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3 results found
A historical and technical overview of a paradigm for automating research procedures on the area of constitutive identification of composite materials is presented. Computationally controlled robotic, multiple degree-of-freedom mechatronic systems are used to accelerate the rate of performing data-…
Author(s): John G. Michopoulos, John C. Hermanson, Tomonari Furukawa
Keywords: Forest products industry, automation, forest products research, mechatronic characterization, material constitutive response, automated characterization, multidimensional loading spaces, parameter identification, data-driven characterization, technological innovations, mathematical models, industrial robots, automatic machinery, composite materials, testing, deterioration, accelerated life testing, robotics, automation, accelerated testing
Source: Composite structures. Vol. 86, nos. 1-3 (2008): Pages 154-164.
Year: 2008
The need for accurate and rapid field identification of wood to combat illegal logging around the world is outpacing the ability to train personnel to perform this task. Despite increased interest in non-anatomical (DNA, spectroscopic, chemical) methods for wood identification, anatomical…
Author(s): John C. Hermanson, Alex C. Wiedenhoeft
Keywords: Machine vision, wood identification, illegal logging, endangered species, pattern recognition, wood anatomy, image analysis, endangered plants, computer vision, image processing, automatic machinery, wood inspection, logging, law enforcement, optical equipment, optical instruments
Source: IAWA journal. Vol. 32, no. 2 (2011): p. 233-250.
Year: 2011
We present advances on the development of a mechatronically and algorithmically automated framework for the data-driven identification of constitutive material models based on energy density considerations. These models can capture both the linear and nonlinear constitutive response of multiaxially…
Author(s): J.G. Michopoulos, John Hermanson, T. Furukawa, A. Iliopoulos
Keywords: Composite materials, testing, mathematical models, forest products industry, automation, technological innovations, industrial robots, automatic machinery, deterioration, mechanical properties, robotics, algorithms, computer simulation, force, energy, inverse method, multi-axial loading, energy density, data-driven, constitutive behaviour, material characterization, progressive damage
Source: 17th International Conference on Composite Materials, 2009 July 27-31, Edinburgh, UK. [Oxford] : Elsevier Ltd., c2010: [2] p.
Year: 2010