
Rough, damaged, and distorted post-consumer natural and synthetic polymers cause wear and damage to textile machinery parts, presenting a major obstacle to the quality of recycled products. In this research, TiAlN coatings were used to measure the coefficient of friction (COF) for tribological properties. The scanning electron microscope (SEM) studies of cotton textiles revealed surface damage, distortions, and loose fibres produced on the fabric surface. SEM morphology of TiAlN coatings was found smooth and uniform. Additionally, Contour GT-K 3D optical microscope and mechanical profilometer (Mahr Perthometer) were used for coating surface analysis. The average coating surface roughness parameters were Rmax (0.30 µm), Rz (0.26 µm), and Rp (0.17 µm). The microhardness value was 35 GPa on the HV scale. The lower surface roughness and higher hardness values are an indication of reasonable quality and performance of textile fabrics during recycling. The dynamic COF values were obtained from 0.47 to 0.30 in warp and from 0.35 to 0.23 in weft directions. Higher COF values occurred in the warp direction due to lower thread densities, rough surface, preferred fibre orientation, randomly oriented fibres, and a plain-woven structure. Based on the COF values, permanent deformation, and morphology evaluations, TiAlN coatings could be used optimistically for surface modification of shredding, cutting, and textile machinery parts. The TiAlN coatings applications in industries could also enhance the quality and performance of recycled textile products.
wear, Science, Q, coatings, textile fabrics, fabric friction, fabric tribology, textile machinery.
wear, Science, Q, coatings, textile fabrics, fabric friction, fabric tribology, textile machinery.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
