The current research proposes an integrated framework for product design that incorporates simulation-based tools into the early design stage to achieve optimum multiscale systems. The method to determine the appropriate cellular material-property relations for the internal material structures of the system is through a topology optimization technique and a multiscale design process. Specifically, the reliability-based topology optimization (RBTO) and a multi-attribute decision design method are integrated into the inductive design exploration method (IDEM). The RBTO method is introduced to determine optimal topologies at the mesoscale. The multi-attribute decision design method is used for decision support in the design process of the macroscale systems. IDEM offers the capability for concurrent design on multiple scales providing an approach for the integration of the other two methods. An example of the developed multiscale design framework is presented in terms of a hydrogen storage tank used in a hydrogen fuel cell for automotive applications. The multiscale tank design will feature a high strength cellular structured wall, resulting in a large weight reduction.
Issue Section:
Research Papers
1.
Patel
, J.
, Ruderman
, A.
, and Choi
, S.
, 2009, “Optimal Synthesis of Mesostructured Materials Under Uncertainty
,” 50th AIAA Structures, Structural Dynamics, and Materials Conference
, Palm Springs, CA.2.
Choi
, H.
, Mcdowell
, D. L.
, Allen
, J. K.
, Rosen
, D.
, and Mistree
, F.
, 2008, “An Inductive Design Exploration Method for Robust Multiscale Materials Design
,” ASME J. Mech. Des.
0161-8458, 130
(3
), p. 031402
.3.
Lewis
, K.
, Chen
, W.
, and Schmidt
, L. C.
, 2006, Decision Making in Engineering Design
, ASME
, New York
.4.
Amarchinta
, H.
, and Grandhi
, R. V.
, 2008, “Multi-Attribute Structural Optimization Based on Conjoint Analysis
,” AIAA J.
0001-1452, 46
(4
), pp. 884
–893
.5.
Hazelrigg
, G. A.
, 1998, “A Framework for Decision-Based Engineering Design
,” ASME J. Mech. Des.
0161-8458, 120
(4
), pp. 653
–658
.6.
Messac
, A.
, 1996, “Physical Programming: Effective Optimization for Computational Design
,” AIAA J.
0001-1452, 34
(1
), pp. 149
–158
.7.
Orme
, B. K.
, 2006, Getting Started With Conjoint Analysis: Strategies for Product Design and Pricing Research
, Research
, Madison, WI
.8.
Neumann
, J. V.
, and Morgenstern
, O.
, 1944, Theory of Games and Economic Behavior
, Princeton University Press
, Princeton, NJ
.9.
Akao
, Y.
, Mizuno
, S.
, and Ishihara
, K.
, 1994, Quality Function Deployment: The Customer-Driven Approach to Quality Planning and Deployment
, Asian Productivity Organization
, Tokyo, Japan
.10.
Hayes
, B. E.
, 1997, Measuring Customer Satisfaction: Survey Design, Use, and Statistical Analysis Methods
, American Society for Quality
, Milwaukee, WI
.11.
Green
, P.
, Carroll
, J.
, and Goldberg
, S.
, 1981, “A General Approach to Product Design Optimization via Conjoint Analysis
,” J. Marketing
0022-2429, 43
(Summer), pp. 17
–35
.12.
Reutterer
, T.
, and Kotzab
, H. W.
, 2000, “The Use of Conjoint Analysis for Measuring Preferences in Supply Chain Design
,” Ind. Mark. Manage.
0019-8501, 29
(1
), pp. 27
–35
.13.
Stewart
, M. G.
, Rosowsky
, D. V.
, and Val
, D. V.
, 2001, “Reliability-Based Bridge Assessment Using Risk-Ranking Decision Analysis
,” Struct. Safety
0167-4730, 23
(4
), pp. 397
–405
.14.
Hyde
, K. M.
, Maier
, H. R.
, and Colby
, C. B.
, 2004, “Reliability-Based Approach to Multicriteria Decision Analysis for Water Resources
,” J. Water Resour. Plann. Manage.
0733-9496, 130
(6
), pp. 429
–438
.15.
Leon
, D. D.
, 2006, “Reliability-Based Decision Making for Steel Connections on Seismic Zones
,” Joint International Conference on Computing and Decision Making in Civil and Building Engineering
, Montreal, Canada.16.
Rangavajhala
, S.
, and Messac
, A.
, 2010, “Designer’s Preferences Regarding Equality Constraints in Robust Design Optimization
,” Struct. Multidiscip. Optim.
1615-147X, 41
(1
), pp. 17
–38
.17.
Choi
, S. -K.
, Grandhi
, R. V.
, and Canfield
, R. A.
, 2007, Reliability-Based Structural Design
, Springer-Verlag
, London, UK
.18.
Hazelrigg
, G. A.
, 2003, “Validation of Engineering Design Alternative Selection Methods
,” Eng. Optimiz.
0305-215X, 35
(2
), pp. 103
–120
.19.
Box
, G. E.
, Hunter
, W. G.
, and Hunter
, J. S.
, 2005, Statistics for Experimenters: Design, Innovation, and Discovery
, Wiley
, New York
.20.
Bech
, M.
, and Gyrd-Hansen
, D.
, 2005, “Effects Coding in Discrete Choice Experiments
,” Health Econ
1057-9230, 14
(10
), pp. 1079
–1083
.21.
Adamowicz
, W.
, Louviere
, J.
, and Williams
, M.
, 1994, “Combining Revealed and Stated Preference Methods for Value Environmental Amenities
,” J. Envir. Econom. Manage.
0095-0696, 26
(3
), pp. 271
–292
.22.
Bendsoe
, M.
, and Sigmund
, O.
, 2003, Topology Optimization: Theory, Methods and Applications
, Springer Verlag
, New York
.23.
Kharmanda
, G.
, Olhoff
, N.
, Mohamed
, A.
, and Lemaire
, M.
, 2004, “Reliability-Based Topology Optimization
,” Struct. Multidiscip. Optim.
1615-147X, 26
(5
), pp. 295
–307
.24.
Youn
, B.
, Choi
, K. K.
, and Du
, L.
, 2005, “Enriched Performance Measure Approach in Reliability-Based Structural Optimization
,” AIAA J.
0001-1452, 43
(4
), pp. 874
–884
.25.
Sci-Tech Dictionary
, 2003, Limit State, McGraw-Hill Dictionary of Scientific and Technical Terms
, McGraw-Hill
, New York
.26.
Choi
, S. -K.
, 2008, “Reliability Assessment via Stochastic Expansion With Local Regression Method
,” 49th AIAA SDM and 10th AIAA NDA Conference
, AIAA Paper No. 2008-1982.27.
Choi
, S. -K.
, Grandhi
, R. V.
, Canfield
, R. A.
, and Pettit
, C. L.
, 2004, “Polynomial Chaos Expansion With Latin Hypercube Sampling for Estimating Response Variability
,” AIAA J.
0001-1452, 42
(6
), pp. 1191
–1198
.28.
Aceves
, S. M.
, and Berry
, G. D.
, 1998, “Thermodynamics of Insulated Pressure Vessels for Vehicular Hydrogen Storage
,” J. Energy Resour. Technol.
0195-0738, 120
(2
), pp. 137
–142
.29.
Takeichi
, N.
, Senoh
, H.
, Yokota
, T.
, Tsuruta
, H.
, Hamada
, K.
, Takeshita
, H.
, Tanaka
, H.
, Kiyobayashi
, T.
, Takano
, T.
, and Kuriyama
, N.
, 2003, “Hybrid Hydrogen Storage Vessel, a Novel High-Pressure Hydrogen Storage Vessel Combined With Hydrogen Storage Material
,” Int. J. Hydrogen Energy
0360-3199, 28
(10
), pp. 1121
–1129
.30.
U.S. Department of Energy
, 2003, “Hydrogen, and Fuel Cell and Infrastructure Technologies
,” FY 2003 Annual Progress Report.31.
Cengel
, Y. A.
, and Boles
, M. A.
, 1989, Thermodynamics and Engineering Approach
, McGraw-Hill
, New York
.32.
Colozza
, A. J.
, 2002, “Hydrogen Storage for Aircraft Applications Overview
,” NASA
, Technical Report No. NASA/CR-2002–211867.33.
Hibbeler
, R. C.
, 2004, Mechanics of Materials
, Pearson Prentice Hall
, Upper Saddle River, NJ
.34.
Honda Contributors
, 2007, “Honda Fcx Clarity Zero-Emission Hydrogen Powered Fuel Cell Sedan
,” http://automobiles.honda.com/fcx-clarity/http://automobiles.honda.com/fcx-clarity/35.
Sirosh
, N.
, Corbin
, R.
, and Niedzwiecki
, A.
, 2003, “Hydrogen Composite Tank Project
,” Technical Report.36.
Florida Solar Energy Center
, 2007, “Task 2.0 Storage of Hydrogen in Solid, Liquid, and Gaseous Forms
,” http://www.fsec.ucf.edu/en/consumer/hydrogen/basics/storage-compressed_gas.htmhttp://www.fsec.ucf.edu/en/consumer/hydrogen/basics/storage-compressed_gas.htm37.
MSC Software
, 2005, MSC PATRAN, Version 2005r2, User’s Guide.Copyright © 2010
by American Society of Mechanical Engineers
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