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Webinar: Development of Self-Regulating Variable-Geometry Radiators with SIMULIA

September 1, 2016

Upcoming Webinar | Thursday 22nd September, 2.00pm (UK) | Register Now

This webinar discusses a custom approach developed to enable SIMULIA analysis of radiating bodies experiencing large-scale deformations as a result of thermal evolutions. The application is the development of self-regulating variable-geometry radiators for manned spacecraft, whereby the inherent non-linear thermal-mechanical coupling of shape memory alloys provides the underlying morphing mechanism. The use of UMATs, custom Python scripting, automated restart analysis, and a number of other advanced SIMULIA topics were leveraged for this research effort and will be discussed. Developments motivate the consideration of a possible SIMULIA enhancement for future releases.

Attendees of the webinar will learn:

  • How a strongly coupled multi-physics analysis problem can be iteratively de-coupled to allow solution by existing and perhaps limited SIMULIA modules.
  • How scripting can be used to enable the analysis of radiating bodies that requires not only view factor (cavity radiation) calculations but that also experience geometric evolution over time.
  • How simple pipe flow heat transfer can be additionally integrated into the morphing radiator body problem to allow the preliminary consideration of thermal management systems with fluid loops.
  • How the use of SIMULIA's user material subroutines (UMATs) and Python scripting in general can greatly broaden its applicability to a very wide range of problems in solid and fluid mechanics.

This webinar is a must attend for:

  • Graduate students and other academic researchers interested in non-linear or custom material or geometric effects.
  • SIMULIA users and interested in advanced thermal-mechanical coupled problems that consider radiating bodies.
  • Practicing engineers and SIMULIA users interested in learning more about the capabilities of Python scripting.

Register Now

About the Presenter: Dr. Darren J. Hartl, Assistant Professor, Department of Aerospace Engineering, Texas A&M University

Darren J. Hartl received his BS in Aerospace Engineering in 2004 and Ph.D. in Aerospace Engineering in 2009, both from Texas A&M University. After two years with joint appointments at the Air Force Research Laboratory (AFRL) in the Materials and Manufacturing Directorate and Aerospace Systems Directorate, he has recently joined the faculty of the Aerospace Engineering Department at Texas A&M as an Assistant Professor. In this role, he mentors seven graduate students, three of them selected for national fellowships. Darren has over 14 years of experience working with shape memory alloys and morphing structures and his efforts have included both experimental and theoretical studies. Since 2006, Darren has co-authored 108 technical publications (including three textbook chapters) on the topics of active materials modeling, testing, and integration into morphing structures. He has given over 23 invited talks or seminars (8 international), and has taught short courses on SMA theories in the US and Europe. Since 2014, he has served as an Associate Editor for the Journal of Intelligent Material Systems and Structures. He was recently selected as the 2016 recipient of the ASME Gary Anderson Early Achievement Award..