The design phase is the most important phase in a product’s lifecycle. All crucial properties are determined then. Design has a major impact on the costs, on quality and on the market success. Designs have to fulfill several, often contradicting requirements: First of all, a product must take technical considerations such as production constraints, costs, physical properties and material characteristics and availability into consideration. Second, aspects such as creativity, novelty and user acceptance play a crucial role. The resolution of contradictions is accompanied by a high degree of uncertainty, which results from different unknown dependencies and probabilities. Artificial Intelligence (AI) has the potential to contribute to these challenges. Current advances in AI such as deep learning or symbolic neuronal architectures have the potential to support the design engineer in the entire product development process. The utilization of AI methods can not only help relieving design engineers from tedious work in routine design, it can also lay the foundation for innovative or creative design, as well as significantly shorten development times. Furthermore, existing information and historical data from previous design projects represent a possible potential for future smart assistance systems.
Letzte Änderung: 31. March 2021