AI-assisted Design to Improve Devices Design


High-added-value products in fields such as electronics, mechatronics, energy, and related fields (such as renewable energies, advanced sensors, MEMs, and optoelectronic devices, among others) are incredibly complex. This is because their nature involves subsystems of a diverse type: electronic, mechanical, optical, etc. limited to the possibilities of the designer. On the other hand, the requirements of tolerances and manufacturing specifications are increasingly demanding. Additionally, in the case of, for example, devices for biomedical use, the requirements of regulatory bodies are increasingly demanding. Currently, approaches that use artificial intelligence paradigms to guide design innovation processes can be found in the scientific literature. A new paradigm that we could call “AI-aided design” (AAD) is being born. The idea of ​​this paradigm is to explore, through the so-called evolutionary computation (sometimes called in a reductionist way Genetic Algorithms) the spaces of possible solutions for improving a design, achieving a balance between innovation capacity and market placement. design competitively. The use of this paradigm for the optimization of designs in fluid propulsion and magnetic levitation subsystems in the case of a cardiac assist device is presented. The paradigm is likely to be used in numerous areas within the design of complex products, including the consideration of exploration in the aesthetic field.


Juan Luis Crespo Mariño
Professor and Researcher, Department of Mechatronics Engineering, Tecnológico de Costa Rica, Cartago, Costa Rica


Presentation Type

Innovation Showcase


2023 Special Focus—New Agendas for Design: Principles of Scale, Practices of Inclusion


Artificial Intelligence, Assisted Design, Complex Product Design, Engineering Design

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