22 research outputs found

    Tetrahedral mesh improvement by shell transformation

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    Existing flips for tetrahedral meshes simply make a selection from a few possible configurations within a single shell (i.e., a polyhedron that can be filled up with a mesh composed of a set of elements that meet each other at one edge), and their effectiveness is usually confined. A new topological operation for tetrahedral meshes named shell transformation is proposed. Its recursive callings execute a sequence of shell transformations on neighboring shells, acting like composite edge removal transformations. Such topological transformations are able to perform on a much larger element set than that of a single flip, thereby leading the way towards a better local optimum solution. Hence, a new mesh improvement algorithm is developed by combining this recursive scheme with other schemes, including smoothing, point insertion and point suppression. Numerical experiments reveal that the proposed algorithm can well balance some stringent and yet sometimes even conflict requirements of mesh improvement, i.e., resulting in high-quality meshes and reducing computing time at the same time. Therefore, it can be used for mesh quality improvement tasks involving millions of elements, in which it is essential not only to generate high-quality meshes, but also to reduce total computational time for mesh improvement

    Virtual reality surgery simulation: A survey on patient specific solution

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    For surgeons, the precise anatomy structure and its dynamics are important in the surgery interaction, which is critical for generating the immersive experience in VR based surgical training applications. Presently, a normal therapeutic scheme might not be able to be straightforwardly applied to a specific patient, because the diagnostic results are based on averages, which result in a rough solution. Patient Specific Modeling (PSM), using patient-specific medical image data (e.g. CT, MRI, or Ultrasound), could deliver a computational anatomical model. It provides the potential for surgeons to practice the operation procedures for a particular patient, which will improve the accuracy of diagnosis and treatment, thus enhance the prophetic ability of VR simulation framework and raise the patient care. This paper presents a general review based on existing literature of patient specific surgical simulation on data acquisition, medical image segmentation, computational mesh generation, and soft tissue real time simulation

    Generalised Mesh and Adaptivity Techniques for Computational Fluid Dynamics

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    An upwind kinetic flux vector splitting method for the euler equations on unstructured grids

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    This report describes the implementation, results and experiences gained in implementing an upwind kinetic flux vector splitting (KFVS) algorithm, developed by Deshpande and Mandal (1-7) on unstructured meshes constructed using the Delaunay triangulation (8,13,15)

    The numerical simulation of invisid compressible aeronautical flows

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    In this collaborative work, an unstructured grid generation technique, based upon the Delaunay triangulation, has been combined with an upwind kinetic flux vector splitting high resolution flow algorithm to simulate inviscid compressible flows for aeronautical applications

    Scaling Up Multiphysics

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