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Modelling and process capability analysis of focused ion beam

Modelling and process capability analysis of focused ion beam

Stoyanov, Stoyan, Tang, Ying Kit, Bailey, Christopher, Evans, Robert, Marson, Silvia and Allen, David (2009) Modelling and process capability analysis of focused ion beam. ISSE 2009: 32nd International Spring Seminar on Electronics Technology: Hetero System Integration, the path to New Solutions in the Modern Electronics - Conference Proceedings. IEEE Computer Society, Piscataway, NJ USA. ISBN 97814244 42607 (Print) (doi:10.1109/ISSE.2009.5206925)

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Abstract

Focused Ion Beam (FIB) machining is a dynamic process whereby atoms can be removed from the surface of
a substrate by an accelerated stream of ions, focused into a small area purely by electronic and electrical control. In the
fabrication of 3D features such as miniaturised objects, masks and moulds for various microsystems, the control of the
depth variation is a critical parameter. A modelling framework integrating computational models for simulation of the FIB milling of predefined shapes, risk analysis, process capability and optimisation that can aid the optimal control of key process parameters is developed and demonstrated. The modelling methodology is based on numerical techniques for discretisation of the FIB process governing equations, statistical analysis, reduced order modelling through response surface approach and non-gradient numerical optimisation.

Item Type: Book Section
Additional Information: This paper forms part of the published proceedings from ISSE 2009: 32nd International Spring Seminar on Electronics Technology: Hetero System Integration, the path to New Solutions in the Modern Electronics May 13, 2009 - May 17, 2009 Brno, Czech republic
Uncontrolled Keywords: computational models
Subjects: Q Science > QA Mathematics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
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: 12 Jul 2018 12:42
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4497

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