Generative design for additive manufacturing using a biological development analogy. Issue 2 (12th March 2022)

• Record Type: Journal Article
• Authors: Price, Mark; Zhang, Wei; Friel, Imelda; Robinson, Trevor; McConnell, Roisin; Nolan, Declan; Kilpatrick, Peter; Barbhuiya, Sakil; Kyle, Stephen
• Is Part Of: Journal of computational design and engineering. Volume 9:Issue 2(2022)
• Page Start: 463
• Page End: 479
• Publication Date: 2022-03-12
• Subjects: generative design -- design for additive manufacturing -- bio-inspired design -- plant development -- engineering design -- innovation; Engineering -- Data processing -- Periodicals; Computer-aided design -- Periodicals; Computer-aided design; Engineering -- Data processing; Electronic journals; Electronic journals; Periodicals; 620.0042
• DOI: 10.1093/jcde/qwac016
• Languages: English
• ISSNs: 2288-4300

Abstract

Abstract: The transformation in manufacturing capability being driven by new processes, such as additive manufacturing, offers huge potential for product innovation and opportunity to create bespoke designs tailored to individual specifications or needs. However, current design systems and tools are not yet capable of fully capitalizing on these new technologies and new approaches are needed. Many current methodologies are top-down and sequential, offering limited flexibility and an overly constrained design space. Post-processing is needed to ensure that a design can be manufactured. This work presents a novel bottom-up methodology to generate designs that can be tightly integrated with the additive manufacturing environment and that can respond flexibly to changes in that environment. Focusing on overhang as an exemplar manufacturing constraint, the method engenders changes in the design either by locally adjusting the geometry to stay within limits or by adding an appropriate support structure. The method is bio-inspired, based on strategies observed in natural systems, particularly in biological growth and development. The design geometry is grown in a computer-aided design-based, bio-inspired generative design system called 'Biohaviour'. This process is similar to plant growth, and the design's final configuration, shape, and size are informed by both the manufacturing capability and internal design stresses. The approach is demonstrated for overhang limit and build orientation and is extensible to any general situation. Graphical Abstract: