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dc.contributor.authorDouglas, C.
dc.contributor.authorCalo, Victor
dc.contributor.authorCerwinsky, D.
dc.contributor.authorDeng, L.
dc.contributor.authorEfendiev, Y.
dc.date.accessioned2017-03-24T11:53:16Z
dc.date.available2017-03-24T11:53:16Z
dc.date.created2017-03-23T06:59:54Z
dc.date.issued2013
dc.identifier.citationDouglas, C. and Calo, V. and Cerwinsky, D. and Deng, L. and Efendiev, Y. 2013. Using shape memory alloys: A dynamic data driven approach. Procedia Computer Science. 18: pp. 1844-1850.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51445
dc.identifier.doi10.1016/j.procs.2013.05.353
dc.description.abstract

Shape Memory Alloys (SMAs) are capable of changing their crystallographic structure due to changes of either stress or temperature. SMAs are used in a number of aerospace devices and are required in some devices in exotic environments. We are developing dynamic data driven application system (DDDAS) tools to monitor and change SMAs in real time for delivering payloads by aerospace vehicles. We must be able to tum on and off the sensors and heating units, change the stress on the SMA, monitor on-line data streams, change scales based on incoming data, and control what type of data is generated. The application must have the capability to be run and steered remotely as an unmanned feedback control loop. © 2013 The Authors. Published by Elsevier B.V.

dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.titleUsing shape memory alloys: A dynamic data driven approach
dc.typeConference Paper
dcterms.source.volume18
dcterms.source.startPage1844
dcterms.source.endPage1850
dcterms.source.issn1877-0509
dcterms.source.titleProcedia Computer Science
dcterms.source.seriesProcedia Computer Science
curtin.note

Paper presented at 2013 International Conference on Computational Science

curtin.departmentDepartment of Applied Geology
curtin.accessStatusOpen access


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