Towards Using Functional Decomposition and Ensembles of Surrogate Models for Technology Selection in System Level Design
Paper i proceeding, 2024

Technology selection as part of the complex system design process involves multiple teams focusing on different subsystems, which in turn brings on interoperability challenges, extends design evaluations, and complicates design cycles. Utilizing function-mean modeling and the ensemble of surrogate model techniques, the paper reveals how low-level input parameters in the design can be instrumental in predicting higher-level performance outcomes. Applying the suggested framework to a case study from the space industry, surrogates trained on system level and component levels in a flow management system are shown to be generalizable. Exploring the methods for aggregating surrogates into ensembles shows how such an assembly can be built and utilized for navigating through the early fuzzy phases of design.

TechnologySelection

Functional Modeling

Conceptual Design

Data-Driven Design

Surrogate Models

Product Architecture

Författare

Mohammad Arjomandi Rad

Chalmers, Industri- och materialvetenskap, Produktutveckling

Massimo Panarotto

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

Johan Malmqvist

Chalmers, Industri- och materialvetenskap, Produktutveckling

Julian Martinsson Bonde

Chalmers, Industri- och materialvetenskap, Produktutveckling

Kristina Wärmefjord

Chalmers, Industri- och materialvetenskap, Produktutveckling

Ola Isaksson

Chalmers, Industri- och materialvetenskap, Produktutveckling

DS 130: Proceedings of NordDesign 2024

NordDesign 2024
Reykjavik, Iceland,

Consortium for Hall Effect Orbital Propulsion System - Phase 2 covering LOW POWER needs

Europeiska kommissionen (EU) (EC/H2020/101004331), 2021-02-01 -- 2024-01-31.

Ämneskategorier (SSIF 2025)

Solid- och strukturmekanik

Farkost och rymdteknik

DOI

10.35199/NORDDESIGN2024.45

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Senast uppdaterat

2025-04-27