Data Engineering for Data-Driven Design
Doktorsavhandling, 2025
Data Engineering
Design for Data
Design Evaluation
CAD/CAE Integration
Design Automation
Data-Driven Design
Författare
Mohammad Arjomandi Rad
Chalmers, Industri- och materialvetenskap, Produktutveckling
Correlation-based feature extraction from computer-aided design, case study on curtain airbags design
Computers in Industry,;Vol. 138(2022)
Artikel i vetenskaplig tidskrift
Image regression-based digital qualification for simulation-driven design processes, case study on curtain airbag
Journal of Engineering Design,;Vol. 34(2023)p. 1-22
Artikel i vetenskaplig tidskrift
Datasets in design research: needs and challenges and the role of AI and GPT in filling the gaps
Proceedings of the Design Society,;Vol. 4(2024)p. 1919-1928
Paper i proceeding
Towards Using Functional Decomposition and Ensembles of Surrogate Models for Technology Selection in System Level Design
Proceedings of the NordDesign 2024 Conference,;(2024)
Paper i proceeding
Beyond Traditional Computer-Aided Design Parameterization, Feature Engineering for Improved Surrogate Modeling in Engineering Design
Computer-Aided Design and Applications,;Vol. 22(2025)p. 536-554
Artikel i vetenskaplig tidskrift
Product Dataset Platform: System-Level Design Evaluation Using Feature Engineering and Functional Modeling, A Crashworthiness Case Study
Journal of Mechanical Design - Transactions of the ASME,;(2025)
Artikel i vetenskaplig tidskrift
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
Artificiell intelligens
ISBN
978-91-8103-221-5
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5679
Utgivare
Chalmers
Virtual development laboratory (VDL), Campus Johanneberg: Chalmers Tvärgata 4C
Opponent: Professor Amaresh Chakrabarti