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Tanaji Kadam (BTRA, Mumbai)
Textile wet processing, i.e., desizing and bleaching, dyeing, printing, and finishing, is one of the most complex and resourceconsuming stages in textile production. The processes involve multiple parameters, such as temperature, rate of rise in temperature, pH, chemical concentration, bath liquor ratio, and time, which must be controlled precisely to achieve consistent and desired product quality.Traditional process control relies largely on manual supervision and conventional automation systems, often leading to process variations, increased resource consumption, and inconsistent quality. Artificial Intelligence (AI) offers significant opportunities to enhance process control by enabling predictive modelling, real-time monitoring, and intelligent decision support.
Sandeep Jape, Tejaswini Ghadyale, Poonam Phagare, Chandrakala Madichetty (BTRA, Mumbai)
Instrumental optics and slit configurations play a major role in defining the quality of powder X-ray diffraction (XRD) data. In this study, the effect of divergence slit and Antiscatter Slit variation on XRD pattern was systematically investigated using a PANalytical Empyrean X-ray diffractometer equipped with Bragg-Brentano HD (BBHD) optics and fixed divergence slit (FDS) optics, using zinc oxide (ZnO) as an experimental sample. Divergence and anti-scatter slits were varied, while all other instrumental parameters, including scan conditions,were kept constant, enabling a controlled and reproducible methodological comparison.
Falguni Gudekar (BTRA, Mumbai)
Ultra-high molecular weight polyethylene (UHMWPE) remains a flagship material among high-performance polyolefins,yet its future is increasingly governed by the competing demands of large-scale manufacturability and environmental responsibility. This review surveys recent advances in UHMWPE fiber processing with an emphasis on the transition from conventional batch dissolution to continuous, high-throughput twin-screw extrusion (TSE) routes for gel-spinning dopes.
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