Interactive design of flank-millable freeform B-spline surfaces

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Computer-Aided Design Pub Date : 2025-02-11 DOI:10.1016/j.cad.2025.103847
Pengbo Bo , Zeyang Li , Caiming Zhang
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Abstract

We present a method for the interactive design of B-spline surfaces that accommodate cutting tool paths for high-precision flank milling, referred to as flank-millable surfaces. This approach explores the integration of surface design with manufacturing, aligning it with the principle of Design for Manufacturability (DFM). To enhance modeling flexibility, the design surface, cutting tool shape, and tool motion paths are all treated as variables within an optimization framework. The design surface is composed of a sequence of machined strips, with smooth transitions between adjacent strips to ensure high surface quality. To improve computational efficiency and support an interactive design process, we reformulate the constraints as quadratic equations and employ the guided projection method for optimization. Experimental results demonstrate the method’s effectiveness in designing complex freeform surfaces, making it a valuable tool for a wide range of applications.
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可侧铣削自由b样条曲面的交互设计
我们提出了一种b样条曲面的交互设计方法,该方法可容纳用于高精度侧铣削的刀具路径,称为侧铣削曲面。这种方法探索了表面设计与制造的集成,使其与可制造性设计(DFM)的原则保持一致。为了提高建模的灵活性,设计曲面、刀具形状和刀具运动路径都被视为优化框架中的变量。设计表面由一系列加工的带材组成,相邻带材之间的平滑过渡确保了高表面质量。为了提高计算效率和支持交互设计过程,我们将约束重新表述为二次方程,并采用引导投影法进行优化。实验结果表明,该方法在设计复杂自由曲面方面是有效的,具有广泛的应用价值。
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来源期刊
Computer-Aided Design
Computer-Aided Design 工程技术-计算机:软件工程
CiteScore
5.50
自引率
4.70%
发文量
117
审稿时长
4.2 months
期刊介绍: Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in the application of computers to design. Computer-Aided Design invites papers reporting new research, as well as novel or particularly significant applications, within a wide range of topics, spanning all stages of design process from concept creation to manufacture and beyond.
期刊最新文献
Editorial Board ADPINet: Attention-based discrete physics-informed network for solving geometric PDEs Advances and challenges in surface–surface intersection computation — An overview Paver: Element-based pattern creation on 3D free-form surfaces Anisotropic mesh spacing prediction using neural networks
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