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Neuro-finite element application in material characterization using small punch test

  • Krishna K. Pathak , Krishna K. Dwivedi , Mukesh Pandey , A. H. Yegneshwara und E. Ramadasan
Veröffentlicht/Copyright: 11. Juni 2013
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International Journal of Materials Research
Aus der Zeitschrift International Journal of Materials Research Band 102 Heft 5

Abstract

Estimation of accurate in-service life is of great importance to the power generating industries, especially thermal and nuclear power plants. Since only a small amount of material is available for testing purposes, a miniature test is found to be of immense utility. In this study, six hundred and sixty finite element simulations of the small punch test were carried out considering different material and frictional parameters. Based on these results, five neural network models were developed. Successfully trained artificial neural networks were used to predict flow properties and yield stress. The artificial neural network results were finally validated with the experimental results and the two most suitable models were selected. The proposed approach offers a powerful reverse engineering tool for material characterization.

Keywords: Load stroke; Small punch test; FE Model; Artificial neural networks
* Correspondence address, Dr. K. K. Pathak Scientist, Advanced Materials and Processes Research Institute (CSIR) Hoshangabad Road Near Habibganj Naka Bhopal (M. P.), India 462026 Tel.: +91 94 2530 3685, +91 755 245 7105 (Ext. 1246) Fax: +91 755 245 7042 E-mail:

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Received: 2009-10-28
Accepted: 2011-3-3
Published Online: 2013-06-11
Published in Print: 2011-05-01

© 2011, Carl Hanser Verlag, München

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https://doi.org/10.3139/146.110512
Schlagwörter für diesen Artikel
Load stroke; Small punch test; FE Model; Artificial neural networks

Artikel in diesem Heft

  1. Original Contributions
  2. Alloying effect on microstructure and mechanical properties of thermomechanically processed Ni3(Si,Ti) alloys
  3. Contents
  4. Contents
  5. Original Contributions
  6. Neuro-finite element application in material characterization using small punch test
  7. Multi-phase biocomposite material in-situ fabricated by using hydroxyapatite and amorphous nanosilica
  8. Particularities of the formations of bainite and martensite/austenite phase in low carbon low alloy steels during continuous cooling
  9. Texture analysis of polymer modified bitumen images
  10. Influence of nitridation time on microstructure, morphology and optical properties of GaN nanowires by nitridizing Ga2O3/Cr thin films
  11. Deformation behaviour of freestanding single-crystalline Ni3Al-based nanoparticles
  12. Precipitation strengthening in high manganese austenitic TWIP steels
  13. Effects of pre-deformation and subsequent low-temperature annealing on transformation, mechanical properties and shape memory behavior of a Ti-rich TiNi alloy
  14. Enhancement in optical transmission of ZnO: Al film by c-orientation arrayed growth
  15. Physical and mechanical behavior of high strength self-compacting concrete containing ZrO2 nanoparticles
  16. Experimental and numerical studies of metallic powders subjected to cold isostatic pressing
  17. Consumption of Cu pad during multiple reflows of Ni-doped SnAgCu solder
  18. Nanocrystalline CdS thin films prepared by sol-gel spin coating
  19. An energy absorption system based on carbon nanotubes and non-aqueous liquid
  20. People
  21. Professor Dr.-Ing. Jürgen Haußelt zum 65. Geburtstag
  22. DGM News
  23. DGM News
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