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deform 3d v10.2
Based on the finite element method, DEFORM has proven to be accurate and robust in industrial application for more than two decades. The simulation engine is capable of predicting large deformation material flow and thermal behavior with astonishing precision. DEFORM is the most widely used simulation program in the world by leading research institutes and manufacturers. See our product information for additional details.
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The interface of DEFORM will let you prepare data and analysis effortlessly. It provides such environment that engineers do not have to focus on the coding part and can have their full focus on forming. DEFORM HT will let you model heat treatment processes which include quenching, tempering, normalizing and annealing etc. Different mechanical properties can be predicted with DEFORM HT like residual stresses, hardness and quench deformation etc. DEFORM is equipped with various wizards for different processes e.g. Ring rolling, Extrusion, Machining, Cogging and Heat Treatment etc.You may also download EdiLus
Complex multiple deforming body capability with arbitrary contact allows users to simulate mechanical joining and coupled die stress analysis.Based on the finite element method, DEFORM has proven to be accurate and robust in industrial application for more than two decades. The simulation engine is capable of predicting large deformation material flow and thermal behavior with astonishing precision. DEFORM is the most widely used simulation program in the world by leading research institutes and manufacturers. See our product information for additional details.
Live2D Cubism creates dynamic expressions by applying deformation to the source illustration.Multiple deformation tools are available for a wide range of cases. Select and combine deformation tools according to the application and purpose to perform modeling exactly as you imagine.
Deform Path is a tool for creating dynamic deformation such as movement of hair or opening and closing of the mouth. ArtMesh can be deformed along the curve of the Deform Path. The precise degree of deformation can be set, allowing you to freely apply deformation to any location and for any purpose.
Warp Deformer is a function used for deformation of a plane, used for purposes such as flapping of clothing. It is used to produce expressions that have a feeling of depth. You can set a parent-child relationship between Deformers and move them in sync. These parent-child settings can dramatically increase modeling efficiency.
Se considera el material de la pieza en bruto completamente plástico y rígido el material de la matriz, lo cual según Wang (2017) se acepta en simulaciones por el MEF, donde la deformación del material sea grande.
Retinotopy constrained source estimation (RCSE) is a method for non-invasively measuring the time courses of activation in early visual areas using magnetoencephalography (MEG) or electroencephalography (EEG). Unlike conventional equivalent current dipole or distributed source models, the use of multiple, retinotopically-mapped stimulus locations to simultaneously constrain the solutions allows for the estimation of independent waveforms for visual areas V1, V2, and V3, despite their close proximity to each other. We describe modifications that improve the reliability and efficiency of this method. First, we find that increasing the number and size of visual stimuli results in source estimates that are less susceptible to noise. Second, to create a more accurate forward solution, we have explicitly modeled the cortical point spread of individual visual stimuli. Dipoles are represented as extended patches on the cortical surface, which take into account the estimated receptive field size at each location in V1, V2, and V3 as well as the contributions from contralateral, ipsilateral, dorsal, and ventral portions of the visual areas. Third, we implemented a map fitting procedure to deform a template to match individual subject retinotopic maps derived from functional magnetic resonance imaging (fMRI). This improves the efficiency of the overall method by allowing automated dipole selection, and it makes the results less sensitive to physiological noise in fMRI retinotopy data. Finally, the iteratively reweighted least squares (IRLS) method was used to reduce the contribution from stimulus locations with high residual error for robust estimation of visual evoked responses. PMID:22102418 2ff7e9595c
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