Persona:
Sebastián Pérez, Miguel Ángel

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msebastian@ind.uned.es
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0000-0003-3463-3255
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Sebastián Pérez
Nombre de pila
Miguel Ángel
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2014 - 201962020 - 20259
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Mostrando 1 - 10 de 15
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    Computational design methodology for additive manufacturing to enhance customised products and process management efficiency
    (Elsevier, 2025-05-24) García Domínguez, Amabel; Claver Gil, Juan; Camacho López, Ana María; Sebastián Pérez, Miguel Ángel
    The emergence of Additive Manufacturing (AM) provides new horizons for innovation and optimization of designs. However, the limited knowledge of Design for Additive Manufacturing (DfAM) and the constraints imposed by conventional DfAM frameworks are hindering the potential of AM. The scope of recent studies, focused on algorithmic approaches, is limited to certain aspects of the problem and does not offer a comprehensive solution to generate efficient custom designs. To overcome these limitations, the role of interdisciplinary and transversal DfAM methodologies is essential. This work presents a DfAM methodology based on computational design with a continuous dataflow for the integration of all the design phases of a knowledge-based DfAM framework in a single algorithm, from initial design stages to machine code generation, what fully exploits the potential of additive technologies in customized products. This facilitates the integration of key data relationships and connections, promoting the development of intelligent and efficient open systems. Firstly, a bibliographic review on actual knowledge-based DfAM framework is exposed. Then, the proposed methodology is detailed and discussed. Furthermore, its potential applied to customized parts with specific mechanical requirements is validated through a splint design case study. Finally, the proposed methodology advantages and limitations are discussed.
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    Optimization methodology for additive manufacturing of customized parts by fused deposition modeling (FDM). Application to a shoe heel
    (MDPI, 2020-09-17) García Domínguez, Amabel; Claver Gil, Juan; Sebastián Pérez, Miguel Ángel
    Additive manufacturing technologies offer important new manufacturing possibilities, but its potential is so big that only with the support of other technologies can it really be exploited. In that sense, parametric design and design optimization tools appear as two appropriate complements for additive manufacturing. Synergies existing between these three technologies allow for integrated approaches to the design of customized and optimized products. While additive manufacturing makes it possible to materialize overly complex geometries, parametric design allows designs to be adapted to custom characteristics and optimization helps to choose the best solution according to the objectives. This work represents an application development of a previous work published in Polymers which exposed the general structure, operation and opportunities of a methodology that integrates these three technologies by using visual programming with Grasshopper. In this work, the different stages of the methodology and the way in which each one modifies the final design are exposed in detail, applying it to a case study: the design of a shoe heel for FDM—an interesting example both from the perspectives of ergonomic and mass customization. Programming, operation and results are exposed in detail showing the complexity, usefulness and potential of the methodology, with the aim of helping other researchers to develop proposals in this line.
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    Considerations on the Applicability of Test Methods for Mechanical Characterization of Materials Manufactured by FDM
    (MDPI, 2019-12-19) García Domínguez, Amabel; Claver Gil, Juan; Camacho López, Ana María; Sebastián Pérez, Miguel Ángel
    The lack of specific standards for characterization of materials manufactured by Fused Deposition Modelling (FDM) makes the assessment of the applicability of the test methods available and the analysis of their limitations necessary; depending on the definition of the most appropriate specimens on the kind of part we want to produce or the purpose of the data we want to obtain from the tests. In this work, the Spanish standard UNE 116005:2012 and international standard ASTM D638–14:2014 have been used to characterize mechanically FDM samples with solid infill considering two build orientations. Tests performed according to the specific standard for additive manufacturing UNE 116005:2012 present a much better repeatability than the ones according to the general test standard ASTM D638–14, which makes the standard UNE more appropriate for comparison of different materials. Orientation on-edge provides higher strength to the parts obtained by FDM, which is coherent with the arrangement of the filaments in each layer for each orientation. Comparison with non-solid specimens shows that the increase of strength due to the infill is not in the same proportion to the percentage of infill. The values of strain to break for the samples with solid infill presents a much higher deformation before fracture
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    Control of Laser Scanner Trilateration Networks for Accurate Georeferencing of Caves: Application to El Castillo Cave (Spain)
    (MDPI, 2022-12-07) Bayarri Cayón, Vicente; Castillo, Elena; Ripoll López, Sergio; Sebastián Pérez, Miguel Ángel; https://orcid.org/0000-0002-3656-7995
    There is a growing demand for measurements of natural and built elements, which require quantifiable accuracy and reliability, within various fields of application. Measurements from 3D Terrestrial Laser Scanner come in a point cloud, and different types of surfaces such as spheres or planes can be modelled. Due to the occlusions and/or limited field of view, it is seldom possible to survey a complete feature from one location, and information has to be acquired from multiple points of view and later co-registered and geo-referenced to obtain a consistent coordinate system. The aim of this paper is not to match point clouds, but to show a methodology to adjust, following the traditional topo-geodetic methods, 3DTLS data by modelling references such as calibrated spheres and checker-boards to generate a 3D trilateration network from them to derive accuracy and reliability measurements and post-adjustment statistical analysis. The method tries to find the function that best fits the measured data, taking into account not only that the measurements made in the field are not perfect, but that each one of them has a different deviation depending on the adjustment of each reference, so they have to be weighted accordingly.
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    Proposals for the optimization of parts for additive manufacturing
    (Publicaciones DYNA, 2018-05-01) García Domínguez, Amabel; Claver Gil, Juan; Sebastián Pérez, Miguel Ángel
    Additive manufacturing allows greater freedom and new possibilities for designers. Thus, at the manufacturing stage, additive manufacturing has very few geometrical limitations in comparision with traditional manufacturing process. In that context, the optimization of the designs grows in importance. Both topology and multiobjective optimization are fields of great interest as links between the Computer-Aided Design of pieces and the new additive manutacturing techonologies. But these kind of approaches have problems related to the non continuous work flow during the optimization process. This work exposes an initial aproximation to topology and multi-objective optimization of pieces obtained by 3D printing by using the solvers included on the software Grasshopper, which work through structures designed by graphic computer programming. Then, 3D models of the pieces are analyzed in order to determinate the resistance and service behaviour of the optimized designs, and the pieces are obtained by 3D printing in order to check their printability.
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    Improved Application of Hyperspectral Analysis to Rock Art Panels from El Castillo Cave (Spain)
    (MDPI, 2021-01-01) Bayarri Cayón, Vicente; Castillo, Elena; Ripoll López, Sergio; Sebastián Pérez, Miguel Ángel
    Rock art is one of the most fragile and relevant cultural phenomena in world history, carried out in shelters or the walls and ceilings of caves with mineral and organic substances. The fact it has been preserved until now can be considered as fortunate since both anthropogenic and natural factors can cause its disappearance or deterioration. This is the reason why rock art needs special conservation and protection measures. The emergence of digital technologies has made a wide range of tools and programs available to the community for a more comprehensive documentation of rock art in both 2D and 3D. This paper shows a workflow that makes use of visible and near-infrared hyperspectral technology to manage, monitor and preserve this appreciated cultural heritage. Hyperspectral imaging is proven to be an efficient tool for the recognition of figures, coloring matter, and state of conservation of such valuable art.
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    Multicriteria Decision Tool for Sustainable Reuse of Industrial Heritage into Its Urban and Social Environment. Case Studies
    (MDPI, 2020-09-10) Claver Gil, Juan; García Domínguez, Amabel; Sebastián Pérez, Miguel Ángel
    Most of industrial heritage assets need new activities to ensure their survival. In addition, the collection of assets is very broad, many of their locations have now become central and are targets for speculation, and the nature of these sites displays great specialization. Consequently, processes for reusing these assets are necessary to conserve them, but they risk destroying features whose value has been inadequately identified. This work faces this multicriteria problem by adapting the Analytic Hierarchy Process (AHP) to create two independent criteria structures, one for heritage valuation and another for analyzing the spatial compatibility with new uses, and then connecting them considering the relations between criteria of both structures and the relevance of the heritage aspects involved. All this to select those activities that cause minimal harm to the heritage value to be conserved. This work analyses three case studies to evaluate the performance of a tool based on an adaptation of AHP. The results are exposed and some application guidelines are provided, since doubts in the way to applying and interpreting the criteria are in practice a common problem of this type of approaches and that is rarely addressed. Thus, this work shows the potential of the proposed tool as a resource for sustainable urban development strategies.
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    Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach
    (MDPI, 2020-09-02) García Domínguez, Amabel; Claver Gil, Juan; Sebastián Pérez, Miguel Ángel
    The use of current computer tools in both manufacturing and design stages breaks with the traditional conception of productive process, including successive stages of projection, representation, and manufacturing. Designs can be programmed as problems to be solved by using computational tools based on complex algorithms to optimize and produce more effective solutions. Additivemanufacturing technologies enhance these possibilities by providing great geometric freedom to the materialization phase. This work presents a design methodology for the optimization of parts produced by additive manufacturing and explores the synergies between additive manufacturing, parametric design, and optimization processes to guide their integration into the proposedmethodology. By usingGrasshopper, a visual programming application, a continuous data flowfor parts optimization is defined. Parametric design tools support the structural optimization of the general geometry, the infill, and the shell structure to obtain lightweight designs. Thus, the final shapes are obtained as a result of the optimization process which starts from basic geometries, not from an initial design. The infill does not correspond to pre-established patterns, and its elements are sized in a non-uniform manner throughout the piece to respond to different local loads. Mass customization and Fused Deposition Modeling (FDM) systems represent contexts of special potential for this methodology.
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    1,2,*, 1 and
    (MDPI, 2019-11-21) Bayarri Cayón, Vicente; Sebastián Pérez, Miguel Ángel; Ripoll López, Sergio; https://orcid.org/0000-0002-3656-7995
    Paleolithic rock art is one of the most important cultural phenomena in the history of mankind. It was made by making incisions and/or applying natural pigments mixed with water or organic elements on a rock surface, which for millennia has been subjected to different factors of natural and anthropogenic alteration that have caused its deterioration and/or disappearance. The present paper shows a methodology that employs hyperspectral technology in the range of visible light and the near infrared spectrum, providing a scientific and non-destructive way to study, conserve and manage such a valuable cultural heritage. Recognition of coloring matter, formal recognition of the figures, superposition of forms and documentation of the state of conservation are relevant topics in rock art, and hyperspectral imaging technology is an efficient way to study them. The aim is to establish a method of creating pigment cartography and enhancing the visualization of rock art panels. Illumination sources, spectroradiometry measurements and camera adjustments must be taken into account to generate accurate results that later will be pre-processed to derive reflectance data, and then pigment analysis and enhanced visualization methods are applied. This methodology has allowed us to obtain 76% more figures than using traditional techniques throughout the case study area.
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    Collaborative Cataloging of Spanish Industrial Heritage Assets through Teaching in Project Management Subjects
    (MDPI, 2021-09-21) Claver Gil, Juan; García Domínguez, Amabel; Sebastián Pérez, Miguel Ángel
    The cataloguing experience presented addresses two key challenges of cataloguing industrial heritage assets. On the one hand, despite their value and interest, some of these assets are little known and difficult to identify. Moreover, on the other hand, this heritage typology needs further promotion and valuation. In this context, collaborative cataloging responds to both challenges from its initial approach. Unlike cataloging tasks developed by small teams, involving many people throughout the territory allows to take advantage of the local knowledge of each participant. However, in addition, each participant contributes to the dissemination of the goods collected in the generated catalog. First in a passive way, when knowing the contributions of the rest of the participants. Secondly, actively, by disseminating the cataloging initiative developed among their contacts. This cataloguing experience has been developed with the students of the subject Environmental Project Management during the last four courses. The assets selected by the students (106) as case studies to develop a reuse project are shown in an open web map, which includes the narrated video presentation of the proposal developed for some of them (25). The obtained results contribute both the identification and promoting of this kind of assets.