Case Study: Engine System Development

Schöffmann, Wolfgang; Sorger, Helfried; Faustmann, Clemens; Bajzek, Matthias

doi:10.1007/978-3-319-99629-5_17

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Key criteria for ICE optimization, efficiency considerations and therefore CO2 emission reduction are, for example, lightweight design and reduction of friction. This is realized by consequently improving mechanical efficiency, by using auxiliaries-on-demand, by further optimizing the combustion and by integrating more and more functions in designs (Schoeffmann et al 2020).…”

Section: Introductionmentioning

confidence: 99%

A concept for a digital thread based on the connection of system models and specific models

Bajzek

Faustmann

Krems

et al. 2021

INCOSE International Symp

Self Cite

View full text Add to dashboard Cite

This paper describes the concept of a method that uses an existing system model, that describes the system's functions, to select the most suitable models for development. The term model is understood to encompass models used during the development of systems that: have a certain degree of formalism, are digitizable, connectable and processable. The method describes how specific models that are required can be identified and how they could be connected. The method concept is explained using a well‐understood example taken from the development of automotive powertrains. After stating current challenges and problems in the development of complex systems in the automotive domain, a system cube is used as a structuring principle for models that describe certain system aspects such as structure and behavior. This concept acts as a starting point for the selection of the most suitable specific models allocated to system models based on the functional description of the considered system. Finally, the contribution of this research to the realization of a digital thread is discussed and future research topics are outlined.

show abstract

Section: Introductionmentioning

confidence: 99%