Abstract
Engineering design has historically been taught using the paradigm of selecting materials on the basis of tabulated databases of properties (mechanical, physical, chemical, etc.). Recent trends have moved toward concurrent design of material composition and microstructure together with the component/system level. The goal is to tailor materials to meet specifi ed ranges of performance requirements of the overall system. Often these multiple performance requirements are in confl ict in terms of their demands on composition and microstructure. This paper explores the elements of a decision-based robust design framework for concurrent design of materials and products, focusing on enhancing the fraction of decisions supported by modeling and simulation.
Similar content being viewed by others
References
M.F. Ashby, Materials Selection in Mechanical Design, 2nd Edition (Oxford, UK; Butterworth-Heinemann, 1999).
C. Shu et al., “Combinatorial Materials Design Through Database Science,” Materials Research Society Symposium-Proceedings, v 804, Combinatorial and Artificial Intelligence Methods in Materials Science II (Warrendale, PA: Materials Research Society, 2003), pp. 333–341.
S.J.E. Billinge, K. Rajan, and S.B. Sinnot, From Cyberinfrastructure to Cyberdiscovery in Materials Science: Enhancing Outcomes in Materials Research, Education and Outreach (Report from NSF-sponsored workshop held in Arlington, Virginia, 3–5 August 2006), www.mcc.uiuc.edu/nsf/ciw_2006/" Key=".
T.M. Pollock and J. Allison, Committee on Integrated Computational Materials Engineering: Developing a Roadmap for a Grand Challenge in Materials (Washington, D.C.: National Materials Advisory Board, National Academy of Engineering, 2007), http://www7.nationalacademies.org/nmab/CICME_home_page.html .
J.T. Oden et al., Simulation-Based Engineering Science: Revolutionizing Engineering Science through Simulation (Report of NSF Blue Ribbon Panel on Simulation-Based Engineering Science, May 2006), www.nsf.gov/pubs/reports/sbes_final_report.pdf" Key=".
G.B. Olson, “Computational Design of Hierarchically Structured Materials,” Science, 277(5330) (1997), pp. 1237–1242.
D.L. McDowell and T.L. Story, New Directions in Materials Design Science and Engineering (Report of NSF DMR-sponsored workshop held in Atlanta, GA, 19–21 October 1998).
H.-J. Choi, “A Robust Design Method for Model and Propagated Uncertainty” (Ph.D. Dissertation, G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 2005).
J.H. Panchal et al., “A Strategy for Simulation-Based Multiscale, Multifunctional Design of Products and Design Processes” (Presentation at the ASME Design Automation Conference, Long Beach, CA, 2005), paper number DETC2005-85316.
H.-J. Choi et al., “An Inductive Design Exploration Method for the Integrated Design of Multiscale Materials and Products” (Presentation at the ASME Design Automation Conference, Long Beach, CA, 2005), paper number DETC2005-85335.
S.S. Isukapalli, A. Roy, and P.G. Georgopoulos, Risk Analysis, 18(3) (1998), p. 351.
F. Mistree, O.F. Hughes, and B.A. Bras, Structural Optimization: Status and Promise, ed. M.P. Kamat (Washington, D.C.: AIAA, 1993), p. 247.
W. Chen, “A Robust Concept Exploration Method for Configuring Complex Systems” (Ph.D. Dissertation, G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 1995).
C.C. Seepersad et al., “Foundations for a Systems-Based Approach for Materials Design” (Presentation at the 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, 2004), pp. AIAA-2004-4300.
G. Taguchi, Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream (New York; ASME Press, 1993).
H.-J. Choi et al., “An Approach for Robust Design of Reactive Powder Metal Mixtures Based on Nondeterministic Micro-scale Shock Simulation,” Journal of Computer-Aided Materials Design, 12(1) (2005), pp. 57–85.
J.H. Panchal, “A Framework for Simulation-Based Integrated Design of Multiscale Products and Design Processes” (Ph.D. Dissertation, G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 2005).
C.C. Seepersad, “A Robust Topological Preliminary Design Exploration Method with Materials Design Applications” (Ph.D. Dissertation, G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 2004).
C.C. Seepersad et al., “Multifunctional Design of Prismatic Cellular Materials,” Journal of Computer-Aided Materials Design, 11(2–3) (2005), pp. 163–181.
C.C. Seepersad et al., “Design of Multifunctional Honeycomb Materials,” AIAA Journal, 42(5) (2004), pp. 1025–1033.
J.H. Panchal et al., “Designing Design Processes for Integrated Materials and Products Realization: A Multifunctional Energetic Structural Material Example” (Presentation at the 2006 ASME Design Automation Conference, Philadelphia, PA, 2006), paper no. DETC2006-99449.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
McDowell, D.L. Simulation-assisted materials design for the concurrent design of materials and products. JOM 59, 21–25 (2007). https://doi.org/10.1007/s11837-007-0111-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11837-007-0111-7