this research approach utilized ANN with PSO algorithms in optimizing the parametric setting that best yielded high catalytic performance. The results obtained show considerable improvements in catalytic activity and the coating's lifetime, promising such applications in energy, environmental, and chemical industries. This study not only draws attention to the potential of FDM-printed sustainable materials but also demonstrates the potential of chemical engineering innovations for optimizing catalytic surface coatings toward the development of high-performance, sustainable technologies.