Dr. Richard V. Beblo
Student at Univ of Dayton Research Institute
SPIE Involvement:
Profile Summary

Richard Beblo, Lisa Mauck Weiland; Using Multiscale Modeling to Predict Material Response of Polymeric Materials; SMASIS 2009; #1333; September 20-24, 2009; Oxnard, California

Richard Beblo, Korey Gross, Lisa Mauck Weiland; Experimentally Populated Model for Shape Memory Polymer; under review by the Journal of Intelligent Material Systems and Structures

Richard Beblo, Lisa Mauck Weiland; Light Activated Shape Memory Polymer Characterization; Journal of Applied Mechanics; vol. 76; #11008; January 2009

Richard Beblo, Lisa Mauck Weiland; Multiscale Modeling of Light Activated Shape Memory Polymer; SMASIS 2008; #345; October 28-30, 2008; Ellicott City, Maryland

Richard Beblo, Lisa Mauck Weiland; Strain induced anisotropic properties of shape memory polymer; Smart Materials and Structures; vol. 17; September 2008

Richard Beblo, Lisa Mauck Weiland, Ernie Havens, Robert Schueler, Emily Snyder, Tat Tong; Light Activated Shape Memory Polymer Characterization Challenges and Strategies; SAMPE 2007; October 29 – November 1, 2007; Cincinnati, Ohio

Richard Beblo, Lisa Mauck Weiland; Polymer Chain Alignment in Shape Memory Polymer; ASME-IMECE 2006; #13703; November 5-10, 2006; Chicago, Illinois

Publications (3)

Proceedings Article | 22 March 2018
Proc. SPIE. 10596, Behavior and Mechanics of Multifunctional Materials and Composites XII
KEYWORDS: Cameras, Control systems, 3D modeling, Liquid crystals, Digital image correlation, Aluminum, Analytical research, Statistical modeling, Temperature metrology, Protactinium

Proceedings Article | 10 April 2017
Proc. SPIE. 10172, A Tribute Conference Honoring Daniel Inman
KEYWORDS: Matrices, Analytical research, Velocity measurements, Neurons

Proceedings Article | 1 April 2009
Proc. SPIE. 7290, Industrial and Commercial Applications of Smart Structures Technologies 2009
KEYWORDS: Mechanics, Polymers, Molecules, Computer simulations, Monte Carlo methods, Solids, Material characterization, Statistical modeling, Systems modeling, Shape memory polymers

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