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Data from: Methodology for comparing wood adhesive bond load transfer using digital volume correlation Public Deposited

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Abstract
  • There is a lack of fundamental knowledge about the role which adhesive flow and infiltration plays in the micro-mechanical performance of wood adhesive bonds. This data set, for the first time, provides a way to study directly the relationship between adhesive flow and the micro-mechanics of wood adhesive bonds. Specimens of three species: loblolly pine (*Pinus taeda*), Douglas-fir (*Pseudotsuga menziesii*), and hybrid poplar (*Populus deltoides x Populus trichocarpa*); and bondlines of three types: earlywood-earlywood, earlywood-latewood, and latewood-latewood were bonded. An iodinated phenol formaldehyde adhesive was formulated to provide x-ray attenuation contrast between the wood cell material and the adhesive. The specimens were cut into single lap-shear specimens with an approximate 2 mm x 2 mm cross-section and 5 mm overlap. These specimens were then mechanically loaded and scanned in a step-loading procedure at the 2-BM beamline at the Advanced Photon Source at Argonne National Laboratory. For a more detailed description of the procedures used to generate this data. Consult “Methodology for comparing wood adhesive bond load transfer using digital volume correlation”. A free version of this manuscript will always be available in the dissertation of Daniel J. Ching through the Scholars Archive at Oregon State University.
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  • Ching, D.J.; McKinley, P.E.; Kamke, F.A.; Zauner, M.; Xiao, X. (2018) Data from: Methodology for comparing wood adhesive bond load transfer using digital volume correlation. Oregon State University. Dataset. https://doi.org/10.7267/N9QV3JQF
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  • This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357.
  • This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number OREZ-WSE-589-U, and McIntire Stennis project OREZ-WSE-853-U.
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  • 2018-03-16 to 2018-03-30

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