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SUMMARY:WW-Colloquium: Inaugural Lecture PD Dr. Frank Wendler\, Simula
 tion of thermomechanically coupled loading problems for shape memory a
 lloy devices
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 000000100000004013D5901B54CD44A8D24C6E3E1A44DD
DESCRIPTION:PD Dr. Frank Wendler Materials Simulation\, Department of 
 Materials Science and Engineering\, FAU Simulation of Thermomechanical
 ly Coupled Loading Problems for Shape Memory Alloy Devices Shape memor
 y alloys (SMAs) have been established in various fields from aerospace
  engineering\, biomedicine and microsystem technology for highly speci
 alized applications in actuation\, creep-free clamping and connectors 
 and vibration damping. Their exceptional properties relate to a fully 
 reversible structural phase transition that enforces a highly nonlinea
 r thermomechanical coupling\, leading to well-known effects like one-w
 ay shape memory effect\, superelasticity and elastocaloric self-heatin
 g/cooling. Despite more than three decades of research and modeling ef
 forts\, this material class is still a non-standard case in material s
 imulation\, and often only marginally captured in commercial material 
 simulation software. In the talk\, two different modeling approaches i
 ncluding their application cases are presented\, with a focus on polyc
 rystalline materials and micro systems: First\, a model that bases on 
 thermally activated kinetics is developed and applied to dynamic loadi
 ng cases. Here\, examples for passive and active damping and vibration
  control of Ti-Ni(-Fe) micro thin film bridges are given. Second\, for
  capturing large deformation and nonlinear effects for systems compose
 d of slender SMA beams a model in analogy to J2-plasticity is designed
 . This is applied to a micro-origami meta-material that is capable of 
 shape changes driven by Joule-heated SMA bending actuators. Furthermor
 e\, application of this simulation approach to design SMA-based restor
 ations in dental prosthetics and implants is shown. As a an outlook\, 
 we show how new classes of SMAs\, new production processes and related
  certification of product life necessitate extensive quantitative simu
 lations\, based on models automatically adapted to experimental data.
DTSTART:20260616T140000Z
DTEND:20260616T160000Z
LOCATION:H14/Zoom
DTSTAMP:20260624T051238Z
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