Skip to Main Content
First industrial strength multi-axial Robotic testing campaign for composite material characterizationAuthor(s): John G. Michopoulos; John C. Hermanson; Athanasios Iliopoulos
Source: In: Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2012, August 12-15, 2012, Chicago IL, USA, DETC2012-71064.
Publication Series: Proceedings - Paper (PR-P)
Station: Forest Products Laboratory
PDF: Download Publication (7.08 MB)
DescriptionIn this paper we are reporting on the first successful campaign of systematic, automated and massive multiaxial tests for composite material constitutive characterization. The 6 degrees of freedom system developed at the Naval Research Laboratory (NRL) called NRL66.3, was used for this task. This was the inaugural run that served as the validation of the proposed overall constitutive characterization methodology. It involved accomplishing performing I152 tests in 12 business days reaching a peak throughput of 212 tests per day. We describe the context of the effort in terms of the reasoning and the actual methods behind it. Finally, we present representative experimental data and associated constitutive characterization results for representative loading paths.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationMichopoulos, John G.; Hermanson, John C.; Iliopoulos, Athanasios. 2012. First industrial strength multi-axial Robotic testing campaign for composite material characterization. In: Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2012, August 12-15, 2012, Chicago IL, USA, DETC2012-71064.
KeywordsMechatronic characterization, Material constitutive response, Automated characterization, Multidimensional loading spaces, Parameter identification, Data-driven characterization
- Data-driven design optimization for composite material characterization
- On the Constitutive Response Characterization for Composite Materials Via Data-Driven Design Optimization
- High performance data-driven multiscale inverse constitutive characterization of composites
XML: View XML