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arXiv 1811.00548cs.CEcs.CGcs.GRcs.LG
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增强增材制造物体的结构性能

Enhancing the Structural Performance of Additively Manufactured Objects

Middle East Technical University(中东技术大学);Bilkent University(比尔肯特大学)

Erva Ulu

摘要:

准确地量化增材制造(AM)产品的性能的能力对于AM的广泛行业采用是重要的,因为设计需要:(1)满足几何约束,(2)满足由其预期功能决定的结构约束,以及(3)与传统制造方法相比具有成本效益。优化技术提供了设计辅助工具,用于创建符合规定结构目标的成本效益结构。现有方法中的根本问题在于难以量化结构性能,因为每个独特的设计导致一组新的分析以确定结构鲁棒性,并且由于结构所经历的使用力的复杂性,这种分析可能非常昂贵。这项工作开发了计算上易于处理的方法,以最大限度地提高AM产品的结构性能。提出了一种几何保持的结构设计方向优化方法和数据驱动的形状优化方法。所提出的方法大大提高了AM技术的价值,利用它的设计空间,使广泛的一类问题,涉及复杂的使用中的负载。

英文摘要:

The ability to accurately quantify the performance an additively manufactured (AM) product is important for a widespread industry adoption of AM as the design is required to: (1) satisfy geometrical constraints, (2) satisfy structural constraints dictated by its intended function, and (3) be cost effective compared to traditional manufacturing methods. Optimization techniques offer design aids in creating cost-effective structures that meet the prescribed structural objectives. The fundamental problem in existing approaches lies in the difficulty to quantify the structural performance as each unique design leads to a new set of analyses to determine the structural robustness and such analyses can be very costly due to the complexity of in-use forces experienced by the structure. This work develops computationally tractable methods tailored to maximize the structural performance of AM products. A geometry preserving build orientation optimization method as well as data-driven shape optimization approaches to structural design are presented. Proposed methods greatly enhance the value of AM technology by taking advantage of the design space enabled by it for a broad class of problems involving complex in-use loads.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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