N. Nayebpashaee, H. Vafaeenezhad, Sh. Kheirandish,  and M. Soltanieh, Experimental and numerical study on plasma nitriding of AISI P20 mold steel, Int. J. Miner. Metall. Mater., 23(2016), No. 9, pp. 1065-1075. https://doi.org/10.1007/s12613-016-1324-y
Cite this article as:
N. Nayebpashaee, H. Vafaeenezhad, Sh. Kheirandish,  and M. Soltanieh, Experimental and numerical study on plasma nitriding of AISI P20 mold steel, Int. J. Miner. Metall. Mater., 23(2016), No. 9, pp. 1065-1075. https://doi.org/10.1007/s12613-016-1324-y

Experimental and numerical study on plasma nitriding of AISI P20 mold steel

+ Author Affiliations
  • Corresponding author:

    N. Nayebpashaee    E-mail: Nayebpashaee@iust.ac.ir

  • Received: 12 January 2015Revised: 26 February 2016Accepted: 28 February 2016
  • In this study, plasma nitriding was used to fabricate a hard protective layer on AISI P20 steel, at three process temperatures (450°C, 500°C, and 550°C) and over a range of time periods (2.5, 5, 7.5, and 10 h), and at a fixed gas N2:H2 ratio of 75vol%:25vol%. The morphology of samples was studied using optical microscopy and scanning electron microscopy, and the formed phase of each sample was determined by X-ray diffraction. The elemental depth profile was measured by energy dispersive X-ray spectroscopy, wavelength dispersive spectroscopy, and glow dispersive spectroscopy. The hardness profile of the samples was identified, and the microhardness profile from the surface to the sample center was recorded. The results show that ε-nitride is the dominant species after carrying out plasma nitriding in all strategies and that the plasma nitriding process improves the hardness up to more than three times. It is found that as the time and temperature of the process increase, the hardness and hardness depth of the diffusion zone considerably increase. Furthermore, artificial neural networks were used to predict the effects of operational parameters on the mechanical properties of plastic mold steel. The plasma temperature, running time of imposition, and target distance to the sample surface were all used as network inputs; Vickers hardness measurements were given as the output of the model. The model accurately reproduced the experimental outcomes under different operational conditions; therefore, it can be used in the effective simulation of the plasma nitriding process in AISI P20 steel.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Share Article

    Article Metrics

    Article Views(190) PDF Downloads(10) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return