Examinando por Materia "Characterization"

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    Caracterización morfológica del depósito vetiforme epitermal en el NE del Batolito Antioqueño – Mina Los Balsos, Yolombó – Antioquia
    (Universidad EAFIT, 2023) Cataño Soto, Cristian Camilo; Marín Cerón, María Isabel; Marín Cerón, María Isabel
    It is important to understand the morphology of a vein-type mineralization when seeking to estimate resources, as this knowledge supports subsequent decision-making in exploration and extraction processes, especially when structural factors play a significant role in mineral accumulation. In order to provide a tool that optimizes the exploration processes of the Los Balsos Mine project, a morphological model is being developed for the majority of structures intercepted by its tunneling, which serves as a basis for understanding the spatial behavior of veins, their hierarchization, spatial interaction, and their relationship with regional events. This information can be complemented with petrographic data in future projects. The study area is located in the northeastern part of the Antioquian batholith, in the youngest region of the body, where quartz vein deposits accompanied by sulfides are present and displaced by the interference zone of the Palestina Fault. These structures suffer from significant deficiencies in geometric and structural characterization, mainly due to the challenging accessibility of the area, which is mostly exploited by informal projects and lacks technical information in the public domain. That is why detailed mapping supported by samples and structural data was carried out, digitized into maps (1:500 and 1:50) that serve as the basis for prospective models. These models propose future exploration targets, which in turn facilitate economically and scientifically significant decision-making.
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    Estructura de un modelo de gestión por procesos en la Agencia de Desarrollo Local de Nariño
    (Universidad EAFIT, 2023) Betancourt Basante, Daniela; Hernández López, Juan David; Giraldo Hernández, Gina Maria
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    Evaluación de las propiedades térmicas, reológicas y mecánicas de mezclas entre HDPE virgen con HDPE reciclado
    (Universidad EAFIT, 2023) Gómez Sandoval, Juan Camilo; González Villa, Sandra Milena
    The rheological, thermal, morphological and mechanical properties of high-density polyethylene (HDPE) are studied in virgin/recycled mixtures from the implementation of a mechanical recycling process of plastic guides, used as coupling devices in used plaster molds. in the ceramic industry. Despite finding losses in its properties, the feasibility of mixing with virgin and recycled material is demonstrated, still being useful for multiple applications.
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    Fabrication and Characterization of Alq3 Thin Films
    (Universidad EAFIT, 2014-06-24) Adames, R. P.; Segura, J A; Gómez, D P; Ardila, A M; Universidad Nacional de Colombia
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    Methodology for the modification of the motorization of a two-wheeled vehicle considering the redesign of mechanical systems
    (Universidad EAFIT, 2022) Moreno Durango, Laura María; Osorio Gómez, Gilberto; Córdoba Morales, Jorge Hernán
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    Physicochemical and microbiological characterization of Apis mellifera sp. honey from Southwest of Antioquia in Colombia
    (Universidad EAFIT, 2013-11-05) Velásquez Giraldo, A V; Vélez Acosta, Lina M.; Zuluaga Gallego, Robin; University of Massachusetts; Universidad Pontificia Bolivariana; Universidad Pontificia Bolivariana
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    Sensitivity analysis in optimized parametric curve fitting
    (EMERALD GROUP PUBLISHING LIMITED, 2015-03-02) Ruiz, Oscar E.; Cortes, Camilo; Acosta, Diego A.; Aristizabal, Mauricio; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAE
    Purpose-Curve fitting from unordered noisy point samples is needed for surface reconstruction in many applications. In the literature, several approaches have been proposed to solve this problem. However, previous works lack formal characterization of the curve fitting problem and assessment on the effect of several parameters (i.e. scalars that remain constant in the optimization problem), such as control points number (m), curve degree (b), knot vector composition (U), norm degree (k ), and point sample size (r) on the optimized curve reconstruction measured by a penalty function ( f ). The paper aims to discuss these issues. Design/methodology/approach-A numerical sensitivity analysis of the effect of m, b, k and r on f and a characterization of the fitting procedure from the mathematical viewpoint are performed. Also, the spectral (frequency) analysis of the derivative of the angle of the fitted curve with respect to u as a means to detect spurious curls and peaks is explored. Findings-It is more effective to find optimum values for m than k or b in order to obtain good results because the topological faithfulness of the resulting curve strongly depends on m. Furthermore, when an exaggerate number of control points is used the resulting curve presents spurious curls and peaks. The authors were able to detect the presence of such spurious features with spectral analysis. Also, the authors found that the method for curve fitting is robust to significant decimation of the point sample. Research limitations/implications-The authors have addressed important voids of previous works in this field. The authors determined, among the curve fitting parameters m, b and k, which of them influenced the most the results and how. Also, the authors performed a characterization of the curve fitting problem from the optimization perspective. And finally, the authors devised a method to detect spurious features in the fitting curve. Practical implications-This paper provides a methodology to select the important tuning parameters in a formal manner. Originality/value-Up to the best of the knowledge, no previous work has been conducted in the formal mathematical evaluation of the sensitivity of the goodness of the curve fit with respect to different possible tuning parameters (curve degree, number of control points, norm degree, etc.). © Emerald Group Publishing Limited.
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    Sensitivity analysis in optimized parametric curve fitting
    (EMERALD GROUP PUBLISHING LIMITED, 2015-03-02) Ruiz, Oscar E.; Cortes, Camilo; Acosta, Diego A.; Aristizabal, Mauricio; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
    Purpose-Curve fitting from unordered noisy point samples is needed for surface reconstruction in many applications. In the literature, several approaches have been proposed to solve this problem. However, previous works lack formal characterization of the curve fitting problem and assessment on the effect of several parameters (i.e. scalars that remain constant in the optimization problem), such as control points number (m), curve degree (b), knot vector composition (U), norm degree (k ), and point sample size (r) on the optimized curve reconstruction measured by a penalty function ( f ). The paper aims to discuss these issues. Design/methodology/approach-A numerical sensitivity analysis of the effect of m, b, k and r on f and a characterization of the fitting procedure from the mathematical viewpoint are performed. Also, the spectral (frequency) analysis of the derivative of the angle of the fitted curve with respect to u as a means to detect spurious curls and peaks is explored. Findings-It is more effective to find optimum values for m than k or b in order to obtain good results because the topological faithfulness of the resulting curve strongly depends on m. Furthermore, when an exaggerate number of control points is used the resulting curve presents spurious curls and peaks. The authors were able to detect the presence of such spurious features with spectral analysis. Also, the authors found that the method for curve fitting is robust to significant decimation of the point sample. Research limitations/implications-The authors have addressed important voids of previous works in this field. The authors determined, among the curve fitting parameters m, b and k, which of them influenced the most the results and how. Also, the authors performed a characterization of the curve fitting problem from the optimization perspective. And finally, the authors devised a method to detect spurious features in the fitting curve. Practical implications-This paper provides a methodology to select the important tuning parameters in a formal manner. Originality/value-Up to the best of the knowledge, no previous work has been conducted in the formal mathematical evaluation of the sensitivity of the goodness of the curve fit with respect to different possible tuning parameters (curve degree, number of control points, norm degree, etc.). © Emerald Group Publishing Limited.