Generative Design is the automatic process of generating optimum feasible designs from a set of performance requirements and design rules. The generated organic designs can be printed using additive manufacturing. Generative Design is a fundamentally disruptive paradigm shift. Over the last 3000 years humans conceived a design and then built physical or virtual prototypes to evaluate the design’s performance requirements. Generative Design spawns designs that even experienced skilled practitioners couldn’t imagine. There is no preconceived geometry as a starting point. The geometric complexity of these designs can be handled by Additive manufacturing (AM). The challenge is how do we select the best design out of several hundreds of designs. Artificial Intelligence (AI) can use 3D deep learning technology to mix art and business with design. Deep learning shape detection can evaluate the artistic grade of a design. Neural networks can be trained from the large data bases of existing parts to compute the cost, life and performance of designs.
The current state, the research needs and required enhancements of the generative design tools will be outlined. The Generative Design tools of the near future will produce a tsunami of change in the design process. Examples of light weighting helicopter components using Generative Design, Lattice Structures and Additive Manufacturing will be presented. An example of how to select, design and simulate an architected lattice structure that has zero coefficient of thermal expansion will be also presented.
- Learn the list of available software tools for DfAM such as lattice structure generation and generative design and real-time simulation
- Get a pictorial overview of a taxonomy of lattice structures
- Learn how to use generative design tools to design for additive manufacturing