A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

Journal of Mechanical Design

Volumn 137, Issue 5, 2015, Pages

  Xu, Hongyi ^a   Liu, Ruoqian ^a   Choudhary, Alok ^a   Chen, Wei ^a  

^a Northwestern University   (United States)

Author keywords

informatics; machine learning; material design; microstructure descriptors

Indexed keywords

ARTIFICIAL INTELLIGENCE; DESIGN; LEARNING SYSTEMS; MICROSTRUCTURE;

DESCRIPTORS; DESIGN SPACES; INFORMATICS; LEARNING-BASED METHODS; MACHINE-LEARNING; MATERIAL SYSTEMS; MATERIALS DESIGN; MICRO-STRUCTURAL; MICROSTRUCTURAL DESIGN; MICROSTRUCTURE DESCRIPTOR;

NANOCOMPOSITES;

EID: 84924347996     PISSN: 10500472     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.4029768     Document Type: Article

References (53)

1. Li, Y., 2006, "Predicting Materials Properties and Behavior Using Classification and Regression Trees," Mater. Sci. Eng. A, 433(1-2), pp. 261-268.
2. Hemanth, K. S., Vastrad, C. M., and Nagaraju, S., 2011, "Data Mining Technique for Knowledge Discovery From Engineering Materials Data Sets,"Advances in Computer Science and Information Technology, Springer, Berlin, Heidelberg, pp. 512-522.
3. Broderick, S., Suh, C., Nowers, J., Vogel, B., Mallapragada, S., Narasimhan, B., and Rajan, K., 2008, "Informatics for Combinatorial Materials Science,"JOM, 60(3), pp. 56-59.
4. Ashby, M., 2005, Materials Selection in Mechanical Design, Butterworth- Heinemann, Burlington, MA.
5. McDowell, D. L., and Olson, G. B., 2008, "Concurrent Design of Hierarchical Materials and Structures," Sci. Model. Simul., 15(1-3), pp. 207-240.
6. Panchal, J. H., Kalidindi, S. R., and McDowell, D. L., 2012, "Key Computational Modeling Issues in Integrated Computational Materials Engineering,"Comput. Aided Des., 45 (1), pp. 4-25.
7. Karasek, L., and Sumita, M., 1996, "Characterization of Dispersion State of Filler and Polymer-Filler Interactions in Rubber Carbon Black Composites,"J. Mater. Sci., 31(2), pp. 281-289.
8. Torquato, S., 2002, Random Heterogeneous Materials: Microstructure and Macroscopic Properties, Springer-Verlag, New York.
9. Sundararaghavan, V., and Zabaras, N., 2005, "Classification and Reconstruction of Three-Dimensional Microstructures Using Support Vector Machines," Comput. Mater. Sci., 32(2), pp. 223-239.
10. Basanta, D., Miodownik, M. A., Holm, E. A., and Bentley, P. J., 2005, "Using Genetic Algorithms to Evolve Three-Dimensional Microstructures From Two- Dimensional Micrographs," Metall. Mater. Trans. A, 36(7), pp. 1643-1652.
11. Borbely, A., Csikor, F. F., Zabler, S., Cloetens, P., and Biermann, H., 2004, "Three-Dimensional Characterization of the Microstructure of a Metal-Matrix Composite by Holotomography," Mater. Sci. Eng. A, 367(1-2), pp. 40-50.
12. Yeong, C. L. Y., and Torquato, S., 1998, "Reconstructing Random Media,"Phys. Rev. E, 57(1), p. 495.
13. Xu, H., Li, Y., Brinson, L. C., and Chen, W., 2013, "Descriptor-Based Methodology for Designing Heterogeneous Microstructural Materials System,"ASME Paper No. DETC2013-12232.
14. Xu, H., Li, Y., Brinson, C., and Chen, W., 2014, "A Descriptor-Based Design Methodology for Developing Heterogeneous Microstructural Materials System," ASME J. Mech. Des., 136(5), p. 051007.
15. Liu, Y., Greene, M. S., Chen, W., Dikin, D. A., and Liu, W. K., 2013, "Computational Microstructure Characterization and Reconstruction for Stochastic Multiscale Material Design," Comput. Aided Des., 45(1), pp. 65-76.
16. Fullwood, D. T., Niezgoda, S. R., and Kalidindi, S. R., 2008, "Microstructure Reconstructions From 2-Point Statistics Using Phase-Recovery Algorithms,"Acta Mater., 56(5), pp. 942-948.
17. Vaithyanathan, V., Wolverton, C., and Chen, L. Q., 2002, "Multiscale Modeling of Precipitate Microstructure Evolution," Phys. Rev. Lett., 88(12), p. 125503.
18. Xu, H., Dikin, D., Burkhart, C., and Chen, W., 2014, "Descriptor-Based Methodology for Statistical Characterization and 3D Reconstruction for Polymer Nanocomposites," Comput. Mater. Sci., 85, pp. 206-216.
19. Rodgers, J. R., and Cebon, D., 2006, "Materials Informatics," MRS Bull. 31(12), pp. 975-980.
20. Ferris, K. F., Peurrung, L. M., and Marder, J., 2007, "Materials Informatics: Fast Track to New Materials," Adv. Mater. Processes, 165(1), pp. 50-51.
21. Wei, Q. Y., Peng, X. D., Liu, X. G., and Xie,W. D., 2006, "Materials Informatics and Study on Its Further Development," Chin. Sci. Bull., 51(4), pp. 498-504.
22. Ma, X., and Zabaras, N., 2011, "Kernel Principal Component Analysis for Stochastic Input Model Generation," J. Comput. Phys., 230(19), pp. 7311-7331.
23. Mohri, M., Rostamizadeh, A., and Talwalkar, A., 2012, Foundations of Machine Learning, MIT Press, Cambridge, MA.
24. Doreswamy, 2008, "A Survey for Data Mining Frame Work for Polymer Matrix Composite Engineering Materials Design Applications," Int. J. Comput. Intell. Syst., 1, pp. 313-328.
25. Ortiz, C., Eriksson, O., and Klintenberg, M., 2009, "Data Mining and Accelerated Electronic Structure Theory as a Tool in the Search for New Functional Materials," Comput. Mater. Sci., 44(4), pp. 1042-1049.
26. Saad, Y., Gao, D., Ngo, T., Bobbitt, S., Chelikowsky, J. R., and Andreoni, W., 2012, "Data Mining for Materials: Computational Experiments With AB Compounds," Phys. Rev. B, 85(10), p. 104104.
27. Hunt, E. B., Martin, J., and Stone, P. J., 1996, Experiments in Induction, Academic Press, New York.
28. Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J., Classification and Regression Trees, Wadsworth Inc., Belmont, CA.
29. Kira, K., and Rendell, L. A., 1992, "The Feature-Selection Problem - Traditional Methods and a New Algorithm," Proceedings of the Tenth National Conference on Artificial Intelligence, AAAI-92, pp. 129-134.
30. Kononenko, I., 1994, "Estimating Attributes: Analysis and Extensions of Relief," Machine Learning, ECML-94, L. De Raedt, and F. Bergadano, eds., Springer Verlag, Berlin, Heidelberg, pp. 171-182.
31. Robnik Sikonja, M., and Kononenko, I., 1997, "An Adaptation of Relief for Attribute Estimation in Regression," Machine Learning: Proceedings of the Fourteenth International Conference (ICML'97), D. H. Fisher, ed., Morgan Kaufmann, San Francisco, CA, pp. 296-304.
32. Rollett, A. D., Lee, S. B., Campman, R., and Rohrer, G. S., 2007, "Three- Dimensional Characterization of Microstructure by Electron Back-Scatter Diffraction," Annu. Rev. Mater. Res., 37, pp. 627-658.
33. Jean, A., Jeulin, D., Forest, S., Cantournet, S., and N'Guyen, F., 2011, "A Multiscale Microstructure Model of Carbon Black Distribution in Rubber,"J. Microsc., 241 (3), pp. 243-260.
34. Torquato, S., 2010, "Optimal Design of Heterogeneous Materials," Annu. Rev. Mater. Res., 40, pp. 101-129.
35. Yang, S., Tewari, A., and Gokhale, A. M., 1997, "Modeling of Non-Uniform Spatial Arrangement of Fibers in a Ceramic Matrix Composite," Acta Mater., 45(7), pp. 3059-3069.
36. Li, D. S., Tschopp, M. A., Khaleel, M., and Sun, X., 2012, "Comparison of Reconstructed Spatial Microstructure Images Using Different Statistical Descriptors," Comput. Mater. Sci., 51(1), pp. 437-444.
37. Tewari, A., and Gokhale, A. M., 2004, "Nearest-Neighbor Distances Between Particles of Finite Size in Three-Dimensional Uniform Random Microstructures,"Mater. Sci. Eng. A, 385 (1-2), pp. 332-341.
38. Steinzig, M., and Harlow, F., 1999, "Probability Distribution Function Evolution for Binary Alloy Solidification," Materials Society Annual Meeting, pp. 197-206.
39. Thomas, M., Boyard, N., Perez, L., Jarny, Y., and Delaunay, D., 2008, "Representative Volume Element of Anisotropic Unidirectional Carbon-Epoxy Composite With High-Fibre Volume Fraction," Compos. Sci. Technol., 68(15-16), pp. 3184-3192.
40. Holotescu, S., and Stoian, F. D., 2011, "Prediction of Particle Size Distribution Effects on Thermal Conductivity of Particulate Composites," Materialwiss. Werkstofftech., 42(5), pp. 379-385.
41. Klaysom, C., Moon, S. H., Ladewig, B. P., Lu, G. Q. M., and Wang, L. Z., 2011, "The Effects of Aspect Ratio of Inorganic Fillers on the Structure and Property of Composite Ion-Exchange Membranes," J. Colloid Interface Sci., 363(2), pp. 431-439.
42. Gruber, J., Rollett, A. D., and Rohrer, G. S., 2010, "Misorientation Texture Development During Grain Growth. Part II: Theory," Acta Mater., 58(1), pp. 14-19.
43. Ganesh, V. V., and Chawla, N., 2005, "Effect of Particle Orientation Anisotropy on the Tensile Behavior of Metal Matrix Composites: Experiments and Micro Structure-Based Simulation," Mater. Sci. Eng. A, 391(1-2), pp. 342-353.
44. Kenney, B., Valdmanis, M., Baker, C., Pharoah, J. G., and Karan, K., 2009, "Computation of TPB Length, Surface Area and Pore Size From Numerical Reconstruction of Composite Solid Oxide Fuel Cell Electrodes," J. Power Sources, 189(2), pp. 1051-1059.
45. Morozov, I. A., Lauke, B., and Heinrich, G., 2011, "A Novel Method of Quantitative Characterization of Filled Rubber Structures by AFM," Kautsch. Gummi Kunstst., 64(1-2), pp. 24-27.
46. Prakash, C. P., Mytri, V. D., and Hiremath, P. S., 2010, "Classification of Cast Iron Based on Graphite Grain Morphology Using Neural Network Approach,"Second International Conference on Digital Image Processing, Vol. 7546, pp.75462S-75462S.
47. Ostoja-Starzewski, M., 2006, "Material Spatial Randomness: From Statistical to Representative Volume Element," Probab. Eng. Mech., 21(2), pp. 112-132.
48. Deng, H., Liu, Y., Gai, D., Dikin, D. A., Putz, K., Chen, W., Brinsona, L. C., Burkhart, C., Poldneff, M., Jiang, B., and Papakonstantopoulos, G. J., 2012, "Utilizing Real and Statistically Reconstructed Microstructures for the Viscoelastic Modeling of Polymer Nanocomposites," Compos. Sci. Technol., 72(14), pp. 1725-1732.
49. Xu, H. Y., Greene, M. S., Deng, H., Dikin, D., Brinson, C., Liu, W. K., Burkhart, C., Papakonstantopoulos, G., Poldneff, M., and Chen, W., 2013, "Stochastic Reassembly Strategy for Managing Information Complexity in Heterogeneous Materials Analysis and Design," ASME J. Mech. Des., 135(10), p. 101010.
50. Zheng, W., and Wong, S. C., 2003, "Electrical Conductivity and Dielectric Properties of PMMA/Expanded Graphite Composites," Compos. Sci. Technol., 63(2), pp. 225-235.
51. Cuthill, E., and McKee, J., 1969, "Reducing the Bandwidth of Sparse Symmetric Matrices," Proceedings of the 24th National Conference, ACM, pp. 157-172.
52. Breneman, C. M., Brinson, L. C., Schadler, L. S., Natarajan, B., Krein, M., Wu, K., Morkowchuk, L., Li, Y., Deng, H., and Xu, H., 2013, "Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers," Adv. Funct. Mater., 23(46), pp. 5746-5752.
53. Jin, R., Chen, W., and Simpson, T. W., 2001, "Comparative Studies of Metamodelling Techniques Under Multiple Modelling Criteria," Struct. Multidiscip. Optim., 23(1), pp. 1-13.