Generative design

Essentially, generative design is the next generation of product design and thus a pillar of digital transformation. The aim of this technology is to provide an optimal design for specific requirements. For this purpose, generative design makes use of artificial intelligence methods.

By introducing a wide variety of data (simulation data, customer data, ...) into the design process, the rational design skills of humans are further developed and expanded. This means that the customer's product requirements can be met precisely right from the start (increasing success rate) and the time-to-market can be reduced. This technology is particularly interesting in combination with additive manufacturing processes for optimising lightweight construction. The shapes created in this process would be inconceivable with the conventional approach. The reduced use of materials can also reduce the burden on the environment. Generative design is based on topology optimisation.

In the time it takes people to develop and test an idea, the computer can generate thousands of variants. The generated data of the variants is presented to the user. Thus, the user can choose the design that best fulfils the objectives. The user can simply enter the goals and parameters into the software.

Requirements for use

Software is required that supports generative design e.g.:

• Solidworks ParetoWorks
• Autodesk
• CATIA
• Siemens NX

For the calculations, bearing points, forces and spaces are defined in the industrial context. It should be noted that the material to be used also influences the output of the calculations. A material with a lower strength requires more material if the forces of attack remain the same. Some software providers have integrated the choice of manufacturing process into the generative design software. This means that a model is calculated that can also be produced on conventional production machines. This means that an additive manufacturing process does not necessarily have to be selected.