VASCO:用于混合制造的体积和表面共分解技术

Fanchao Zhong, Haisen Zhao, Haochen Li, Xin Yan, Jikai Liu, Baoquan Chen, Lin Lu
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引用次数: 0

摘要

增材和减法混合制造(ASHM)涉及到增材和减法制造技术的交替使用,这为制造具有其他不可接近表面的复杂几何形状提供了独特的优势。然而,由于物体形状可能会发生巨大变化,并且形状的不同部分是相互依存的,因此在两种制造过程中确保工具的可及性是一个重大挑战。在本研究中,我们提出了一个计算框架来优化加减法序列的规划,同时确保工具的可及性。我们的目标是最大限度地减少增材和减材工艺之间的切换,以实现高效制造,同时保持产品质量。我们通过将其表述为体积和表面co分解(VASCO)问题来解决问题。首先,我们将体积切成薄片,并构建一个动态有向图来编码制造约束,每个节点代表一个薄片,方向反映操作顺序。我们引入了一种新的几何性质,称为混合可加工性的一对加法和减法程序。然后,我们提出了一种波束引导自顶向下的块分解算法来解决VASCO问题。我们将我们的解决方案应用于五轴混合制造平台,并评估各种3D形状。最后,我们通过物理和模拟制造评估来评估我们的方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VASCO: Volume and Surface Co-Decomposition for Hybrid Manufacturing
Additive and subtractive hybrid manufacturing (ASHM) involves the alternating use of additive and subtractive manufacturing techniques, which provides unique advantages for fabricating complex geometries with otherwise inaccessible surfaces. However, a significant challenge lies in ensuring tool accessibility during both fabrication procedures, as the object shape may change dramatically, and different parts of the shape are interdependent. In this study, we propose a computational framework to optimize the planning of additive and subtractive sequences while ensuring tool accessibility. Our goal is to minimize the switching between additive and subtractive processes to achieve efficient fabrication while maintaining product quality. We approach the problem by formulating it as a Volume-And-Surface-CO-decomposition (VASCO) problem. First, we slice volumes into slabs and build a dynamic-directed graph to encode manufacturing constraints, with each node representing a slab and direction reflecting operation order. We introduce a novel geometry property called hybrid-fabricability for a pair of additive and subtractive procedures. Then, we propose a beam-guided top-down block decomposition algorithm to solve the VASCO problem. We apply our solution to a 5-axis hybrid manufacturing platform and evaluate various 3D shapes. Finally, we assess the performance of our approach through both physical and simulated manufacturing evaluations.
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