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Cross section-based hollowing and structural enhancement

机译:基于截面的挖空和结构增强

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Recently, 3D printing has become a powerful tool for personal fabrication. However, the price of some materials is still high which limits its applications in home users. To optimize the volume of the model, while not largely affecting the strength of the objects, researchers propose algorithms to divide the model with different kinds of lightweight structures, such as frame structure, honeycomb cell structure, truss structure, medial axis tree. However, these algorithms are not suitable for the model whose internal space needs to be reused. In addition, the structural strength and static stability of the models, obtained with modern 3D model acquirement methods, are not guaranteed. In consequence, some models are too fragile to print and cannot be survived in daily usage, handling, and transportation or cannot stand in a stable. To handle the mentioned problems, an algorithm system is proposed based on cross sections in this work. The structural weak cross sections are enhanced, and structural strong cross sections are adaptively hollowed to meet a given structural strength, static stability, printability, etc., while the material usage is minimized. The proposed algorithm system has been tested on several typical 3D models. The experimental results demonstrate the effectiveness and practicability of our system.
机译:近来,3D打印已成为个人制作的强大工具。但是,某些材料的价格仍然很高,这限制了其在家庭用户中的应用。为了优化模型的体积,同时又不影响对象的强度,研究人员提出了将模型划分为不同类型的轻型结构的算法,例如框架结构,蜂窝单元结构,桁架结构,中轴树。但是,这些算法不适用于需要重用内部空间的模型。此外,不能保证使用现代3D模型获取方法获得的模型的结构强度和静态稳定性。结果,某些模型太脆弱而无法打印,无法在日常使用,搬运和运输中幸存下来,或者无法保持稳定。为了解决上述问题,本文提出了一种基于截面的算法系统。结构性弱截面得到增强,结构性强截面被适应性地挖空,以满足给定的结构强度,静态稳定性,可印刷性等,同时最大限度地减少了材料用量。所提出的算法系统已经在几种典型的3D模型上进行了测试。实验结果证明了我们系统的有效性和实用性。

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