217,569 research outputs found

    キュウスイニヨルキャドキャムヨウコンポジットレジンノレッカニカンスルインビトロインシリコケンキュウ

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    Chunwoo LEE, Kana KASHIMA, Akiko ICHIKAWA, Satoshi YAMAGUCHI, Satoshi IMAZATO, Influence of hydrolysis degradation of silane coupling agents on mechanical performance of CAD/CAM resin composites: In silico multi-scale analysis, Dental Materials Journal, 2020, Volume 39, Issue 5, Pages 803-807, Released on J-STAGE September 29, 2020, Advance online publication May 12, 2020, Online ISSN 1881-1361, Print ISSN 0287-4547, https://doi.org/10.4012/dmj.2019-223, https://www.jstage.jst.go.jp/article/dmj/39/5/39_2019-223/_article/-char/en.Chunwoo Lee, Satoshi Yamaguchi, Keisuke Ohta, Satoshi Imazato, Mechanical properties of computer-aided design/computer-aided manufacturing resin composites assuming perfect silane coupling using in silico homogenization of cryo-electron microscopy images, Journal of Prosthodontic Research, Volume 63, Issue 1, 2019, Pages 90-94, ISSN 1883-1958, https://doi.org/10.1016/j.jpor.2018.09.001

    From 3D Models to 3D Prints: an Overview of the Processing Pipeline

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    Due to the wide diffusion of 3D printing technologies, geometric algorithms for Additive Manufacturing are being invented at an impressive speed. Each single step, in particular along the Process Planning pipeline, can now count on dozens of methods that prepare the 3D model for fabrication, while analysing and optimizing geometry and machine instructions for various objectives. This report provides a classification of this huge state of the art, and elicits the relation between each single algorithm and a list of desirable objectives during Process Planning. The objectives themselves are listed and discussed, along with possible needs for tradeoffs. Additive Manufacturing technologies are broadly categorized to explicitly relate classes of devices and supported features. Finally, this report offers an analysis of the state of the art while discussing open and challenging problems from both an academic and an industrial perspective.Comment: European Union (EU); Horizon 2020; H2020-FoF-2015; RIA - Research and Innovation action; Grant agreement N. 68044

    Fourth-order flows in surface modelling

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    This short article is a brief account of the usage of fourth-order curvature flow in surface modelling

    Constructing IGA-suitable planar parameterization from complex CAD boundary by domain partition and global/local optimization

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    In this paper, we propose a general framework for constructing IGA-suitable planar B-spline parameterizations from given complex CAD boundaries consisting of a set of B-spline curves. Instead of forming the computational domain by a simple boundary, planar domains with high genus and more complex boundary curves are considered. Firstly, some pre-processing operations including B\'ezier extraction and subdivision are performed on each boundary curve in order to generate a high-quality planar parameterization; then a robust planar domain partition framework is proposed to construct high-quality patch-meshing results with few singularities from the discrete boundary formed by connecting the end points of the resulting boundary segments. After the topology information generation of quadrilateral decomposition, the optimal placement of interior B\'ezier curves corresponding to the interior edges of the quadrangulation is constructed by a global optimization method to achieve a patch-partition with high quality. Finally, after the imposition of C1=G1-continuity constraints on the interface of neighboring B\'ezier patches with respect to each quad in the quadrangulation, the high-quality B\'ezier patch parameterization is obtained by a C1-constrained local optimization method to achieve uniform and orthogonal iso-parametric structures while keeping the continuity conditions between patches. The efficiency and robustness of the proposed method are demonstrated by several examples which are compared to results obtained by the skeleton-based parameterization approach
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