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Journal of Materials Science

, Volume 42, Issue 8, pp 2565–2573 | Cite as

Artificial neural network prediction of heat-treatment hardness and abrasive wear resistance of High-Vanadium High-Speed Steel (HVHSS)

  • Xu Liujie
  • Xing Jiandong
  • Wei Shizhong
  • Peng Tao
  • Zhang Yongzhen
  • Long Rui
Article

Abstract

The hardness and abrasive wear resistance were measured after High-Vanadium High-Speed Steel (HVHSS) were quenched at 900 °C–1100 °C, and then tempered at 250 °C–600 °C. Via one-hidden-layer and two-hidden-layer Back-Propagation (BP) neural networks, the non-linear relationships of hardness (H) and abrasive wear resistance (ε) vs. quenching temperature and tempering temperature (T1, T2) were established, respectively, on the base of the experimental data. The results show that the well-trained two-hidden-layer networks have rather smaller training errors and much better generalization performance compared with well-trained one-hidden-layer neural networks, and can precisely predict hardness and abrasive wear resistance according to quenching and tempering temperatures. The prediction values have sufficiently mined the basic domain knowledge of heat treatment process of HVHSS. Therefore, a new way of predicting hardness and wear resistance according to heat treatment technique was provided by the authors.

Keywords

Austenite Martensite Wear Resistance Abrasive Wear Heat Treatment Temperature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work is supported by Key Scientific and Technological Breakthrough Project of Henan Province, China (No.0322020300).

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Copyright information

© Springer Science+Business Media, LLC 2006

Authors and Affiliations

  • Xu Liujie
    • 1
  • Xing Jiandong
    • 1
  • Wei Shizhong
    • 2
    • 3
  • Peng Tao
    • 3
  • Zhang Yongzhen
    • 3
  • Long Rui
    • 2
  1. 1.State Key Laboratory for Mechanical Behavior of MaterialsXi’an Jiaotong UniversityXi’anP.R. China
  2. 2.Henan Engineering Research Center for Wear of MaterialLuoyangP.R. China
  3. 3.School of Materials Science and EngineeringHenan University of Science and TechnologyLuoyangP.R. China

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