Skip to main content
Springer Nature Link
Log in

Cloud-Based Materials and Product Realization—Fostering ICME Via Industry 4.0

  • Thematic Section: 5th World Congress on Integrated Computational Materials Engineering
  • Published:
Integrating Materials and Manufacturing Innovation Aims and scope Submit manuscript

Abstract

Facilitating integrated computational materials engineering (ICME) in the digitized world necessitates facilitating a network of participants (material scientists, systems designers, software developers, service customers) to share material/product/manufacturing process/market data, information, knowledge, and resources instantly and collaborate so as to facilitate a cost-effective co-creation of value supporting open innovation. Industry 4.0, a transformative industrial revolution with its new product development paradigms like cloud-based design and cloud-based manufacturing, supports this need. In this paper, we present the architecture and functionalities of a cloud-based computational platform to facilitate mass collaboration and open innovation thereby supporting integrated material and product realization to institutionalize ICME in industry. We illustrate the efficacy of the proposed cloud-based platform using a hot rolling example problem to produce a steel rod. Using this example, we illustrate the utility of the cloud-based platform in seamless, yet controllable, information, knowledge, and resource sharing thereby supporting the integrated design of materials, products, and manufacturing processes.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  1. National Research Council; Division on Engineering and Physical Sciences; National Materials Advisory Board; Committee on Integrated Computational Materials Engineering (2008) Integrated computational materials engineering: a transformational discipline for improved competitiveness and national security. National Academies Press

  2. Horstemeyer MF (2012) Integrated computational materials engineering (ICME) for metals: using multiscale modeling to invigorate engineering design with science. John Wiley & Sons

  3. Thames L, Schaefer D (2017) Cybersecurity for Industry 4.0. Springer

  4. Beitz W, Pahl G, Grote K (1996) Engineering design: a systematic approach. MRS Bull:71

  5. Suh NP (1990) The principles of design. Oxford University Press on Demand, Oxford

    Google Scholar 

  6. Franke N, Von Hippel E, Schreier M (2006) Finding commercially attractive user innovations: a test of lead-user theory. J Prod Innov Manag 23(4):301–315

    Article  Google Scholar 

  7. Wu D, Thames JL, Rosen DW, Schaefer D Towards a cloud-based design and manufacturing paradigm: looking backward, looking forward, Proc. ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers, pp 315–328

  8. McDowell DL (2018) Microstructure-sensitive computational structure-property relations in materials design. Computational Materials System Design. Springer, pp 1–25

  9. Nellippallil AB, Mohan P, Allen JK, Mistree F (2018) Robust concept exploration of materials, products and associated manufacturing processes. ASME IDETC

  10. Mistree F, Smith W, Bras B, Allen J, Muster D (1990) Decision-based design: a contemporary paradigm for ship design, Transactions. Society of Naval Architects and Marine Engineers 98:565–597

    Google Scholar 

  11. Gero JS (1990) Design prototypes: a knowledge representation schema for design. AI Mag 11(4):26

    Google Scholar 

  12. Shupe JA (1988) Decision-based design: taxonomy and implementation, Ph.D. Dissertation, Department of Mechanical Engineering, University of Houston, Houston, Texas,

  13. Hazelrigg GA (1996) Systems engineering: an approach to information-based design. Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  14. Ming Z, Nellippallil AB, Yan Y, Wang G, Goh CH, Allen JK, Mistree F (2018) PDSIDES—a knowledge-based platform for decision support in the design of engineering systems. J Comput Inf Sci Eng 18(4):041001

    Article  Google Scholar 

  15. Ming Z, Yan Y, Wang G, Panchal JH, Goh CH, Allen JK, Mistree F (2016) Ontology-based executable design decision template representation and reuse. Artif Intell Eng Des Anal Manuf 30:390–405

    Article  Google Scholar 

  16. Musen MA (2015) The protégé project: a look back and a look forward. AI Matters 1(4):4–12

    Article  Google Scholar 

  17. Ming Z, Wang G, Yan Y, Dal Santo J, Allen JK, Mistree F (2017) An ontology for reusable and executable decision templates. J Comput Inf Sci Eng 17(3):031008

    Article  Google Scholar 

  18. Ming Z, Wang G, Yan Y, Panchal JH, Goh D, Allen JK, Mistree F (2017) Ontology-based representation of design decision hierarchies. J Comput Inf Sci Eng 18:011001

    Article  Google Scholar 

  19. Mistree F, Hughes OF, Bras B (1993) Compromise decision support problem and the adaptive linear programming algorithm. Prog Astronaut Aeronaut 150:251–251

    Google Scholar 

  20. Mistree F, Lewis K, Stonis L (1994) Selection in the conceptual design of aircraft. AIAA J:1153–1166

  21. Wang R, Nellippallil AB, Wang G, Yan Y, Allen JK, Mistree F (2018) Systematic design space exploration using a template-based ontological method. Adv Eng Inform 36:163–177

    Article  Google Scholar 

  22. Chen W, Allen JK, Mistree F (1997) A robust concept exploration method for enhancing productivity in concurrent systems design. Concurr Eng 5(3):203–217

    Article  Google Scholar 

  23. Simpson TW, Chen W, Allen JK, Mistree F Conceptual design of a family of products through the use of the robust concept exploration method. In: Proc. 6th. AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, pp 1535–1545

  24. Choi H, McDowell DL, Allen JK, Rosen D, Mistree F (2008) An inductive design exploration method for robust multiscale materials design. J Mech Des 130(3):031402

    Article  Google Scholar 

  25. Nellippallil AB, Allen JK, Mistree F, Vignesh R, Gautham BP, Singh AK (2017) A goal-oriented, inverse decision-based design method to achieve the vertical and horizontal integration of models in a hot-rod rolling process chain. ASME Design Automation Conference Cleveland, Ohio

    Book  Google Scholar 

  26. Nellippallil AB, Rangaraj V, Gautham B, Singh AK, Allen JK, Mistree F (2018) An inverse, decision-based design method for integrated design exploration of materials, products, and manufacturing processes. J Mech Des 140(11):111403

    Article  Google Scholar 

  27. Nellippallil AB (2018) The integrated realization of materials, products and associated manufacturing processes, Doctoral Dissertation, University of Oklahoma, Norman

  28. Reddy R, Smith W, Mistree F, Bras B, Chen W, Malhotra A, Badhrinath K, Lautenschlager U, Pakala R, Vadde S (1992) DSIDES User Manual. Systems Design Laboratory, Department of Mechanical Engineering, University of Houston, Houston, Texas

    Google Scholar 

  29. Wu D, Rosen DW, Wang L, Schaefer D (2015) Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation. Comput Aided Des 59:1–14

    Article  Google Scholar 

  30. Panchal JH, Fernández MG, Allen JK, Paredis CJ, Mistree F Facilitating meta-design via separation of problem, product, and process information. In: Proc. ASME 2005 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, pp 49–62

  31. Panchal JH, Fernández MG, Paredis CJJ, Mistree F (2004) Reusable design processes via modular, executable, decision-centric templates. In: AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY Paper Number AIAA-2004-4601

  32. Lewis K, Mistree F (1998) Collaborative, sequential, and isolated decisions in design. J Mech Des 120(4):643–652

    Article  Google Scholar 

  33. Panchal JH, Gero Fernández M, Paredis CJ, Allen JK, Mistree F (2009) A modular decision-centric approach for reusable design processes. Concurr Eng 17(1):5–19

    Article  Google Scholar 

  34. Montgomery DC (2008) Design and analysis of experiments. John Wiley & Sons

  35. Simpson TW, Poplinski J, Koch PN, Allen JK (2001) Metamodels for computer-based engineering design: survey and recommendations. Eng Comput 17(2):129–150

    Article  Google Scholar 

  36. 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. AIAA, Washington, DC, pp 247–286

    Google Scholar 

  37. Chen W, Allen JK, Tsui K-L, Mistree F (1996) A procedure for robust design: minimizing variations caused by noise factors and control factors. J Mech Des 118(4):478–485

    Article  Google Scholar 

  38. Choi H-J, Austin R, Allen JK, McDowell DL, Mistree F, Benson DJ (2005) An approach for robust design of reactive power metal mixtures based on non-deterministic micro-scale shock simulation. J Computer-Aided Mater Des 12(1):57–85

    Article  CAS  Google Scholar 

  39. Nellippallil AB, Song KN, Goh C-H, Zagade P, Gautham B, Allen JK, Mistree F (2017) A goal-oriented, sequential, inverse design method for the horizontal integration of a multistage hot rod rolling system. J Mech Des 139(3):031403

    Article  Google Scholar 

  40. Shukla R, Goyal S, Singh AK, Panchal JH, Allen JK, Mistree F (2015) Design exploration for determining the set points of continuous casting operation: an industrial application. J Manuf Sci Eng 137(3):034503

    Article  Google Scholar 

  41. Sinha A, Bera N, Allen JK, Panchal JH, Mistree F (2013) Uncertainty management in the design of multiscale systems. J Mech Des 135(1):011008

    Article  Google Scholar 

  42. Fonville TF, Nellippallil AB, Horstemeyer MF, Allen JK, and Mistree F (2019) A goal-oriented, inverse decision-based design method for multi-component product design. ASME Design Automation ConferenceAnaheim, CA. Paper Number: IDETC2019–97388. Accepted

  43. Gautham B, Singh AK, Ghaisas SS, Reddy SS, Mistree F (2013) PREMΛP: a platform for the realization of engineered materials and products, ICoRD’13. Springer, pp 1301–1313

  44. Milisavljevic-Syed J, Allen JK, Commuri S, Mistree F (2019) Design of networked manufacturing systems for Industry 4.0. In: CIRP manufacturing systems conference

  45. Yadav A, Das AK, Allen JK, Mistree F (2019) A computational framework to support social entrepreneurs in creating value for rural communities in India ASME Design Automation ConferenceAnaheim, CA Paper Number: IDETC2019–97375. Accepted

Download references

Acknowledgments

Anand Balu Nellippallil thanks the Systems Realization Laboratory, University of Oklahoma, for supporting him.

Funding

This work was financially supported by Tata Consultancy Services Research, Pune (Grant No. 105-373200) and by the John and Mary Moore Chairs and L.A. Comp Chair at the University of Oklahoma.

Author information

Authors and Affiliations

  1. Center for Advanced Vehicular Systems, Mississippi State University, 200 Research Blvd., Starkville, MS, 39759, USA

    Anand Balu Nellippallil

  2. Systems Realization Laboratory @ OU, University of Oklahoma, Norman, OK, 73019, USA

    Zhenjun Ming, Janet K. Allen & Farrokh Mistree

Authors
  1. Anand Balu Nellippallil
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Zhenjun Ming
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Janet K. Allen
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Farrokh Mistree
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Anand Balu Nellippallil.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nellippallil, A.B., Ming, Z., Allen, J.K. et al. Cloud-Based Materials and Product Realization—Fostering ICME Via Industry 4.0. Integr Mater Manuf Innov 8, 107–121 (2019). https://doi.org/10.1007/s40192-019-00139-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40192-019-00139-2

Keywords