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Founded in 1987， Bimonthly
Supervisor：Jiangxi University Of Science And Technology
Sponsored by：Jiangxi University Of Science And Technology
Jiangxi Nonferrous Metals Society
ISSN：1674-9669
CN：36-1311/TF
CODEN YJKYA9
Volume 12 Issue 4
Aug.  2021
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Abstract
References
ZHOU Langya, WANG Richu, WANG Xiaofeng, CAI Zhiyong, DONG Cuige. On the hot deformation behavior and constitutive model of SiCp/2014Al composites[J]. Nonferrous Metals Science and Engineering, 2021, 12(4): 66-74. DOI: 10.13264/j.cnki.ysjskx.2021.04.009
Citation: ZHOU Langya, WANG Richu, WANG Xiaofeng, CAI Zhiyong, DONG Cuige. On the hot deformation behavior and constitutive model of SiCp/2014Al composites[J]. Nonferrous Metals Science and Engineering, 2021, 12(4): 66-74. DOI: 10.13264/j.cnki.ysjskx.2021.04.009
shu

On the hot deformation behavior and constitutive model of SiCp/2014Al composites

  • 1.

    School of Materials Science and Engineering, Central South University, Changsha 410083, China

  • 2.

    Hunan Provincial Key Laboratory of Electronic Packaging and Advanced Functional Materials, Changsha 410083, China

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  • Received Date: March 18, 2021
  • Published Date: August 30, 2021
    Graphical Abstract
    • Abstract
  • The hot deformation behavior of silicon carbide particles reinforced aluminum matrix composite (SiCp/Al) was investigated by isothermal compression testing at temperatures of 350 ℃, 400 ℃, 450 ℃, and 450 ℃ as well as strain rates of 0.001~1 s-1 on a Gleeble-3180 simulator. Based on the true strain-true stress data of hot compression experiment, the modified Johnson-Cook constitutive model (M-JC) was constructed, considering the coupling effects of strain, strain rate and deformation temperature on flow stress, and the Artificial neuron network models (ANN) was established. The results show that the flow stress of SiCp/2014Al composite increases with the increase of stain rate and the decrease of temperature. Compared with the M-JC model, the ANN model has a lower root mean square error of 0.51 MPa, a lower average absolute error of 1.43%, and a higher correlation coefficient (0.999 7), which indicates that the ANN that it has higher prediction accuracy and reliability in the prediction of the hot deformation behavior of SiCp/2014Al composite.
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    • References (29)
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