Skip to main content
SpringerLink
Log in

In Silico Design of Materials and Processes: An Application of ICME to Carburizing Steels

  • Technical Paper
  • Published:
Transactions of the Indian Institute of Metals Aims and scope Submit manuscript

Abstract

The availability of high computational power and sophisticated mathematical modeling techniques has ushered in a new era of multiscale and multiphysics materials and process modeling to accelerate engineering decision making. These developments have led to the concept of integrated computational materials engineering (ICME) which aims for concurrent design and development of materials, processes and products by making use of detailed material modeling supported by supplementary data-driven modeling and multiobjective optimization techniques. The present work focuses on adopting an ICME approach for concurrent design of carburizing-grade steel and process using integrated process modeling and design exploration technique. An integrated, composition-dependent, microstructure-based modeling module is used to model the process route of carburizing–quenching–tempering for carburizing-grade steels. The module is used to explore various combinations of composition and process set-points for predicting different microstructure and property outputs. The output generated by this module is used to develop surrogate models which is then used in a solution space exploration framework to obtain the most suitable composition and process conditions that can result in the desired requirements associated with the properties of final product while maintaining different operational constraints. The results predicted by the proposed framework are discussed and the need for in silico design approach for materials and process development is highlighted.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. National Research Council, Integrated Computational Materials Engineering: A Transformational Discipline for Improved Competitiveness and National Security, The National Academies Press, Washington, D.C. (2008)

    Google Scholar 

  2. Schmitz G J and Prahl U, Integrative Computational Materials Engineering: Concepts and Integration of a Modular Simulation Platform, Wiley VCH Verlag, Weinheim (2012)

    Book  Google Scholar 

  3. Horstemeyer M F, Integrated Computational Materials Engineering (ICME) for Metals: Concepts and Case Studies, Wiley, Hoboken, NJ (2018)

    Book  Google Scholar 

  4. Bertolo R, Ault R, and Cobbett R, SAE Technical Paper 810424 (1981)

  5. Ninomiya A, Okada Y, Horimoto M, and Maeda S, HONDA R&D Tech Rev 26 (2014) 125.

    Google Scholar 

  6. Mohrbacher H, Adv Manuf 4 (2016) 105.

    Article  Google Scholar 

  7. Collins S R, Williams P C, Marx S V, Heuer A, Ernst F, and Kahn H, in ASM Handbook, Volume 4D, Heat Treating of Irons and Steels, (eds) Dosset J, and Totten G E, ASM International, Materials Park, OH (2014), p 451

  8. Fukuoka K, Tomita K, and Shiraga T, Examination of Surface Hardening Process for Dual Phase Steel and Improvement of Gear Properties, JFE Technical Report No. 15 (2010) pp 17.

  9. Konovalov S and Prahl U, in Fundamentals and Applications of Mo and Nb Alloying in High Performance Steels: Proceedings of the Second International Symposium on Fundamentals and Applications of Mo and Nb Alloying in High Performance Steels, (eds) Mohrbacher J, Jeju Island, South Korea (2013), p 215

  10. Jay Gao X, Olson GB, Stavehaug F and Scharer C, in Modeling, Control, and Optimization in Ferrous and Non-ferrous Industry, Materials Science and Technology 2003 Meeting, (eds) Kongoli F, Thomas B G, and Sawamiphakdi K, Chicago, IL (2003), p 381

  11. Aristeidakis J S, and Haidemenopoulos G N, Metall Mater Trans A 48 (2017) 2584

    Article  Google Scholar 

  12. John D M, Mason P et al (eds) Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017), The Minerals, Metals and Materials Series, https://doi.org/10.1007/978-3-319-57864-4_1.

  13. Farivar H, Mason P et al (eds) Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017), The Minerals, Metals and Materials Series, https://doi.org/10.1007/978-3-319-57864-4_13.

  14. Itishree Mohanty I, Chintha A R, and Kundu S, Metall Mater Trans A 49 (2018) 2405. https://doi.org/10.1007/s11661-018-4540-4.

    Article  Google Scholar 

  15. Shukla R, Goyal S, Singh A K, Allen J K, Panchal J H, and Mistree F, J Manuf Sci Eng 137 (2015), 1.

    Article  Google Scholar 

  16. Allen J K, Seepersad C C, Choi H-J, and Mistree F, J Mech Des 128 (2006) 832

    Article  Google Scholar 

  17. Mistree F, Hughes O F, and Bras B A, in Structural Optimization: Status and Promise, (ed) Kamat MP, AIAA, Washington, D.C. (1993), p 247

  18. Shukla R, Kulkarni N, Gautham B P, Singh A K, Allen J K, Panchal J H, and Mistree F, JOM 67 (2015) 94

    Article  Google Scholar 

  19. Khan D, and Gautham B, Integr Mater Manuf Innov 7 (2018) 28

    Article  Google Scholar 

  20. National Institute of Materials Science. http://smds.nims.go.jp/fatigue/index_en.html. Accessed 11 Dec 2018.

  21. Kim D W, Cho Y G, Cho H H, Kim S H, Lee W B, Lee M G, and Han H N, Met Mater Int 17 (2011) 885

    Article  Google Scholar 

  22. Tibbetts G G, J Appl Phys 51, (1980), 4813. https://doi.org/10.1063/1.328314

  23. Neuman F, and Person B, Harterei-Techn. Mitt 23, (1968), 296

    Google Scholar 

  24. Lee S J, and Lee Y K, Mater Des 29 (2008) 1840

    Article  Google Scholar 

  25. Li M V, Niebuhr D V, Meekisho L L, and Atteridge D G, Metall Mater Trans B 29 (1998) 661

    Article  Google Scholar 

  26. Koistinen D P, and Marburger R E, Acta Metall 7 (1959) 59

    Article  Google Scholar 

  27. Maynier P, Jungmann B, and Dollet J, in Hardenability Concepts with Applications to Steel, (eds) Doane D V, and Kirkaldy JS, Metallurgical Society of AIME, New York (1978), p 518

  28. https://pythonhosted.org/pyDOE/randomized.html. Accessed 11 Dec 2018.

  29. https://github.com/clicumu/pyDOE2. Accessed 11 Dec 2018.

  30. Myers R H, Montgomery D C, and Anderson-Cook C M, Response Surface Methodology: Product and Process Optimization Using Designed Elements, Wiley, New York (2009)

    Google Scholar 

  31. Mistree F, Smith W F, and Bras B A, in Handbook of Concurrent Engineering, (eds) Paresai H R, and Sullivan W, Chapman-Hall, New York (1993), p 127

  32. London Metal Exchange https://www.lme.com/. Accessed 11 Dec 2018.

Download references

Acknowledgements

The authors acknowledge, with thanks, the support of Mr. K. Ananth Krishnan, CTO, Tata Consultancy Services (TCS) Research in pursuing this research. Prof. Farrokh Mistree, Prof. Jitesh Panchal, and Prof. Janet Allen are gratefully acknowledged for exposing us to cDSP construct and providing access to DSIDES tool.

Author information

Authors and Affiliations

  1. TCS Research, TRDDC, TCS-Pune, 54-B Hadapsar Industrial Estate, Pune, 411013, India

    Danish Khan, Rishabh Shukla & B. P. Gautham

Authors
  1. Danish Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rishabh Shukla
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. B. P. Gautham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to B. P. Gautham.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khan, D., Shukla, R. & Gautham, B.P. In Silico Design of Materials and Processes: An Application of ICME to Carburizing Steels. Trans Indian Inst Met 72, 2179–2185 (2019). https://doi.org/10.1007/s12666-018-1534-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12666-018-1534-2

Keywords

Search

Navigation