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Control Engineering in Materials Processing II
Description:
Volume is indexed by Thomson Reuters BCI (WoS).
The special topic volume with invited papers covers works implementing the Control Theory to materials processing, especially the field of putting materials properties to its better use in manufacturing processes. Instead of only using principles of control theory for materials, researchers use phenomena arising in materials for control purposes. In this topic book most considerations are focused on the group of “Smart Materials” ie. Shape Memory Alloys (SMA) or Piezoelectrics.
The special topic volume with invited papers covers works implementing the Control Theory to materials processing, especially the field of putting materials properties to its better use in manufacturing processes. Instead of only using principles of control theory for materials, researchers use phenomena arising in materials for control purposes. In this topic book most considerations are focused on the group of “Smart Materials” ie. Shape Memory Alloys (SMA) or Piezoelectrics.
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Info:
eBook:
ToC:
Editors:
Andrzej Kot
THEMA:
TGM
BISAC:
TEC021000
Keywords:
Diagnostics, EEG Signal, Electromechanical Transducer, Energy Harvesting, Fractional Calculus, Fractional-Order Controller, Long Cables, Magnetorheological Fluid, Model Testing, MR Damper, Numerical Calculations, PID, Pressure Drop, Pyrometer, Rope Diagnostics, Shape Memory Alloy (SMA), Simulation, Smart Truss, Type-2 Fuzzy Logic System, Vibration
Details:
Special topic volume with invited peer reviewed papers only.
Pages:
212
Year:
2014
ISBN-13 (softcover):
9783037858554
ISBN-13 (CD):
9783037955635
ISBN-13 (eBook):
9783038262367
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Review from Ringgold Inc., ProtoView:
Mechanical engineers discuss the role of control engineering in processing materials, especially in manufacturing contexts. Among the topics are wave packets as a model of localized disturbances propagating along cables, a system for measuring a child's foot pressure on a shoe sole, laboratory research on energy harvesting of ionic polymer metal composites, predicting the shape of non-ferrous pipe elements processed by electro-dynamic forming, and analyzing the dependence between stress change and resonance frequency for self-excited acoustical systems.