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    Using Shape Memory Alloys: A Dynamic Data Driven Approach

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    Name:
    1-s2.0-S1877050913004961-main.pdf
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    Description:
    Main article
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    Type
    Conference Paper
    Authors
    Douglas, Craig C.
    Calo, Victor M. cc
    Cerwinsky, Derrick
    Deng, Li
    Efendiev, Yalchin R. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Earth Science and Engineering Program
    Numerical Porous Media SRI Center (NumPor)
    Physical Science and Engineering (PSE) Division
    Date
    2013-06-01
    Online Publication Date
    2013-06-01
    Print Publication Date
    2013
    Permanent link to this record
    http://hdl.handle.net/10754/552449
    
    Metadata
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    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 turn 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.
    Citation
    Using Shape Memory Alloys: A Dynamic Data Driven Approach 2013, 18:1844 Procedia Computer Science
    Publisher
    Elsevier BV
    Journal
    Procedia Computer Science
    Conference/Event name
    13th Annual International Conference on Computational Science, ICCS 2013
    DOI
    10.1016/j.procs.2013.05.353
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S1877050913004961
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.procs.2013.05.353
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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