6 resultados para coefficienti binomiali combinatoria differenze finite

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En las especies que exhiben heterosis, el conocimiento de la aptitud combinatoria del germoplasma en cruzamientos con probadores genéticamente divergentes permite su clasificación según grupos heteróticos. El objetivo del presente trabajo fue evaluar 48 líneas de maíz (Zea mays) flint colorado en base a su comportamiento en cruzamientos de prueba con los probadores dentados sB73 y sMo17 del patrón heterótico Reid x Lancaster y con los probadores flint HP3 y P5L2 del patrón heterótico local HP3 x P5L2 en cuatro ambientes durante la campaña 1991/92. Se realizaron los análisis de variancia por ambiente y en forma combinada a través de ambientes para: rendimiento en grano, altura de inserción de espiga, días a floración masculina, número de hileras de grano, largo y diámetro de espiga, peso de 300 granos y peso hectolítrico. Se estimaron los coeficientes de correlación de Spearman para el rendimiento de los cruzamientos de prueba con cada probador. Las interacciones línea por probador fueron altamente significativas para la mayoría de las variables y no hubo correlación entre el ordenamiento de mérito de las líneas basado en su comportamiento en cruzamientos de prueba. Ello refleja la importancia de efectos génicos no aditivos y la capacidad discriminatoria de estos probadores en cruzamientos con las líneas evaluadas.

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Se realizó un experimento dialélico entre nueve líneas de maíz (Zea mays) (Método 4, modelo I de Griffing (1956)) con el objeto de determinar Aptitud combinatoria general y específica (ACG y ACE) para Resistencia a Mal de Río Cuarto (MRC). Los ambientes seleccionados fueron Pergamino, Junín, Ferré (región maicera VI) y Sampacho y Holmberg (región maicera IV). La severidad de la enfermedad, evaluada a través del Grado Medio de Ataque (GMA), resultó nula en Pergamino y Junín, y de 0,14 en Ferré, con diferencias significativas entre tratamientos. En Holmberg fue de 0,59 y en Sampacho 1,57. El análisis de variancia para esta región detectó diferencias significativas entre ambientes y entre tratamientos, no detectándose interacción. El GMA promedio de los híbridos experimentales no se diferenció del promedio los testigos resistentes, si lo hizo de los testigos comerciales (más susceptibles). Veinticinco materiales experimentales no se diferenciaron del mejor de los testigos resistentes. La selección por pedigrí fue efectiva para mejorar este carácter. Los materiales experimentales en general demostraron poseer características que les darían competitividad en el mercado. Por su ACG, las líneas más resistentes a MRC fueron la 2526 y la 2378 (con efectos significativos y negativos: resistentes) por los efectos de ACE, se destacaron los híbridos: 2378 x 2600, 2335 x 2600, LP561 x 2568-2 y 2526 x 2600. En Sampacho el 42% de la disminución en el rendimiento pudo atribuirse al MRC, en Holmberg el 8%.

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This work presents a geometric nonlinear dynamic analysis of plates and shells using eight-node hexahedral isoparametric elements. The main features of the present formulation are: (a) the element matrices are obtained using reduced integrations with hourglass control; (b) an explicit Taylor-Galerkin scheme is used to carry out the dynamic analysis, solving the corresponding equations of motion in terms of velocity components; (c) the Truesdell stress rate tensor is used; (d) the vector processor facilities existing in modern supercomputers were used. The results obtained are comparable with previous solutions in terms of accuracy and computational performance.

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The demand for more efficient manufacturing processes has been increasing in the last few years. The cold forging process is presented as a possible solution, because it allows the production of parts with a good surface finish and with good mechanical properties. Nevertheless, the cold forming sequence design is very empirical and it is based on the designer experience. The computational modeling of each forming process stage by the finite element method can make the sequence design faster and more efficient, decreasing the use of conventional "trial and error" methods. In this study, the application of a commercial general finite element software - ANSYS - has been applied to model a forming operation. Models have been developed to simulate the ring compression test and to simulate a basic forming operation (upsetting) that is applied in most of the cold forging parts sequences. The simulated upsetting operation is one stage of the automotive starter parts manufacturing process. Experiments have been done to obtain the stress-strain material curve, the material flow during the simulated stage, and the required forming force. These experiments provided results used as numerical model input data and as validation of model results. The comparison between experiments and numerical results confirms the developed methodology potential on die filling prediction.

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It is well known that the numerical solutions of incompressible viscous flows are of great importance in Fluid Dynamics. The graphics output capabilities of their computational codes have revolutionized the communication of ideas to the non-specialist public. In general those codes include, in their hydrodynamic features, the visualization of flow streamlines - essentially a form of contour plot showing the line patterns of the flow - and the magnitudes and orientations of their velocity vectors. However, the standard finite element formulation to compute streamlines suffers from the disadvantage of requiring the determination of boundary integrals, leading to cumbersome implementations at the construction of the finite element code. In this article, we introduce an efficient way - via an alternative variational formulation - to determine the streamlines for fluid flows, which does not need the computation of contour integrals. In order to illustrate the good performance of the alternative formulation proposed, we capture the streamlines of three viscous models: Stokes, Navier-Stokes and Viscoelastic flows.

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The partial replacement of NaCl by KCl is a promising alternative to produce a cheese with lower sodium content since KCl does not change the final quality of the cheese product. In order to assure proper salt proportions, mathematical models are employed to control the product process and simulate the multicomponent diffusion during the reduced salt cheese ripening period. The generalized Fick's Second Law is widely accepted as the primary mass transfer model within solid foods. The Finite Element Method (FEM) was used to solve the system of differential equations formed. Therefore, a NaCl and KCl multicomponent diffusion was simulated using a 20% (w/w) static brine with 70% NaCl and 30% KCl during Prato cheese (a Brazilian semi-hard cheese) salting and ripening. The theoretical results were compared with experimental data, and indicated that the deviation was 4.43% for NaCl and 4.72% for KCl validating the proposed model for the production of good quality, reduced-sodium cheeses.