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Towards real-time physics-based variation simulation of assembly systems with compliant sheet-metal parts based on reduced-order models
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Russo, Mario Brandon, Greco, Alessandro, Gerbino, Salvatore and Franciosa, Pasquale (2022) Towards real-time physics-based variation simulation of assembly systems with compliant sheet-metal parts based on reduced-order models. In: International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing, Ischia, Italy, 1-3 Jun 2022. Published in: Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022 pp. 546-558. ISBN 9783031159275. doi:10.1007/978-3-031-15928-2_48 ISSN 2195-4356.
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WRAP-towards-real-time-physics-based-variation-simulation-assembly-systems-compliant-sheet-metal-parts-based-reduced-order-models-2022.pdf - Accepted Version - Requires a PDF viewer. Download (1125Kb) | Preview |
Official URL: https://doi.org/10.1007/978-3-031-15928-2_48
Abstract
Variation Simulation (VS) allows early validation and certification of the assembly process before parts are built. State-of-the-art VS models of assembly systems with compliant sheet-metal parts are based on Finite Element Method (FEM) integrated with statistical approaches (i.e., Monte Carlo simulation). A critical technical barrier is the intense computational cost. This paper proposes a novel real-time physics-based VS model of assembly systems with compliant sheet-metal parts based on Reduced-Order Model (ROM). Compared to the literature on the topic, this study reports the first application of a ROM, developed for VS by using both intrusive and non-intrusive techniques. The capability of the proposed method is illustrated in a case study concerning the assembly process of the vertical stabiliser for commercial aircrafts. Results have shown that the accuracy of ROM (based on proper orthogonal decomposition) depends on the sampling strategy as well as on the number of reduced modes. Whilst a large CPU time reduction by several orders of magnitude is achievable by non-intrusive techniques (based on radial basis functions for interpolation), intrusive models provide more accurate results compared to the full-order models.
Item Type: | Conference Item (Paper) | ||||||
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Alternative Title: | |||||||
Subjects: | Q Science > QA Mathematics Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Finite element method , Monte Carlo method , Sheet-metal -- Mathematical models | ||||||
Series Name: | Lecture Notes in Mechanical Engineering | ||||||
Journal or Publication Title: | Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022 | ||||||
Publisher: | Springer | ||||||
ISBN: | 9783031159275 | ||||||
ISSN: | 2195-4356 | ||||||
Official Date: | 25 September 2022 | ||||||
Dates: |
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Page Range: | pp. 546-558 | ||||||
DOI: | 10.1007/978-3-031-15928-2_48 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Copyright Holders: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG | ||||||
Date of first compliant deposit: | 11 July 2022 | ||||||
Date of first compliant Open Access: | 19 July 2022 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Ischia, Italy | ||||||
Date(s) of Event: | 1-3 Jun 2022 | ||||||
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