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Multi-physics modelling for the fabrication, packaging and reliability of micro-systems components

Multi-physics modelling for the fabrication, packaging and reliability of micro-systems components

Bailey, Christopher, Stoyanov, Stoyan, Tang, Ying Kit, Xue, Xiangdong and Tilford, Tim (2008) Multi-physics modelling for the fabrication, packaging and reliability of micro-systems components. In: Schrefler, B.A. and Perego, U., (eds.) 8th World Congress on Computational Mechanics (WCCM8) and 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), 30 June - 4 July 2008, Venice, Italy. International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Spain. ISBN 978-84-96736-55-9

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Abstract

The latest advances in multi-physics modelling both using high fidelity techniques and reduced order and behavioural models will be discussed. Particular focus will be given to the application and validation of these techniques for modelling the fabrication, packaging and subsequent reliability of micro-systems based components. The paper will discuss results from a number of research projects with particular emphasis on the techniques being developed in a major UK Goverment funded project - 3D-MINTEGRATION (www.3d-mintegration.com).

Item Type: Book Section
Additional Information: This paper was a Keynote Lecture at a Minisymposium (one of c.170 which took place) and forms part of the overall Proceedings of the 8th World Congress on Computational Mechanics (WCCM8) and 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), which took place 30 June - 4 July 2008, in Venice, Italy.
Uncontrolled Keywords: microsystems, multi-physics, optimisation, uncertainty analysis, reduced order models, reliability
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1216

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