Examinando por Materia "Computational costs"
Mostrando 1 - 4 de 4
Resultados por página
Opciones de ordenación
Ítem Analysis of relevant variables to monitor a photovoltaic charging station through the Function to Data Matrix (FDM) method(Institution of Engineering and Technology, 2018-01-01) Cárdenas-Gómez I.; Fernández-Montoya M.; Mejía-Gutiérrez R.The growth of the electric vehicle industry has brought the development of charging stations and the need for good performance of such systems. The large amount of information that can be monitored in these systems can represent a problem for a good operation in terms of control, computational cost and time. For this reason, it is necessary to make a selection of variables that allows to decrease the data-set’s size without compromising the quality of information, needed for a proper information management system. There are several methods for prioritizing variables, such as the Function to Data Matrix (FDM). This method takes into account the functional analysis of the system, as well as the operative states and their relationship with the basic functions and variables. This enables to obtain a Variable Relevance Indicator (VRI) to define which variables have a higher importance under a particular perspective based on the main function of a system. This article presents the process of analyzing a photovoltaic charging station through the FDM method in order to define the most relevant information to be deployed in a future remote monitoring system. © 2018 Institution of Engineering and Technology. All rights reserved.Ítem Analysis of the stability and dispersion for a Riemannian acoustic wave equation(ELSEVIER SCIENCE INC, 2019-01-15) Quiceno, H. R.; Arias, C.; Quiceno, H. R.; Arias, C.; Universidad EAFIT. Departamento de Ciencias; Matemáticas y AplicacionesThe construction of images of the Earth's interior using methods as reverse time migration (RTM) or full wave inversion (FWI) strongly depends on the numerical solution of the wave equation. A mathematical expression of the numerical stability and dispersion for a particular wave equation used must be known in order to avoid unbounded numbers of amplitudes. In case of the acoustic wave equation, the Courant–Friedrich–Lewy (CFL) condition is a necessary but is not a sufficient condition for convergence. Thus, we need to search other types of expression for stability condition. In seismic wave problems, the generalized Riemannian wave equation is used to model their propagation in domains with curved meshes which is suitable for zones with rugged topography. However, only a heuristic version of stability condition was reported in the literature for this equation. We derived an expression for stability condition and numerical dispersion analysis for the Riemannian acoustic wave equation in a two-dimensional medium and analyzed its implications in terms of computational cost. © 2018 Elsevier Inc.Ítem Fast Spectral Formulations of Thin Plate Laser Heating with GPU Implementation(Institute of Electrical and Electronics Engineers Inc., 2020-01-01) Mejia-Parra D.; Arbelaiz A.; Moreno A.; Posada J.; Ruiz-Salguero O.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAEIn the context of numerical methods, the problem of frequency-domain (spectral) simulations is crucial for the solution of Partial Differential Equations. Fast Fourier Transform (FFT) algorithms significantly reduce the computational cost of such simulations and enable parallelization using Graphics Processing Units (GPUs). In the particular subdomain of laser heating/cutting of rectangular metal plates, fast simulation is required for tool path planning, parameter optimization and additive manufacturing. The currently used methods include frequency-domain analytic solutions for single-beam and multi-beam laser heating. However, the problem of formulating these spectral problems in terms of Fourier methods and implementing them in efficient manner remains. To overcome these limitations, this article presents two different schemes that translate the problem of laser beam heating of metal plates into equivalent FFT problems. The results show significant improvements in terms of executions times, being 100× faster than current state-of-the-art algorithms. Future work needed involves the inclusion of stress analysis, complex plate geometries and non-constant material properties for the plate. © 2020 IEEE.Ítem Kinematic identification of parallel mechanisms by a divide and conquer strategy(INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, 2010-01-01) Durango S.; Externo - Escuela - Ingeniería; Ruiz O.; Restrepo-Giraldo J.; Achiche S.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAEThis paper presents a Divide and Conquer strategy to estimate the kinematic parameters of parallel symmetrical mechanisms. The Divide and Conquer kinematic identification is designed and performed independently for each leg of the mechanism. The estimation of the kinematic parameters is performed using the inverse calibration method. The identification poses are selected optimizing the observability of the kinematic parameters from a Jacobian identification matrix. With respect to traditional identification methods the main advantages of the proposed Divide and Conquer kinematic identification strategy are: (i) reduction of the kinematic identification computational costs, (ii) improvement of the numerical efficiency of the kinematic identification algorithm and, (iii) improvement of the kinematic identification results. The contributions of the paper are: (i) The formalization of the inverse calibration method as the Divide and Conquer strategy for the kinematic identification of parallel symmetrical mechanisms and, (ii) a new kinematic identification protocol based on the Divide and Conquer strategy. As an application of the proposed kinematic identification protocol the identification of a planar 5R symmetrical mechanism is simulated. The performance of the calibrated mechanism is evaluated by updating the kinematic model with the estimated parameters and developing simulations.