<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mali, Chaitanya R.</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Amol A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Selection of tubular reactor configurations for a confined space: analysis of space-fillingness and performance</style></title><secondary-title><style face="normal" font="default" size="100%">Industrial &amp; Engineering Chemistry Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">MAR</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">65</style></volume><pages><style face="normal" font="default" size="100%">5239-5258</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Introducing bends or coiling in a tubular reactor promotes Dean vortices, which enhance radial mixing as well as heat and mass transfer. Exploring compact geometries that strengthen curvature-induced mixing is highly beneficial for continuous flow synthesis across scales. Despite their advantages, selecting an appropriate configuration of tubular reactors in a given space (jacket) requires careful evaluation of multiple factors, including energy efficiency, dispersion behavior, heat transfer performance, and spatial compactness. This paper presents a holistic framework for selecting an optimal configuration of a tubular reactor within a confinement (jacket) based on energy efficiency, dispersion behavior, heat transfer, and spatial compactness. Ten distinct configurations are explored based on geometrical characterization and single-phase Computational Fluid Dynamics (CFD) simulations. Each configuration is evaluated for flow patterns, pressure drop, residence time distribution (RTD), and jacket-side flow distribution. The results demonstrate that geometric design, especially the number and arrangement of bends, has a pronounced impact on reactor performance, influencing both compactness and dispersion characteristics. A combined qualitative-quantitative assessment is employed, utilizing radar plots (which capture key simulation and geometric data) and a K-means clustering unsupervised learning algorithm, along with a derived performance index (Pi), to rank configurations based on their geometric attributes. This approach forms a robust basis for selection and design guidance. The study indicates that while individual designs offer specific advantages, coil geometries such as multihelix, spiral, and elongated spirals deliver optimal overall performance.&lt;/p&gt;
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	Foreign&lt;/p&gt;
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	4.0&lt;/p&gt;
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