ABSTRACT

Design for additive manufacturing (AM) involves decision making in various design domains, including product design, material selection, and process planning. In practice, engineers typically adopt a sequential design process to optimize these design domains in consecutive order. However, coupling factors, e.g. shared variables, related constraints, and conflicting objectives, are not sufficiently considered within the sequential design process, resulting in an inefficient workflow and suboptimal design solutions. To address the above issues, this paper proposes a multidisciplinary design optimization framework to simultaneously optimize different domains, which enables rapid exploration and complete exploitation of the AM design space under complex constraints. More specifically, the proposed framework is based on the concurrent optimization method, which coordinates the optimization of different design domains by allowing an automated exchange of design information. Also, the framework utilizes the surrogate modeling approach to approximate high-fidelity simulations for facilitating the iterative process. The effectiveness of the proposed framework is validated with two examples, a plate with a hole design and a hook design, which involve multiple design objectives from both process and structure domains, i.e. the print time, print area, strain energy, and maximum von Mises stress.

中文翻译：

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增材制造设计中的多学科设计优化

摘要

增材制造 (AM) 设计涉及各种设计领域的决策，包括产品设计、材料选择和工艺规划。在实践中，工程师通常采用顺序设计过程以连续顺序优化这些设计域。然而，耦合因素，例如共享变量、相关约束和冲突目标，在顺序设计过程中没有得到充分考虑，导致工作流程效率低下和设计解决方案不理想。针对上述问题，本文提出了一种多学科设计优化框架，可同时优化不同领域，从而能够在复杂约束下快速探索和充分利用增材制造设计空间。进一步来说，所提出的框架基于并发优化方法，该方法通过允许设计信息的自动交换来协调不同设计域的优化。此外，该框架利用代理建模方法来近似高保真模拟，以促进迭代过程。通过两个示例验证了所提出框架的有效性，一个带有孔设计的板和一个钩子设计，它们涉及来自工艺和结构领域的多个设计目标，即打印时间、打印面积、应变能和最大 von Mises压力。该框架利用代理建模方法来近似高保真模拟，以促进迭代过程。通过两个示例验证了所提出框架的有效性，一个带有孔设计的板和一个钩子设计，它们涉及来自工艺和结构领域的多个设计目标，即打印时间、打印面积、应变能和最大 von Mises压力。该框架利用代理建模方法来近似高保真模拟，以促进迭代过程。通过两个示例验证了所提出框架的有效性，一个带有孔设计的板和一个钩子设计，它们涉及来自工艺和结构领域的多个设计目标，即打印时间、打印面积、应变能和最大 von Mises压力。