Product Dataset Platform: System-Level Design Evaluation Using Feature Engineering and Functional Modeling, A Crashworthiness Case Study
Artikel i vetenskaplig tidskrift, 2025

Design space exploration at early and system-level phases often relies on low-fidelity, qualitative evaluations due to the prohibitive cost of high-precision methods. This research proposes an approach to bridge this gap by utilizing AI and modeling tools and leveraging existing datasets and detail-level analysis to enhance system-level decision making. Creating a platform of datasets is suggested by shared features for a product model hierarchy that mirrors the functional decomposition of the product architecture. This is achieved by integrating function-mean (FM) as an early design modeling tool with an assembly of datasets acquired from Finite Element (FE) as a higher fidelity concept evaluation tool. This is an effort to link the early functional space to the later response space. It is shown that training prediction models on datasets from low-level product architecture, which are more viable to obtain, enables design concept evaluation at the system-level. Moreover, by introducing a modular and radical change into product architecture, which represents new technologies that require performance evaluation, the built dataset platform is investigated. Finally, a metric to evaluate the platform’s success is suggested to increase reliability. As lower levels of product architecture often experience more frequent changes than system-wide modifications. This method can be effective in scenarios where component-level innovations require rapid performance evaluations. The implications of such a dataset platform can reduce the concept evaluation cost in early phases by accelerating the testing of innovations and ideas in product architecture.

Metamodeling

Car Crashworthiness

Systems Design

Data-Driven Design

Design Evaluation

Product Platform Design

Machine Learning

Conceptual Design

Författare

Mohammad Arjomandi Rad

Chalmers, Industri- och materialvetenskap, Produktutveckling

Julian Martinsson Bonde

Chalmers, Industri- och materialvetenskap, Produktutveckling

Ola Isaksson

Chalmers, Industri- och materialvetenskap, Produktutveckling

Massimo Panarotto

Maskinteknik, mekatronik och automatisering, teknisk design samt sjöfart och marin teknik

Kristina Wärmefjord

Chalmers, Industri- och materialvetenskap, Produktutveckling

Johan Malmqvist

Chalmers, Industri- och materialvetenskap, Produktutveckling

Journal of Mechanical Design - Transactions of the ASME

1050-0472 (ISSN)

Ämneskategorier (SSIF 2025)

Solid- och strukturmekanik

Farkost och rymdteknik

Mer information

Skapat

2025-04-27