ICoRD'13 pp 759-772 | Cite as

PREMΛP: Exploring the Design Space for Continuous Casting of Steel

  • Prabhash Kumar
  • Sharad Goyal
  • Amarendra K. Singh
  • Janet K. Allen
  • Jitesh H. Panchal
  • Farrokh Mistree
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Continuous casting is a crucial step in the production of a variety of steel products. Its performance is measured in terms of productivity, yield, quality and production costs, which are conflicting. In this paper an integrated design framework has been developed based on metamodels and the compromise Decision Support Problem (cDSP) for determining a robust solution. Further, the design space for continuous casting has been explored to determine robust solutions for different requirements. Moreover, the utility of the framework has been illustrated for providing decision support when an existing configuration for continuous casting is unable to meet the requirements. This approach can be easily instantiated for other unit operations involved in steel manufacturing and then can be used to integrate the host of operations for the development of materials with specific properties and the combined design of products and materials. This enables an integrated simulation based design framework, PREMΛP, and will lead to a paradigm shift in the manufacturing industry.


Robust design Compromise Decision Support Problem Continuous casting of steel Metamodels 



The authors thank TRDDC, Tata consultancy services, Pune for supporting this work. Janet Allen gratefully acknowledges financial support from the John and Mary Moore Chair at the University of Oklahoma. Farrokh Mistree gratefully acknowledges financial support from the L.A. Comp Chair at the University of Oklahoma.


  1. 1.
    Singh AK, Pardeshi R, Goyal S (2011) Integrated modeling of tundish and continuous caster to meet quality requirements of cast steels. In: 1st world congress on integrated computational materials engineering, vol 1, pp 81–85Google Scholar
  2. 2.
    Gautham BP, Singh AK, Ghaisas SS, Reddy SS, Mistree F (2013) PREMΛP—a platform for the realization of engineered materials and products. In: Proceedings of the 4th international conference on research into design, IIT Madras, Chennai, India. Paper no.: 63Google Scholar
  3. 3.
    Bhat M, Shah S, Das P, Kumar P, Kulkarni N, Ghaisas SS, Reddy SS (2013) PREMΛP—knowledge driven design of materials and engineering processes. In: Proceedings of the 4th international conference on research into design, IIT Madras, Chennai, India, Paper no: 66Google Scholar
  4. 4.
    Kulkarni N, Zagade PR, Gautham BP, Panchal JH, Allen JK, Mistree F (2013) PREMΛP—exploring the design and materials space for gears. In: Proceedings of the 4th international conference on research into design, IIT Madras, Chennai, India. Paper no.: 64Google Scholar
  5. 5.
    Allen JK, Seepersad CC, Mistree F (2006) A survey of robust design with applications to multidisciplinary and multiscale systems. J Mech Des 128(4):832–843CrossRefGoogle Scholar
  6. 6.
    Mistree F, Hughes OF, Bras BA (1993) The compromise decision support problem and the adaptive linear programming algorithm. In: Kamat MP (ed) Structural optimization: status and promise, Washington, D.C., AIAA, pp 247–286Google Scholar
  7. 7.
    Simpson TW, Chen W, Allen JK, Mistree F (1999) Use of the robust concept exploration method to facilitate the design of a family of products. In: Roy U, Usher JM, Parsaei HR (eds) Simultaneous engineering: methodologies and applications. Chapman-Hall, New York, pp 247–278Google Scholar
  8. 8.
    Choi H-J, McDowell DL, Rosen D, Allen JK, Mistree F (2008) An inductive design exploration method for robust multiscale materials design. J Mech Des 130(3):031402-1/13Google Scholar
  9. 9.
    Cramb AW (2010) The making, shaping and treating of steel-casting volume, 11th edn, AISTGoogle Scholar
  10. 10.
    Santos CA, Cheung N, Garcia A, Spim JA (2005) Application of solidification mathematical model and a genetic algorithm in the optimization of strand thermal profile along the continuous casting of steel. Mater Manuf Proces 20:1–14CrossRefGoogle Scholar
  11. 11.
    Ghosh A (1990) Principles of secondary processing and casting of liquid steel. Oxford and IBH publishing Co. Pvt. LtdGoogle Scholar
  12. 12.
    Myers RH, Montgomery DC, Anderson-Cook CM (2009) Response surface methodology: process and product optimization using designed experiments. Wiley, New York (Wiley series in probability and statistics)MATHGoogle Scholar
  13. 13.

Copyright information

© Springer India 2013

Authors and Affiliations

  • Prabhash Kumar
    • 1
  • Sharad Goyal
    • 1
  • Amarendra K. Singh
    • 1
  • Janet K. Allen
    • 2
  • Jitesh H. Panchal
    • 3
  • Farrokh Mistree
    • 4
  1. 1.Tata Consultancy ServicesPuneIndia
  2. 2.School of Industrial and Systems EngineeringUniversity of OklahomaNormanUSA
  3. 3.School of Mechanical EngineeringPurdue UniversityWest LafayetteUSA
  4. 4.School of Aerospace and Mechanical EngineeringUniversity of OklahomaNormanUSA

Personalised recommendations