Search Results (4)

Near the 11–12 locks of the Canal de Castilla, there once stood a paper mill built in the 18th century and dismantled in 1983. Despite the scarce physical remains, the absence of original plans, and the limited availability of data, this research aims to reconstruct its initial layout, characteristics, and operation. To achieve this, an analytical–synthetic method has been followed: in the analysis phase, multiple sources and materials are thoroughly examined from various perspectives, while in the synthesis phase, drawing is employed as a means of reflection, since any hypothesis about this factory must be validated through sufficiently precise graphical representations. The most relevant result is the complete drafting of the factory’s plans, including its machinery, as well as the clarification of its production system. The main conclusion suggests that, although based on the mechanisms and equipment of traditional paper mills, this manufacturing facility sought to be innovative and exemplary in its time. Its dispersed typology was designed to improve and dignify working conditions for employees, while its internal organization optimized the paper production process and increased manufacturing capacity. Full article

This study addresses the sustainable revitalization of the Canal de Castilla through a community-focused approach and an assessment via fuzzy logic of the implementation of hydroelectric turbines. The canal, built in the 18th century, played a key role in transportation and territorial unification, but the deterioration of the locks has limited its functionality. This research use surveys as tools to assess the impact of the Canal de Castilla in different areas. With more than 85% of the inhabitants analyzed supporting measures in the areas of building and research at a high or very high level, and specifically proposing sustainable improvements that respect historical heritage, the installation of axial turbines in the cross channels is proposed as an efficient solution, highlighting their adaptability and low environmental impact. The careful selection of turbines, considering the historic nature of the canal, is supported with a detailed analysis using fuzzy logic. The innovation lies in the synergistic integration of community perceptions and technical analysis, providing a balanced foundation for decision making in heritage revitalization projects. This proactive approach seeks not only to identify challenges but also to formulate solutions, committing to sustainable development and active community participation. Full article

This work aims to apply a systematic methodology to the analysis and graphical recovery of the “artefact” of the first lock of the Canal de Castilla (“the forge of Alar del Rey”) located in the Canal de Castilla as it passes through the province of Palencia (Spain). The canal, a great engineering work that began in the 18th century, was declared an asset of cultural interest (BIC, for its acronym in Spanish) in 1991 and was included in the National Plan for Industrial Heritage. To analyze and to obtain graphic reconstruction proposals, six main activities were developed, following three phases (study of primary and complementary technological and historical sources, fieldwork, and digital reconstruction). The reconstruction proposals were evaluated using three criteria: artefact data, the number of similar artefacts, and the performance. The weights of these three criteria were obtained using the Best-Worst Method (BWM), and the reconstruction proposals were classified using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under uncertain conditions. AutoCAD was used to obtain detailed artefact geometric documentation (plans and detail drawings of each element). The work carried out on the artefact has allowed the reconstruction of the missing machinery and its factory, establishing a proposal consistent with the technological solutions of the end of the eighteenth century as well as with the ironworks studied and with the documentary sources consulted, recovering the memory of an artefact that is about to be lost. Full article

This article addresses the identification of the nonlinear dynamics of the main pool of a laboratory hydraulic canal installed in the University of Castilla La Mancha. A new dynamic model has been developed by taking into account the measurement errors caused by the different parts of our experimental setup: (a) the nonlinearity associated to the input signal, which is caused by the movements of the upstream gate, is avoided by using a nonlinear equivalent upstream gate model, (b) the nonlinearity associated to the output signal, caused by the sensor’s resolution, is avoided by using a quantization model in the identification process, and (c) the nonlinear behaviour of the canal, which is related to the working flow regime, is taken into account considering two completely different models in function of the operating regime: the free and the submerged flows. The proposed technique of identification is based on the time-domain data. An input pseudo-random binary signal (PRBS) is designed depending on the parameters of an initially estimated linear model that was obtained by using a fundamental technique of identification. Fractional and integer order plus time delay models are used to approximate the responses of the main pool of the canal in its different flow regimes. An accurate model has been obtained, which is composed of two submodels: a first order plus time delay submodel that accurately describes the dynamics of the free flow and a fractional-order plus time delay submodel that properly describes the dynamics of the submerged flow. Full article