Generative design integration into current industrial workflows

Today, modern production relies on computer-aided design and manufacturing (CAD and CAM), optimisation and ergonomics tools, PDM and/or PLM systems for data management and IA & machine learning for automation. However, innovation is progressing with the integration of GD (Generative Design), which uses algorithms and artificial intelligence to generate solutions based on specific constraints. This process goes beyond human capabilities by proposing several optimised solutions, exploring different materials and resources. In industrial workflows, GD therefore has the effect of reducing production costs and improving the efficiency of engineers' work. Tools such as Siemens NX CAD software facilitate their integration into industrial workflows, particularly for additive manufacturing for example with Siemens NX Design for Additive Manufacturing.

Method and operating mode of generative design in current industrial workflows

By determining the most efficient shape according to materials and constraints, the GD provides solutions to all sectors for designing optimised parts & products, here is a non-exhaustive list:

• Aerospace: reducing the weight of components.
• Automotive: design of lightweight, robust parts.
• Architecture: design of complex, aesthetic and cost-effective structures.
• Medical: design of customised prostheses.

Impacts of generative design integration in industrial workflows

GD is implemented via a simple workflow. Here's a list of the benefits it brings to your projects:

• Eco-friendly production: reduced material consumption and topological optimisation.
• Optimised designs based on objectives such as cost and minimum weight.
• New opportunities for modern creativity that goes beyond human vision: production of a wide range of iterations.
• Acceleration of the production process: cost reduction and time saving.
• Continuous learning and real-time adjustment to the industry's changing needs and constraints thanks to machine learning.

From generative design to manufacturing

Generative design integrates seamlessly into the additive manufacturing process. The complexity of parts and products resulting from generative iterations is not a hindrance, thanks to the flexibility of 3D printing and the wide range of processes offered by additive manufacturing. These models can then be integrated into assembly models. However, this dependence on additive manufacturing processes limits its potential. To fully exploit generative design, it is essential to develop innovative manufacturing technologies and methods that do not rely exclusively on additive manufacturing. This would enable more flexible roll-out across a range of industries, while preserving the benefits of GD without technological constraint.