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Reduced order modelling for risk mitigation in design of miniaturised/integrated products

Reduced order modelling for risk mitigation in design of miniaturised/integrated products

Stoyanov, Stoyan ORCID: 0000-0001-6091-1226, Rajaguru, Pushpa ORCID: 0000-0002-6041-0517, Tang, Ying Kit, Bailey, Chris ORCID: 0000-0002-9438-3879, Claverley, James and Leach, Richard (2010) Reduced order modelling for risk mitigation in design of miniaturised/integrated products. In: ISSE 2010 - 33rd International Spring Seminar on Electronics Technology: Polymer Electronics and Nanotechnologies: Towards System Integration - Conference Proceedings. IEEE Computer Society, Piscataway, USA, pp. 402-407. ISBN 9781424478491 (print), 9781424478507 (online) (doi:https://doi.org/10.1109/ISSE.2010.5547362)

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Abstract

A numerical modelling methodology for the embodiment design of three-dimensional miniaturised/integrated products is developed and demonstrated. The focus is on the numerical techniques and methods that underpin the development of reduced order models (ROMs). These models are used together with methods for estimating variations in performance/quality characteristics and probabilistic optimisation to aid sensitivity, product capability and risk mitigation analyses. The numerical techniques comprising the design methodology are demonstrated with examples related to the design of a novel three-dimensional vibrating micro-probe.

Item Type: Conference Proceedings
Title of Proceedings: ISSE 2010 - 33rd International Spring Seminar on Electronics Technology: Polymer Electronics and Nanotechnologies: Towards System Integration - Conference Proceedings
Additional Information: This paper forms part of the published proceedings from 33rd International Spring Seminar on Electronics Technology: Polymer Electronics and Nanotechnologies: Towards System Integration, ISSE 2010 May 12, 2010 - May 16, 2010 Warsaw, Poland
Uncontrolled Keywords: three-dimensional miniaturised products, reduced order models, micro-probe
Subjects: Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 13 Mar 2019 11:33
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/4503

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