This roundtable discussion will explore the power of computational design in promoting sustainable development. We’ll provide practical knowledge of the tools and techniques used to implement circular design principles, and we’ll evaluate the ethical and social implications of using data analytics and modeling to evaluate the environmental impact of design decisions. This topic highlights the importance of resource conservation and regeneration and promotes a more sustainable future. The concept of the circular economy has gained momentum in recent years as a more sustainable and efficient model for resource use. In this context, computational design has emerged as a key enabler of the circular economy by optimizing material usage and reducing waste.
Generative design is a powerful tool that requires technical knowledge that doesn’t necessarily align with how designers work. This class will explore four key strategies for integrating generative design into product and industrial design: 1) Understanding best practices for setting up a generative design study, and determining how much modeling work is needed prior to running the study. 2) Obtaining outcomes that align with the design’s original vision. It’s common to see designers grow frustrated as they run several studies that create shapes that are unusable as actual components of a product. 3) Understanding in practical terms details related to forces, constraints, and other technical information that is not commonly used in product design, and that might affect the effectiveness of the generative outcomes. 4) Understanding how to best merge generative design geometry with other components that have been modeled directly in Fusion 360 software.