Investigating nano-precipitation in a V-containing HSLA steel using small angle neutron scattering

Investigating nano-precipitation in a V-containing HSLA steel using small angle neutron scattering
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DOI:
10.1016/j.actamat.2017.11.032
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发表时间:
2018-02
期刊:
影响因子:
9.4
通讯作者:
Yiqiang Wang;S. Clark;V. Janik;R. Heenan;D. Venero;K. Yan;D. G. McCartney;S. Sridhar;P. Lee
Yiqiang Wang;S. Clark;V. Janik;R. Heenan;D. Venero;K. Yan;D. G. McCartney;S. Sridhar;P. Lee
中科院分区:
材料科学1区
文献类型:
--
作者:
Yiqiang Wang;S. Clark;V. Janik;R. Heenan;D. Venero;K. Yan;D. G. McCartney;S. Sridhar;P. Lee

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研究了含钒高强度低合金钢中纳米级碳化物的相间析出。用小角中子散射(SANS)和透射电镜(TEM)研究了Fe-0.047C-0.2V-1.6Mn(wt.%)合金中的析出相及其尺寸分布。合金样品已经过结晶化,在700 °C下等温转化3 - 600分钟,并经水淬火。TEM证实,在热处理后,存在成排的含钒纳米级相间沉淀物。核SANS信号的模型独立分析和模型拟合计算,使用扁球体和圆盘形状,进行。长轴直径从3 min后的18 nm增加到600 min后的35 nm。在同一时期,碳酸盐的体积百分比从0.09体积%增加到0.22体积%,数量密度从2 × 1021下降到5 × 1020 m −3。从TEM图像中对沉淀物最大直径的有限数量的测量显示,平均值从5分钟后的8 nm增加到600分钟后的28 nm,这与SANS数据合理一致。
Interphase precipitation (IPP) of nanoscale carbides in a vanadium-containing high-strength low-alloy steel has been investigated. Small angle neutron scattering (SANS) and transmission electron microscopy (TEM) were employed to characterize the precipitates and their size distributions in Fe-0.047C-0.2V-1.6Mn (in wt.%) alloy samples which had been austenitized, isothermally transformed at 700 °C for between 3 and 600 min and water quenched. TEM confirms that, following heat treatment, rows of vanadium-containing nanoscale interphase precipitates were present. Model-independent analysis of the nuclear SANS signal and model fitting calculations, using oblate spheroid and disc-shapes, were performed. The major axis diameter increased from 18 nm after 3 min to 35 nm after 600 min. Precipitate volume percent increased from 0.09 to 0.22 vol% over the same period and number density fell from 2 × 1021to 5 × 1020m−3. A limited number of measurements of precipitate maximum diameters from TEM images showed the mean value increased from 8 nm after 5 min to 28 nm after 600 min which is in reasonable agreement with the SANS data.