收缩与变形:由形状记忆效应驱动的三维打印自塑形外壳

David Jourdan, Pierre-Alexandre Hugron, Camille Schreck, Jonàs Martínez, Sylvain Lefebvre
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引用次数: 0

摘要

虽然3D打印可以实现各种形状的定制和家庭制造,但制造自由形状的薄壳仍然具有挑战性。由于层与曲率不对齐,它们会导致结构缺陷,而弯曲的外壳需要大型支撑结构,通常使用比部件本身更多的材料。我们提出了一个计算框架,用于优化3D打印板的内部结构,使它们在加热时变成所需的自由形状外壳。这利用了PLA等热塑性塑料的收缩效应,它们沿着沉积方向存储内应力。当材料再次加热到玻璃化转变温度以上时,这些应力就会释放,导致各向异性变形,从而产生曲率。我们的反设计方法以自由曲面为输入,并在每一层中找到一组优化的沉积轨迹,使其各向异性收缩使板变形为规定的表面几何形状。我们优化了一个连续的矢量场,它在整个板上和在它的厚度内变化。然后,该算法从矢量场中提取一组沉积轨迹,以便在标准FFF打印机上制造平板。我们在自由曲面、双曲面上验证了我们的算法。
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Shrink & Morph: 3D-Printed Self-Shaping Shells Actuated by a Shape Memory Effect
While 3D printing enables the customization and home fabrication of a wide range of shapes, fabricating freeform thin-shells remains challenging. As layers misalign with the curvature, they incur structural deficiencies, while the curved shells require large support structures, typically using more material than the part itself. We present a computational framework for optimizing the internal structure of 3D printed plates such that they morph into a desired freeform shell when heated. This exploits the shrinkage effect of thermoplastics such as PLA, which store internal stresses along the deposition directions. These stresses get released when the material is heated again above its glass transition temperature, causing an anisotropic deformation that induces curvature. Our inverse design method takes as input a freeform surface and finds an optimized set of deposition trajectories in each layer such that their anisotropic shrinkage deforms the plate into the prescribed surface geometry. We optimize for a continuous vector field that varies across the plate and within its thickness. The algorithm then extracts a set of deposition trajectories from the vector field in order to fabricate the flat plates on standard FFF printers. We validate our algorithm on freeform, doubly-curved surfaces.
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