An ontology-based knowledge management approach supporting simulation-aided design for car crash simulation in the development phase

Naouress Fatfouta (1) , Julie Stal Le-Cardinal (1)

1 LGI - Laboratoire Génie Industriel

In the automotive industry, the design process is both costly and time-consuming. This research focuses on improving the design process by mainly reducing time while producing more robust vehicles. Vehicle development is based on simulation; thus, the design process is referred to as simulation-aided design. Engineering design is highly collaborative and knowledge intensive. Therefore, knowledge management plays a crucial role in today's global economy and is essential for the competitiveness of companies. However, current research on engineering knowledge management focuses on either the codification or the personalisation approaches of knowledge management. Thus, this paper addresses an integrated and collaborative approach. This paper aims to develop an ontology-based knowledge management approach to support simulation-aided design, specifically car crash simulation. The knowledge management support system is designed to ensure the capture and retrieval of engineering knowledge and to enable collaboration between different stakeholders. An evaluation of the models and technologies used is also undertaken, based on use case scenarios.

Domaines: Autre

Naouress Fatfouta, Julie Stal Le-Cardinal. An ontology-based knowledge management approach supporting simulation-aided design for car crash simulation in the development phase. Computers in Industry, 2021, 125, pp.103344. ⟨10.1016/j.compind.2020.103344⟩. ⟨hal-03040230⟩