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William P. Eaton
Researcher at Sandia National Laboratories
Publications - 18
Citations - 1269
William P. Eaton is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Pressure sensor & Surface micromachining. The author has an hindex of 13, co-authored 18 publications receiving 1227 citations.
Papers
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Journal ArticleDOI
Micromachined pressure sensors: review and recent developments
William P. Eaton,James H. Smith +1 more
TL;DR: In this paper, the authors reviewed the history of micromachined pressure sensors and examined new developments in the field of pressure sensors, starting from metal diaphragm sensors with bonded silicon strain gauges, and moving to present developments of surface-micromachines, optical, resonant, and smart pressure sensors.
Patent
Capacitance pressure sensor
TL;DR: A microelectromechanical (MEM) capacitance pressure sensor integrated with electronic circuitry on a common substrate and a method for forming such a device are disclosed in this article.
Proceedings ArticleDOI
Challenges in the packaging of MEMS
TL;DR: The challenges of MEMS packaging have been known for some time, but little open research has been done to collect data and work toward meeting these challenges as mentioned in this paper, which is the main reason for the lack of open research.
ReportDOI
MEMS Reliability: Infrastructure, Test Structures, Experiments, and Failure Modes
Danelle M. Tanner,Norman F. Smith,Lloyd W. Irwin,William P. Eaton,Karen Sue Helgesen,J. Joseph Clement,William M. Miller,Samuel L. Miller,Michael T. Dugger,Jeremy A. Walraven,Kenneth A. Peterson +10 more
TL;DR: In this article, a predictive reliability model for wear of polysilicon rubbing surfaces in microengines was developed and the root causes of failure for operating and non-operating MEMS were discussed.
Proceedings ArticleDOI
The effect of humidity on the reliability of a surface micromachined microengine
Danelle M. Tanner,Jeremy A. Walraven,Lloyd W. Irwin,Michael T. Dugger,Norman F. Smith,William P. Eaton,William M. Miller,Samuel L. Miller +7 more
TL;DR: In this article, the volume of wear debris generated is a function of the humidity in an air environment, and the dominant failure mechanism has been identified as wear in polysilicon micromachines.