Simulation of structural features on mechanochemical synthesis of Al 2O 3-TiB 2 nanocomposite by optimized artificial neural network

Advanced Powder Technology

Volumn 23, Issue 2, 2012, Pages 220-227

  Nazari, Ali Ghafari ^a   Mozafari, Masoud ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ANN; Crystalline state; Mechanochemical; Taguchi method; X ray analysis

Indexed keywords

ANN; BACKPROPAGATION LEARNING; BORIC ACIDS; CRYSTALLINE STATE; DIBORIDES; INTERPLANAR DISTANCE; LATTICE STRAIN; MECHANOCHEMICAL PROCESS; MECHANOCHEMICAL SYNTHESIS; MECHANOCHEMICALS; PURE ALUMINUM; STRUCTURAL EVOLUTION; STRUCTURAL FEATURE; TAGUCHI; THREE-LAYER; X-RAY POWDER DIFFRACTOMETRY; XRD;

ALUMINA; AMORPHIZATION; BACKPROPAGATION; BORIDES; CRYSTALLINE MATERIALS; INORGANIC ACIDS; NANOCOMPOSITES; OPTIMIZATION; TAGUCHI METHODS; TITANIUM; TITANIUM DIOXIDE; X RAY ANALYSIS;

NEURAL NETWORKS;

EID: 84858324932     PISSN: 09218831     EISSN: 15685527     Source Type: Journal    
DOI: 10.1016/j.apt.2011.02.011     Document Type: Article

References (29)

1. 2-SiC composite Journal of the American Ceramic Society 79 1996 177 182 (Pubitemid 126548411)
2. 3 particles Materials Science and Engineering: A 486 2008 167 170 (Pubitemid 351606883)
3. 3 composite powder Materials Science and Engineering: A 426 2006 229 234 (Pubitemid 43842894)
4. 2 in situ composite by SHS dynamic compaction: a novel approach Composites Science and Technology 67 2007 2447 2453 (Pubitemid 46760234)
5. A.R. Keller, and M. Zhou Effect of microstructure on dynamic failure resistance of titanium diboride/alumina ceramics Journal of the American Ceramic Society 86 2003 449 457
6. 2 composite powder produced by high-energy mechanical milling Materials Science and Engineering: A 449-451 2007 1107 1110
7. C. Suryanarayana Mechanical alloying and milling Progress in Materials Science 46 2001 1 184 (Pubitemid 32071564)
8. J.M. Xue, D.M. Wan, and J. Wang Functional ceramics of nanocrystallinity by mechanical activation Solid State Ionics 151 2002 403 412 (Pubitemid 35420945)
9. J. Wang, J. Xue, and D. Wan How different is mechanical activation from thermal activation? A case study with PZN and PZN-based relaxors Solid State Ionics 127 2000 169 175 (Pubitemid 30545382)
10. S. Agatonovic-Kustrin, V. Wu, T. Rades, D. Saville, and I.G. Tucker Powder diffractometric assay of two polymorphic forms of ranitidine hydrochloride International Journal of Pharmaceutics 184 1999 107 114 (Pubitemid 29309000)
11. S. Agatonovic-Kustrin, V. Wu, T. Rades, D. Saville, and I.G. Tucker Ranitidine hydrochloride X-ray assay using a neural network Journal of Pharmaceutical and Biomedical Analysis 22 2000 985 992 (Pubitemid 30254331)
12. R. Roy A Primer on the Taguchi Method 1990 Van Nostrand Reinhold New York
13. S. Bose, D. Shome, and C.K. Das Characterisation of syndiotactic polystyrene/carbon nanofiber composites through X-ray diffraction using adaptive neuro-fuzzy interference system and artificial neural network Archives of Computational Materials Science and Surface Engineering 1 2009 197 204
14. H. Baseri, S.M. Rabiee, F. Moztarzadeh, and M. Solati-Hashjin Mechanical strength and setting times estimation of hydroxyapatite cement by using neural network Materials and Design 31 2010 2585 2591
15. H. Demuth, and M. Beale Neural Network Toolbox for Use with MATLAB 1998 The MathWorks, Inc. Massachusetts
16. S. Sivanandam, S. Sumathi, and S. Deepa Introduction to Neural Networks Using Matlab 6 2006 Tata McGraw-Hill Publishing Company Limited
17. C.G. Zampronio, J.J.R. Rohwedder, and R.J. Poppi Artificial neural networks applied to potentiometric acid-base flow injection titrations Chemometrics and Intelligent Laboratory Systems 62 2002 17 24 (Pubitemid 34234815)
18. 2 laser using artificial neural networks and genetic algorithms Optics and Laser Technology 40 2008 1000 1007
19. Y. Watanabe, T. Umegaki, M. Hashimoto, K. Omata, and M. Yamada Optimization of Cu oxide catalysts for methanol synthesis by combinatorial tools using 96 well microplates, artificial neural network and genetic algorithm Catalysis Today 89 2004 455 464
20. S. Agatonovic-Kustrin, B.D. Glass, M. Mangan, and J. Smithson Analysing the crystal purity of mebendazole raw material and its stability in a suspension formulation International Journal of Pharmaceutics 361 2008 245 250
21. S.M. Sapuan, and I.M. Mujtaba Composite Materials Technology Neural Network Applications 2010 CRC Press Florida
22. S. Trenn Multilayer perceptrons: approximation order and necessary number of hidden units IEEE Transactions on Neural Networks 19 2008 836 844 (Pubitemid 351728819)
23. M. Nakamura, R. Mines, and V. Kreinovich Guaranteed intervals for Kolmogorov's theorem (and their possible relation to neural networks) Interval Computations 3 1993 183 199
24. J.R. Mohanty, B.B. Verma, D.R.K. Parhi, and P.K. Ray Application of artificial neural network for predicting fatigue crack propagation life of aluminum alloys Archives of Computational Materials Science and Surface Engineering 1 2009 133 138
25. A.R. YildIz A new design optimization framework based on immune algorithm and Taguchi's method Computers in Industry 60 2009 613 620
26. 3 using the Taguchi method Powder Technology 199 2010 264 271
27. 3 Journal of Alloys and Compounds 502 2010 508 512
28. V. Capecchi, M. Buscema, P. Contucci, and B. D'Amore Applications of Mathematics in Models, Artificial Neural Networks and Arts 2010 Springer Heidelberg, Dordrecht, London, New York
29. 3 (0 0 0 1) surface Surface Science 474 2001 107 113 (Pubitemid 32875411)