当前位置: X-MOL 学术CIRP Ann. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Bio-inspired generative design for support structure generation and optimization in Additive Manufacturing (AM)
CIRP Annals ( IF 3.2 ) Pub Date : 2020-01-01 , DOI: 10.1016/j.cirp.2020.04.091
Yicha Zhang , Zhiping Wang , Yancheng Zhang , Samuel Gomes , Alain Bernard

Additive Manufacturing (AM) is widely used to manufacture complex and personalized medical components. However, the generation and manually removing of support structures in the pre- and post-processing stages are still time-consuming and costly. To improve the automation of preparation while reducing support structure volume, post-processing time and cost, this paper proposes a bio-inspired generative design method, integrating parametric L systems, evolutionary optimization and an AM processing simulation model, to generate light-weight, easy-to-remove and heat-diffusion-friendly biomimetic support structures. Dental components are modelled and manufactured for validating the proposed method. The results obtained are compared with that of existing commercial software tools.

中文翻译:

用于增材制造 (AM) 中支撑结构生成和优化的仿生生成设计

增材制造 (AM) 广泛用于制造复杂和个性化的医疗组件。然而,在预处理和后处理阶段生成和手动移除支撑结构仍然耗时且成本高。为了提高制备的自动化程度,同时减少支撑结构体积、后处理时间和成本,本文提出了一种仿生生成设计方法,集成参数 L 系统、进化优化和 AM 加工仿真模型,以生成轻量级、易于移除且热扩散友好的仿生支撑结构。牙科组件被建模和制造以验证所提出的方法。将获得的结果与现有商业软件工具的结果进行比较。
更新日期:2020-01-01
down
wechat
bug