Consistent Multilevel Model Coupling and Knowledge Representation in Multidisciplinary Analysis and Design

 Project B4-2 addresses, in close collaboration with B4.1, the simulation-based design of a skin heat exchanger. The heat rejection system serves as a prototype for unexplored design configurations in new electric aircraft, which covers multiple and coupled disciplines as well as complex physics, data structures and models. We present new ideas for coupling multi-disciplinary data on different fidelity levels and for analyzing the propagation of errors and uncertainties in coupled problems. Moreover, semantic knowledge representations will be used to impose a semantic structure on the data and the models, which enables a more principled coupling. 

With this project, we aim to utilize this potential by integrating knowledge graphs into the KRATOS-based design workflow. Knowledge required and produced by simulations in multi-fidelity multidisciplinary design steps can be seemingly formalized and aligned to be interoperable at all times. We increase the efficiency of knowledge transfer between systems and projects by formalizing the knowledge assisted by tools and their access to large-scale knowledge graphs like WikiData. By removing the need for redundant knowledge specification, founding our progress on a literature survey on prior knowledge and it’s representation in aerospace engineering, we are heading to more sustainable knowledge flow, wherein each contributor simultaneously benefits from and beneficiates to the grander knowledge base.