SFB 805: Control of Uncertainties in Load Carrying Systems in Mechanical Engineering

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Uncertainty occurs during the development of products and processes, as well as in all phases of the product life cycle. In 2014, for each new car, which was brought to the US market, approximately four already registered cars had to be recalled by the manufacturer. In Germany, three million new cars were registered and 1.5 million cars had to be rectified in the same year. Following the scientists of the Collaborative Research Centre (CRC) 805, uncertainty in the product and potential product defect arises if the corresponding process chains in the three product life cycle phases product development, production and usage cannot be determined to full extend.Thus, the CRC 805 deals with methods and technologies to describe, evaluate and control the propagation of uncertainty in a phased approach. The approach developed by the CRC 805 is based on three pillars. The first pillar consists of the terms, which have been developed and tested by the CRC 805. The methods form the second pillar. The focus is on non-parameterized linkage of uncertainty, robust optimization, robust design and scaling of uncertainty. The third pillar includes the technologies to describe and control uncertainty in production and usage. Here, the research focuses on a process- and usage-integrated identification of uncertainty with sensory components. The third funding period of the CRC 805 focuses on the control of ignorance as a common and important category of uncertainty. Engineering, mathematics and law cooperate interactively to analyze data-induced conflicts as an indication for model uncertainty, model uncertainty as cause of ignorance and resilience as a principle to control uncertainty. Thereby, resilience of systems and process chains is evaluated for deviations of system and process chain characteristics, which exceed the planned tolerance ranges. Since resilience requires the functions monitoring, reacting, learning and anticipating, the question on adaption of process chains and systems as well as the adaption of models and their re-use in the different phases of the product life cycle arises.