3D printing in military contexts: faster and more cost-effective

How Fraunhofer EMI uses generative algorithms to create efficient engineering designs and solve complex design problems.

Automated tools for design, simulation and optimization are indispensable in modern engineering today. One example of this are generative algorithms such as topology optimization, which can automatically create efficient construction designs. Fraunhofer EMI uses innovative software solutions and specialized research services to solve complex design problems.

 

Use of intelligent algorithms in component design

Intelligent algorithms can overcome the limitations of traditional design methods. Fraunhofer EMI uses these technologies to efficiently tackle multidisciplinary problems such as vibration behavior, energy absorption or thermal conductivity. The use of generative algorithms makes it possible to find the right balance between mass, performance and robustness.

 

AI-supported concept design

In the early phase of product development, AI-supported methods help to solve multi-objective problems. Fraunhofer EMI combines AI models, which show their strengths in variant generation, with numerical and analytical approaches to develop functional, sustainable and cost-optimized solutions. Although solving partial differential equations is challenging, AI-supported methods offer enormous potential.

 

Expert solutions as a service

Fraunhofer EMI offers comprehensive services ranging from consulting to implementation and training. These services support the use and automation of specialized workflows as well as specific use cases where standard tools are not sufficient.

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Generative design for components of the ERNST nanosatellite: Multidisciplinary requirements are the rule for space hardware.