Combinatorial development and high throughput materials characterisation of steels

References

• I. Toda-Caraballo, E. I. Galindo-Nava and P. E. J. Rivera-Díaz-Del-Castillo: ‘Unravelling the materials genome: symmetry relationships in alloy properties’, J Alloys Compd, 2013, 566, 217–228. doi: 10.1016/j.jallcom.2013.02.148
   Web of Science ®Google Scholar
• J. L. Provis: ‘Grand challenges in structural materials’, Front Mater., 2015, 2, 8–11. doi: 10.3389/fmats.2015.00031
   Google Scholar
• J. Hattrick-Simpers, C. Wen and J. Lauterbach: ‘The materials super highway: integrating high-throughput experimentation into mapping the catalysis materials genome’, Catal. Lett., 2014, 145, (1), 290–298. doi: 10.1007/s10562-014-1442-y
   Web of Science ®Google Scholar
• A. W. Bosse and E. K. Lin: ‘Polymer physics and the materials genome initiative’, J. Polym. Sci. B, 53B, 2015, (2), 89–89. doi: 10.1002/polb.23602
   Google Scholar
• European Science Foundation. Materials Science and Engineering Expert Committee (MatSEEC): Metallurgy Europe – a renaissance programme for 2012–2022, 2012..
   Google Scholar
• W. Wong-Ng: ‘Evaluation of the current status of the combinatorial approach for the study of phase diagrams’, J. Res. Natl Inst. Stand. Technol., 2012, 117, 304. doi: 10.6028/jres.117.018
   PubMed Web of Science ®Google Scholar
• J. -C. Zhao: ‘Methods for phase diagram determination’, (ed. J. -C. Zhao), Determination of Phase Diagrams using Equilibrated Alloys, 108–151, 2007, Elsevier.
   Google Scholar
• H. Springer, M. Belde and D. Raabe: ‘Bulk combinatorial design of ductile martensitic stainless steels through confined martensite-to-austenite reversion’, Mater. Sci. Eng. A, 2013, A582, 235–244. doi: 10.1016/j.msea.2013.06.036
   Web of Science ®Google Scholar
• D. Raabe, H. Springer, I. Gutierrez-Urrutia, et al., ‘Alloy design, combinatorial synthesis, and microstructure–property relations for low-density Fe–Mn–Al–C austenitic steels’, JOM, 2014, 66, (9), 1845–1856. doi: 10.1007/s11837-014-1032-x
   Web of Science ®Google Scholar
• H. Springer and D. Raabe: ‘Rapid alloy prototyping: compositional and thermo-mechanical high throughput bulk combinatorial design of structural materials based on the example of 30Mn–1.2C–xAl triplex steels’, Acta Mater., 2012, 60, (12), 4950–4959. doi: 10.1016/j.actamat.2012.05.017
   Web of Science ®Google Scholar
• H. Springer, C. Tasan and D. Raabe: ‘A novel roll-bonding methodology for the cross-scale analysis of phase properties and interactions in multiphase structural materials’, Int. J. Mater. Res., 2015, 106, (1), 3–14. doi: 10.3139/146.111156
   Web of Science ®Google Scholar
• S. C. Sieg: ‘Modelling quantitative composition activity relationships (QCARs) for heterogeneous catalysts by kriging and a multilevel B-spline approach’, ‘ PhD thesis’, Saarlandes University, Saarbrucken, Germany, 2007.
   Google Scholar
• M. A. R. Meier and U. S. Schubert: ‘Combinatorial polymer research and high-throughput experimentation: powerful tools for the discovery and evaluation of new materials’, J. Mater. Chem., 2004, 14, (22)–3289. doi: 10.1039/b406497f
   Web of Science ®Google Scholar
• G. Robertsingh, M. Sivapragash, R. Anish, “Improving Mechanical Properties of Mg Alloy by Optimizing the Composition Elements using Grey based Taguchi Method”, Int. J. Applied Engineering Research, 2015, 10, (8), 6428–6432.
   Google Scholar
• D. Yang, T. Jin, N. Zhao, Z. Wang, X. Sun, H. Guan and Z. Hu, ‘Influence of Co, W and Ti on the stress-rupture Lives of a single crystal nickel-base superalloy’, Journal of Materials Science and Technology, 2006, 22, (2), 169–172.
   Web of Science ®Google Scholar
• J. -W. Yeh: ‘Alloy design strategies and future trends in high-entropy alloys’, JOM, 2013, 65, (12), 1759–1771. doi: 10.1007/s11837-013-0761-6
   Web of Science ®Google Scholar
• K. Bukat, J. Sitek, R. Kisiel, Z. Moser, W. Gasior, M. Kościelski and J. Pstruś: ‘Evaluation of the influence of Bi and Sb additions to Sn–Ag–Cu and Sn–Zn alloys on their surface tension and wetting properties using analysis of variance – ANOVA’, Solder Surf. Mount Technol., 2008, 20, (4), 9–19. doi: 10.1108/09540910810902660
   Web of Science ®Google Scholar
• S. C. Tseng, W. H. Chao, P. H. Yang, H. S. Chu, J. D. Hwang and R. J. Wu: ‘Enhanced thermoelectric properties of (Bi0.5Sb1.5Te3)1 − x − y (PbTe)x(Zn4Sb3)y by combinatorial screening’, J. Alloys Compd, 2014, 588, 658–661. doi: 10.1016/j.jallcom.2013.11.139
   Web of Science ®Google Scholar
• H. Guo, G. R. Purdy, M. Enomoto and H. I. Aaronson: ‘Kinetic transitions and substititional solute (Mn) fields associated with later stages of ferrite growth in Fe-C-Mn-Si’, Metall. Mater. Trans. A, 37A, 2006, (6), 1721–1729. doi: 10.1007/s11661-006-0115-x
   Google Scholar
• G. Miyamoto, J. C. Oh, K. Hono, T. Furuhara and T. Maki: ‘Effect of partitioning of Mn and Si on the growth kinetics of cementite in tempered Fe–0.6 mass% C martensite’, Acta Mater., 2007, 55, (15), 5027–5038. doi: 10.1016/j.actamat.2007.05.023
   Web of Science ®Google Scholar
• T. Kasuya and Y. Hashiba: ‘Carbon equivalent to assess hardenability of steel and prediction of HAZ hardness distribution’, Nippon Steel Tech. Rep., 2007, (95), 53–61, http://210.133.111.148/en/tech/report/pdf/n9510.pdf.
   Google Scholar
• R. W. Hinton and R. K. Wiswesser: ‘Estimating welding preheat requirements for unknown grades of carbon and low-alloy steels’, Weld. J., 2008, 87 273–278.
   Google Scholar
• S. D. Norris and J. D. Parker: ‘Deformation processes during disc bend loading’, Mater. Sci. Technol., 1996, 12, (2), 163–170. doi: 10.1179/mst.1996.12.2.163
   Web of Science ®Google Scholar