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    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2440/38932</link>
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        <rdf:li rdf:resource="http://hdl.handle.net/2440/77947" />
        <rdf:li rdf:resource="http://hdl.handle.net/2440/77819" />
        <rdf:li rdf:resource="http://hdl.handle.net/2440/77818" />
        <rdf:li rdf:resource="http://hdl.handle.net/2440/77786" />
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    <dc:date>2013-05-25T19:20:27Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/2440/77947">
    <title>Development of an adaptive quarter-wave tube attached to a large diesel engine</title>
    <link>http://hdl.handle.net/2440/77947</link>
    <description>Title: Development of an adaptive quarter-wave tube attached to a large diesel engine
Author: Craig, Richard Alexander; Howard, Carl Quentin
Abstract: An adaptive quarter-wave tube was developed for a large diesel engine that has the capability of tuning to variations in engine speed, exhaust gas temperature, and load on the engine. The system is robust to the diesel exhaust gas that reaches temperatures of over 450°C and contains soot. This paper describes the components of the system and some experimental results that demonstrate the effectiveness of the device, where noise reductions greater than 20dB were achieved.</description>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2440/77819">
    <title>Turbulent wake study of the NREL phase VI wind turbine in a virtual wind tunnel using Large Eddy Simulation</title>
    <link>http://hdl.handle.net/2440/77819</link>
    <description>Title: Turbulent wake study of the NREL phase VI wind turbine in a virtual wind tunnel using Large Eddy Simulation
Author: Choudhry, Amanullah; Mo, Jangoh; Arjomandi, Maziar; Lee, Young-Ho</description>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2440/77818">
    <title>Single-image attenuation corrections to facilitate instantaneous planar imaging of densely seeded particle-laden flows</title>
    <link>http://hdl.handle.net/2440/77818</link>
    <description>Title: Single-image attenuation corrections to facilitate instantaneous planar imaging of densely seeded particle-laden flows
Author: Cheong, Mei Chiin; Birzer, Cristian Heinrich; Lau, Timothy Chi Wan</description>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2440/77786">
    <title>Intelligent modeling of a piezoelectric tube actuator</title>
    <link>http://hdl.handle.net/2440/77786</link>
    <description>Title: Intelligent modeling of a piezoelectric tube actuator
Author: Mohammadzaheri, Morteza; Grainger, Steven Drummond; Bazghaleh, Mohsen; Yaghmaee, Pouria
Abstract: Various model-based control methods are currently used in control of piezoelectric tubes, others such as internal model control and model predictive control are anticipated to be employed soon. All these control systems are designed based on black box models. However, systematic black box modeling of piezoelectric tubes has been overlooked in the literature to a large extent or has been presented in a too brief and faulty way. In this article, a novel structure of artificial neural networks is used to model and to assess the nonlinearity of piezoelectric actuators. Apart from nonlinearity, other features of the achieved models like delay time, sampling time, orders as well as system identification process are clearly stated, and more importantly, it is clarified that different definitions of accuracy are needed for different purposes of black box modeling, with change in model features, the accuracy may decrease for one purpose (e.g. predictive control) and increase for another one (e.g. simulation). This highly critical point has never been raised and addressed in modeling of piezoelectric tubes, and a definition of accuracy which suits static systems/models has been widely used in the past to assess models of piezoelectric tubes which are obviously dynamic. Experimental results support the proposed modeling ideas.</description>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
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