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Using Neural Networks to Examine the Sensitivity of Composite Material Mechanical Properties to Processing Parameters

Journal Article
2016-01-0499
ISSN: 1946-3979, e-ISSN: 1946-3987
DOI: https://doi.org/10.4271/2016-01-0499
Published April 05, 2016 by SAE International in United States
Using Neural Networks to Examine the Sensitivity of Composite Material Mechanical Properties to Processing Parameters
Sector:
Citation: Zhang, X. and Johrendt, J., "Using Neural Networks to Examine the Sensitivity of Composite Material Mechanical Properties to Processing Parameters," SAE Int. J. Mater. Manf. 9(3):737-745, 2016, https://doi.org/10.4271/2016-01-0499.
Language: English

References

  1. Bhadeshia , H. K. D. H. Neural Networks in Materials Science ISIJ International 1999
  2. Al-Assadi , M. , Kadi , H. E. , & Deiab , I. M. Predicting the fatigue life of different composite materials using artificial neural networks Appl Compos Mater 1 14 2010
  3. Al-Assadi , M. , Kadi , H. E. , & Deiab , I. M. Using artificial neural networks to predict the fatigue life of different composite materials including the stress ratio effect Appl Compos Mater 297 309 2011
  4. Vassilopoulos Anastasios P. , Georgopoulos Efstratios F. , Vasileios Dionysopoulos Artificial neural networks in spectrum fatigue life prediction of composite materials International Journal of Fatigue 20 29 2007
  5. Chawla , Krishan K. Composite Materials Science and Engineering New York Springer 2012
  6. Che , D. , Saxena , I. , Han , P. , Guo , P. , & Ehmann , K. F. Machining of carbon fiber reinforced plastics/polymers: A literature review Journal of Manufacturing Science and Engineering 2014
  7. Samarasinghe , Sandhya Neural Networks for Applied Sciences and Engineering New York Auerbach Publications 2006
  8. Xu , J. A genetic neural network for predicting materials mechanical properties Natural Computation 710 714 2007
  9. Koehn , Philipp Combining Genetic Algorithm and Neural Networks Knoxville The University of Tennessee 1994
  10. Wang , Xiaochuan 43 Cases analysis for neural network by MATLAB Beijing Publisher of Beihang University 2013
  11. Xu , Z. Predicting Composite Material Performance for LFT-D Processing Parameters by Artificial Neural Network MASc Thesis Department of Mechanical, Material, and Automotive: University of Windsor Windsor, Ontario, Canada 2015
  12. Goldman , Robert W. Development of a Rollover-Warning Device for Road Vehicles Department of Mechanical and Nuclear Engineering: The Pennsylvania State University 2001

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