Soft computing techniques in advancement of structural metals

Shubhabrata Datta, Partha Chattopadhyay

International Materials Reviews · 2013 · 103 citations · 293 references

Concepts

TL;DR

Advances in technology demand materials that keep pace with application fronts, and over the past decades computational and experimental design—particularly soft computing, which offers flexible global‑scale modeling—has driven progress in metal and alloy development through composition–process–microstructure–property correlations. This review examines how soft computing contributes to structural metals and alloys, covering processing and joining. The review discusses the applicability of specific soft computing techniques to material problems, highlighting hybrid and tandem frameworks that integrate advances to tackle larger length and time scales, and emphasizes the evolution of new knowledge and materials enabled by these methods. The review enumerates the potential of soft computing techniques for future design approaches in structural metals.

Abstract

Current trends in the progress of technology demand availability of materials resources ahead of the advancing fronts of the application areas. During the last couple of decades, significant progress has been made in computational and experimental design of materials. Among the potential computational techniques, soft computing stands in distinction due to the inherent flexibility in capturing the complexity of the problem in global scale. Since 1990s remarkable success has been achieved in soft computing activities in different facets of materials science and engineering. Extensive efforts have been devoted in design of metals and alloys based on composition–process–microstructure–property correlation. The present review aims to address the contribution of soft computing in the field of structural metals and alloys including processing and joining. The critical issues concerning applicability of particular techniques in specific materials problem have been particularly emphasised encompassing the scope of integrating the gradual progress in different techniques in hybrid and tandem framework to address greater complexities in larger length and time scale. Attempt has also been made to emphasise on the evolution of newer knowledge and materials through soft computing activities. Finally, the potential of soft computing techniques in futuristic design approaches has been critically enumerated.

References

293