Topology aware design and manufacturability analysis for additive manufacturing

增材制造的拓扑感知设计和可制造性分析

• 批准号: 2744419
• 金额: --
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2744419
• 关键词: Topology; aware; design; manufacturability; analysis

"Topology Optimisation" (TO) is a commonplace term in engineering, used to describe the optimisation of a structure in terms of mechanical function and/or mass. Whilst there can be nuances in how it is described or integrated between different commercial software packages, the premise is the same. However, the optimality of a TO process depends on a certain objective (e.g., material reduction). Indeed, many engineers would use the term topology and geometry interchangeably. In contrast to pure geometric representations, topological analysis of 3D structures can encode high-level information and help to categorise structures. This is particularly useful, when considering how to manufacture a part. The topological representation of data, can also be used to map complex qualitative interactions.Therefore, at first, this project will investigate various methods to topologically analyse 3D geometry, including those designed using TO and to encode information related to manufacturing complexity into dimensionally reduced representations of the structure. New methods will be developed to analyse and find a mapping between the topological descriptors and the manufacturing complexity. With this knowledge, the project will aim to develop computational frameworks that integrate topological awareness to optimise the manufacturability of additive manufacturing (AM) processes.

“拓扑优化”（TO）是工程中的一个常见术语，用于描述机械功能和/或质量方面的结构优化。虽然不同商业软件包之间的描述或集成方式可能存在细微差别，但前提是相同的。然而，TO 工艺的最优性取决于特定目标（例如，材料减少）。事实上，许多工程师会互换使用术语“拓扑”和“几何”。与纯几何表示相比，3D 结构的拓扑分析可以编码高级信息并有助于对结构进行分类。当考虑如何制造零件时，这特别有用。数据的拓扑表示也可用于映射复杂的定性相互作用。因此，首先，该项目将研究各种方法来拓扑分析 3D 几何，包括使用 TO 设计的方法以及将与制造复杂性相关的信息编码为结构的降维表示。将开发新方法来分析和找到拓扑描述符与制造复杂性之间的映射。凭借这些知识，该项目将致力于开发集成拓扑意识的计算框架，以优化增材制造 (AM) 工艺的可制造性。