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Multi-parameter synthesis of microsystems

Authors: Gino Rinaldi; Muthukumaran Packirisamy; Ion Stiharu;

Multi-parameter synthesis of microsystems

Abstract

Micro-electro-mechanical systems (MEMS) by definition are coupled electrical and mechanical microsystems. Additionally, microfabrication tolerances, device geometry and thermal effects, for example, will further cloud the performance characteristics. Hence, the consolidation of these individual parameters into a single output based upon "forward-step" modeling will allow for a complete performance characterization in a manner where changes to the static and dynamic outputs are monitored in a step wise fashion through the addition of the individual parameters separately. This deterministic approach aims to synthesize the "parameter-matrix" under which the microsystem is constrained, both by device design and by the eventual operating conditions. The theoretical modeling of the synthesized parameters into an output determinant would be a valuable design tool especially when targeting specific performance characteristics at the design stage of the microsystem that are tied to both the device design and operating conditions. This paper presents a method for microsystem performance modeling based on the solution of a parameter-matrix into a deterministically synthesized output response. The mathematical modeling is based upon the Rayleigh-Ritz energy method using boundary characteristic orthogonal polynomials. The synthesized output models the static and dynamic response of the step-forward addition of individual microsystem parameters, which when they have been evaluated can be used to specify design criteria under a given set of operating conditions. This analysis method will not only allow the designers of microsystems to determine the influence of intrinsic and extrinsic limitations and conditions, but also to establish viable MEMS platforms based on predetermined output performance characteristics.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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