2016
DOI: 10.4028/www.scientific.net/msf.879.1588
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Texture Characterization of Stainless Steel Cladded Layers of Process Vessels

Abstract: In this study local texture of process vessels made of carbon steel cladded by protective layers of stainless steel by submerged arc welding (SAW) were investigated by neutron diffraction using the diffractometer STRESSSPEC at FRM 2 (Garching, Germany). Different samples were prepared: as welded and as welded plus relevant industrial heat treatment. Local texture measurements with a gauge volume of 3 x 3 x 2 mm3 of the three cladding layers (at depths of 2 mm, 5 mm and 7.5 mm) for each sample were determined. … Show more

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Cited by 5 publications
(15 citation statements)
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“…Two model settings were considered: (a) a free model ε(z) curve determined by six (z j , ε j ) nodes, and (b) a model, where the strain at the surface was constraint to the value derived from the XRD measurement with the remaining values down to 15 mm depth being freely adjustable parameters as in the previous case. It is worth noting that the experimental error bars are not derived from the fitting uncertainties of peak positions alone, but were calculated considering extra random uncertainty contribution from the grain size statistics due to the coarse grain nature of the weld material [39]. Very good agreement of the fits with the experimental data was achieved in both cases; however, the respective deconvoluted (intrinsic) strain profiles shown in Fig.…”
Section: Neutron Diffractionmentioning
confidence: 80%
“…Two model settings were considered: (a) a free model ε(z) curve determined by six (z j , ε j ) nodes, and (b) a model, where the strain at the surface was constraint to the value derived from the XRD measurement with the remaining values down to 15 mm depth being freely adjustable parameters as in the previous case. It is worth noting that the experimental error bars are not derived from the fitting uncertainties of peak positions alone, but were calculated considering extra random uncertainty contribution from the grain size statistics due to the coarse grain nature of the weld material [39]. Very good agreement of the fits with the experimental data was achieved in both cases; however, the respective deconvoluted (intrinsic) strain profiles shown in Fig.…”
Section: Neutron Diffractionmentioning
confidence: 80%
“…The experiments of welding pressure vessel steel plate with stainless steel cladded layers were conducted by Rebelo Kornmeier [1]. The samples were made from an EN 10028-3 (P355 NH) carbon steel plate of 20 mm thickness.…”
Section: Methodsmentioning
confidence: 99%
“…The three main directions, longitudinal (LD), transverse (TD) and normal (ND), of the welding plates were represented in Figure 1 (a). After texture measurements and orientation distribution functions (ODFs) calculation using the measured complete pole figures with harmonic series expansion method, with the calculated C-coefficients, the tri-axial Young modulus were calculated using Cub_PHY program based on a cluster model [1]. The Young modulus (local and bulk) values of all samples were plotted in Figure 1 (b~d) for the different directions and the different layers.…”
Section: Methodsmentioning
confidence: 99%
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“…Nevertheless, both diffraction methods may still be very localized, especially when coarse grain materials must be analyzed, such as in this study, concerning welds of austenitic steels, with dendrites spanning several millimeters. Large grain size or the crystallographic texture of the material make it difficult to quantify residual stresses, either by XRD [8] or using neutron diffraction [9]. Another big issue using the neutron diffraction method is the determination of the reference value.…”
Section: Introductionmentioning
confidence: 99%