Effect of Lüders Bands by Strain Ageing on Strain Distribution, Microstructure and Texture Evolution of High-Strength Pipe Steel

doi:10.1007/s40195-020-01148-3

Abstract

Abstract:

In this study, the high-strength pipe steel, i.e. X80, was heated at 260 °C for half an hour followed by air cooling for thermal simulation of pipe coating process. During the uniaxial loading of the specified tension samples, the migration behaviour of Lüders bands and the re-distribution of stress after strain ageing heat treatment were investigated using digital image correlation. Digital image correlation was adopted to characterise the local axial and shear strain fields of samples that were extracted from different locations across the wall thickness of the high-strength pipe steel, and electron backscatter diffraction was used to compare the evolution of crystallographic texture among these locations. Other characterisation methods regarding microstructure and mechanical properties were conducted meanwhile, including optical microscopy, scanning electron microscopy and X-ray diffraction to accurately define the detailed performances that strain ageing, i.e. being heated to 260 °C for half an hour, has led to. The obtained results show that the Lüders band-related microstructure, dislocation density, lattice constant and texture vary at the different locations across the wall thickness and influence the final mechanical properties of the selected high-strength pipe steel.

Key words: High-strength pipe steel, Lüders band, Strain ageing, Stress distribution, Texture, Mechanical property

Jian Han, Jun Wang, Sunusi Marwana Manladan, Yangchuan Cai, Qian Wang, Zhixiong Zhu, Lisong Zhu, Lianzhong Lu, Zhengyi Jiang. Effect of Lüders Bands by Strain Ageing on Strain Distribution, Microstructure and Texture Evolution of High-Strength Pipe Steel[J]. Acta Metallurgica Sinica (English Letters), 2021, 34(5): 657-667.

Figures/Tables 13

Table 1 Chemical composition ranges of the selected high-strength pipe steel X80 (wt%)

C	N	Mn	Si	Nb + V + Ti	Cu	Cr	Mo	Ni	CE_Pcm
< 0.07	< 0.06	< 1.80	< 0.30	< 0.15	< 0.30	< 0.35	0.08-0.30	0.10-0.30	< 0.22

Fig. 1 Schematic diagram showing sampling of tensile sheets

Fig. 2 Stress-strain curves of a samples at three locations, b DIC image of sample 2# showing the Lüders band

Fig. 3 Optical micrographs: a 2#-1, c 2#-2, e 2#-3, and SEM images: b 2#-1, d 2#-2, f 2#-3 of three samples

Fig. 4 a Grain size distribution and b average grain sizes of three samples

Fig. 5 Orientation maps (RD: rolling direction; TD: transverse direction; ND: normal direction) of a 2#-1, b 2#-2, c 2#-3, d appendix

Fig. 6 Misorientation-angle maps of a 2#-1, b 2#-2, c 2#-3, d misorientation-angle distribution of the above-mentioned three samples

Table 2 Grain boundary ratios of three samples

Sample no.	Grain boundary ratios
Sample no.	LAGBs (%)	HAGBs (%)
2#-1	3.7	96.3
2#-2	4.0	96.0
2#-3	4.8	95.2

Fig. 7 ODFs of three samples (φ2 = 45°; φ1, Φ = 0-90°)

Fig. 8 XRD spectrums of three selected samples

Fig. 9 Kernel average misorientation (KAM) maps of three different locations: a 2#-1, b 2#-2, c 2#-3, d distribution of KAM values and average KAM values for three selected samples

Fig. 10 Schmid factors of three major slip systems

Table 3 Schmid factors for three main slip planes for selected locations

Sample no.	Slip plane
Sample no.	{1 1 0}	{2 1 1}	{3 2 1}
2#-1	0.434	0.445	0.449
2#-2	0.449	0.459	0.464
2#-3	0.439	0.452	0.456

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