https://hdl.handle.net/10259/8984 2026-05-18T05:44:03Z https://hdl.handle.net/10259/11627 Polymer extrusion processes in tire manufacturing: a systematic review and bibliometric analysis Gorakifard, Mohsen; Sierra García, Jesús Enrique; Kian Far, Ehsan Tire extrusion is a thermo-mechanical process in advanced tire manufacturing in which compound rheology, die/tooling design, and operating history jointly govern dimensional accuracy, stability, scrap, and downstream performance. This study provides a systematic review and bibliometric analysis of tire-extrusion research published between 2000 and early 2025 using an integrated Scopus–Web of Science corpus enriched with OpenAlex, CrossRef, and OpenCitations, complemented by automated keyword completion (YAKE) and cited-reference completion. We map production and collaboration patterns and reveal conceptual and intellectual structures using co-word/thematic analysis, thematic evolution, co-citation networks, and Reference Publication Year Spectroscopy (RPYS). To mitigate terminology-driven topic drift and enable engineering-centred interpretation, we introduce a technology-depth sensitivity (scope-control) layer that separates a broad tire-related corpus from nested, technology-explicit extrusion cores and organizes evidence through non-exclusive tagging by engineering degrees of freedom (rheology/constitutive behaviour; tooling/flow/die engineering; extrusion hardware/process window; simulation/CAE; monitoring/control). Results show that the broad corpus is dominated by materials/circular-economy themes, whereas the technology-explicit cores reveal a distinct process-engineering and CAE stream centred on die design, flow balancing, constitutive modelling, and simulation-supported optimisation. Finally, we translate these findings into actionable industrial levers and KPI-level implications for tire-profile extrusion/co-extrusion, including gauge stability, interface integrity, thermal hotspots/scorch risk, and reduced die-qualification time. 2026-04-01T00:00:00Z https://hdl.handle.net/10259/11615 Improving Safety and Efficiency of Industrial Vehicles by Bio‐Inspired Algorithms Bayona Blanco, Eduardo; Sierra García, Jesús Enrique; Santos Peñas, Matilde In the context of industrial automation, optimising automated guided vehicle (AGV) trajectories is crucial for enhancing op-erational efficiency and safety. They must travel in crowded work areas and cross narrow corridors with strict safety and timerequirements. Bio-inspired optimization algorithms have emerged as a promising approach to deal with complex optimiza-tion scenarios. Thus, this paper explores the ability of three novel bio-inspired algorithms: the Bat Algorithm (BA), the WhaleOptimization Algorithm (WOA) and the Gazelle Optimization Algorithm (GOA); to optimise the AGV path planning in complexenvironments. To do it, a new optimization strategy is described: the AGV trajectory is based on clothoid curves and a specialisedpiece-wise fitness function which prioritises safety and efficiency is designed. Simulation experiments were conducted acrossdifferent occupancy maps to evaluate the performance of each algorithm. WOA demonstrates faster optimization providingsuitable safety solutions 4 times faster than GOA. Meanwhile, GOA gives solutions with better safety metrics but demands morecomputational time. The study highlights the potential of bio-inspired approaches for AGV trajectory optimisation and suggestsavenues for future research, including hybrid algorithm development. 2025-03-01T00:00:00Z https://hdl.handle.net/10259/11457 High-Pressure Volumetric Properties of the Binary Mixtures (Di-isopropyl Ether + n-Heptane or Methylcyclohexane) Dakkach, Mohamed; Rubio Pérez, Gabriel; Alaoui, Fatima E. M.; Muñoz Rujas, Natalia; Aguilar Romero, Fernando; Montero García, Eduardo This work reports the experimental density data for the binary mixtures of n-heptane or methylcyclohexane + di-isopropyl ether, measured over the full composition range between 0.1 and 140 MPa, and for temperatures from 298.15 to 393.15 K, by means of a vibrating tube densitometer calibrated with an uncertainty of 0.0007 g·cm–3. Then, the experimental density data were fitted using a Tait-like equation to derive mixing thermodynamic coefficients, including the isobaric expansivity and isothermal compressibility. Finally, the excess volumes of the abovementioned binary mixtures were calculated, and their nonideal behavior was investigated. 2020-10-01T00:00:00Z https://hdl.handle.net/10259/11444 Isobaric Vapor–Liquid Equilibria at 50.0, 101.3, and 200.0 kPa. Density and Speed of Sound at 101.3 kPa and 298.15 K of Binary Mixtures HFE-7100 + 2-Propanol Muñoz Rujas, Natalia; Rubio Pérez, Gabriel; Montero García, Eduardo; Aguilar Romero, Fernando Isobaric vapor–liquid equilibria (VLE) at 50.0, 101.3, and 200.0 kPa, have been measured for the binary system methyl nonafluorobutyl ether (x1) HFE-7100 + (1 – x1) 2-propanol. Thermodynamic consistency was checked by applying the Wisniak point to point and area tests, as well as the Fredenslund point to the point test. Vapor–liquid equilibrium data have been correlated by means of Wilson, NRTL, and UNIQUAC equations. The three binary systems show positive azeotropes at every measured pressure. Densities and speeds of sound were determined experimentally at 101.3 kPa and at 298.15 K. Excess volumes, isentropic compressibilities, and deviations in isentropic compressibility were calculated from experimental data. The Redlich–Kister polynomial was used to correlate excess properties upon mixing, showing a good agreement between experimental and calculated values. 2020-05-01T00:00:00Z