Reconstruction of the bending line for free-form bent components extracting the centroids and exploiting NURBS curves

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Graphical Models Pub Date : 2024-08-19 DOI:10.1016/j.gmod.2024.101227
Lorenzo Scandola, Maximilian Erber, Philipp Hagenlocher, Florian Steinlehner, Wolfram Volk
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Abstract

Free-form bending belongs to the kinematics-based forming processes and allows the manufacturing of arbitrary 3D-bent components. To obtain the desired part, the tool kinematics is adjusted by comparing the target and obtained bending line. While the target geometry consists of parametric CAD data, the obtained geometry is a surface mesh, making the bending line extraction a challenging task. In this paper the reconstruction of the bending line for free-form bent components is presented. The strategy relies on the extraction of the centroids, for which a ray casting algorithm is developed and compared to an existing Voronoi-based method. Subsequently the obtained points are used to fit a NURBS parametric model of the curve. The algorithm parameters are investigated with a sensitivity analysis, and its performance is evaluated with a defined error metric. Finally, the strategy is validated comparing its results with a Voronoi-based algorithm, and investigating different cross-sections and geometries.

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通过提取中心点和利用 NURBS 曲线重构自由形态弯曲部件的弯曲线
自由形态弯曲属于基于运动学的成形工艺,可以制造任意的三维弯曲部件。为了获得所需的零件,需要通过比较目标折弯线和获得的折弯线来调整工具运动学。目标几何体由参数 CAD 数据组成,而获得的几何体是曲面网格,因此弯曲线提取是一项具有挑战性的任务。本文介绍了自由形态弯曲部件的弯曲线重建。该策略依赖于中心点的提取,为此开发了一种光线投射算法,并与现有的基于 Voronoi 的方法进行了比较。随后,获得的点被用于拟合曲线的 NURBS 参数模型。通过灵敏度分析对算法参数进行了研究,并通过定义的误差指标对其性能进行了评估。最后,将该策略的结果与基于 Voronoi 的算法进行了比较,并对不同的横截面和几何形状进行了研究,从而对该策略进行了验证。
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来源期刊
Graphical Models
Graphical Models 工程技术-计算机:软件工程
CiteScore
3.60
自引率
5.90%
发文量
15
审稿时长
47 days
期刊介绍: Graphical Models is recognized internationally as a highly rated, top tier journal and is focused on the creation, geometric processing, animation, and visualization of graphical models and on their applications in engineering, science, culture, and entertainment. GMOD provides its readers with thoroughly reviewed and carefully selected papers that disseminate exciting innovations, that teach rigorous theoretical foundations, that propose robust and efficient solutions, or that describe ambitious systems or applications in a variety of topics. We invite papers in five categories: research (contributions of novel theoretical or practical approaches or solutions), survey (opinionated views of the state-of-the-art and challenges in a specific topic), system (the architecture and implementation details of an innovative architecture for a complete system that supports model/animation design, acquisition, analysis, visualization?), application (description of a novel application of know techniques and evaluation of its impact), or lecture (an elegant and inspiring perspective on previously published results that clarifies them and teaches them in a new way). GMOD offers its authors an accelerated review, feedback from experts in the field, immediate online publication of accepted papers, no restriction on color and length (when justified by the content) in the online version, and a broad promotion of published papers. A prestigious group of editors selected from among the premier international researchers in their fields oversees the review process.
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