2016
DOI: 10.1016/j.corsci.2016.07.024
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Grain orientation dependent Nb–Ti microalloying mediated surface segregation on ferritic stainless steel

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Cited by 17 publications
(10 citation statements)
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“…Tianqi ZHU, 1) Hongmei LI, 1) Naoki TAKATA, 1) * Makoto KOBASHI 1) and Masataka YOSHINO 2) with added stabilizing elements could contain fine carbide precipitates in the α-Fe matrix, [4][5][6][7] whereby the improved ductility appears attributable to various microstructural factors including fine carbide precipitates and α-Fe matrix with reduced solute elements. The microstructural features make it difficult to identify a dominant contributor to controlling the ductility of ferritic stainless steels by using the conventional mechanical testing.…”
Section: Strain Rate Sensitivity Of Flow Stress Measured By Micropillmentioning
confidence: 99%
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“…Tianqi ZHU, 1) Hongmei LI, 1) Naoki TAKATA, 1) * Makoto KOBASHI 1) and Masataka YOSHINO 2) with added stabilizing elements could contain fine carbide precipitates in the α-Fe matrix, [4][5][6][7] whereby the improved ductility appears attributable to various microstructural factors including fine carbide precipitates and α-Fe matrix with reduced solute elements. The microstructural features make it difficult to identify a dominant contributor to controlling the ductility of ferritic stainless steels by using the conventional mechanical testing.…”
Section: Strain Rate Sensitivity Of Flow Stress Measured By Micropillmentioning
confidence: 99%
“…5(c)-5(f)) determines the dominant slip system activated. The determined slip system predominantly operated was a [1][2][3][4][5][6][7][8][9][10][11] direction on a (231) plane with a high Schmid factor of 0. 45.…”
Section: Compression Tests For Single-crystal Micropillarsmentioning
confidence: 99%
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“…According to Liu et al's proposed method (Padmanabhan et al 2002), the initial pressure on the clamp is calculated using relation (5) and then, Fig. 6 Algorithm of the secondary blank holder force (Löytty et al 2016) the secondary force must be estimated based on the flowchart shown in Fig. 6.…”
Section: The Die and Workpiece Modelingmentioning
confidence: 99%
“…Other features of these steels such as ease of welding, soft and flexible for cold working, and to be non-magnetic are of interest to many researchers and industrialists (Luo 2013;Haghshenas 2016). The most outstanding of these steels are the ferritic stainless steels (400 series) (Henry and Maloy 2017;Löytty et al 2016;Zhao et al 2016), precipitation hardening stainless steels (Couturier et al 2016;Silvestre et al 2015), duplex stainless steels (austenitic-ferritic) (Schwarm et al 2017;Mukherjee and Pal 2012;Samal et al 2011), martensitic stainless steel alloys (Wiessner et al 2017;Garrison and Amuda 2017), and austenitic stainless steels (200 and 300 series) (Tasker and Amuda 2017;Borgioli et al 2016). Simulation of the springback depends on two main groups of parameters: the first group is the physical parameters such as mechanical properties, hardness, and friction coefficient rules, and the second group is numerical parameters such as the number of embedded points in the thickness direction, element type, mesh size, and the convergence tolerances that further are concerned with the simulating conditions of body.…”
Section: Introductionmentioning
confidence: 99%