Characterization and performance prediction of jet pulse electrodeposited Ni-SiC nanocomposites by means of artificial neural networks
Characterization and performance prediction of jet pulse electrodeposited Ni-SiC nanocomposites by means of artificial neural networks
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DOI：
10.1016/j.ceramint.2018.02.075
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发表时间：
2018-05
影响因子：
5.2
通讯作者：
Xu Peng;Xiuying Xu;Jeremy Wang
中科院分区：
文献类型：
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作者：
Xu Peng;Xiuying Xu;Jeremy Wang
在本研究中，利用喷射脉冲电沉积技术成功地在Q325钢基体上沉积了Ni-SiC纳米复合材料。采用扫描电子显微镜（SEM）、透射电子显微镜（TEM）、x射线光电子能谱（XPS）、洛氏硬度测试和电化学仪器对Ni-SiC纳米复合材料的形貌、显微组织、显微硬度值和腐蚀性能进行了研究。利用BP人工神经网络预测了Ni-SiC纳米复合材料的显微硬度和腐蚀性能，并与实验值进行了比较。结果表明，在脉冲电流密度为4 A/dm2、SiC颗粒浓度为5 g/l、射流速率为5.5 m/s的条件下，制备的Ni-SiC纳米复合材料的显微硬度最高可达~ 884.2 HV。相比之下，在电流密度为4 A/dm2、SiC颗粒浓度为5 g/l、射流速率为5.5 m/s时获得的Ni-SiC纳米复合材料表面呈较小的总状花序状，微观结构光滑、细腻、均匀。Ni和SiC纳米颗粒的平均晶粒尺寸分别为53.4 nm和28.7 nm。在电流密度为3 A/dm2、SiC颗粒浓度为3 g/l、射流速率为4 m/s时，制备的Ni - SiC纳米复合材料中Ni和Si的浓度分别为71.4 at%和11.7 at%。在电流密度为4 A/dm2、SiC颗粒浓度为5 g/l、喷射速度为5.5 m/s时，沉积的Ni-SiC纳米复合材料的腐蚀电流密度最小为5.1 × 10−5A/cm2，阻抗值最大，具有最佳的防腐能力。采用BP模型预测的Ni-SiC纳米复合材料的最大显微硬度和腐蚀质量损失分别为3.1%和3.4%。结果表明，BP模型可以有效地预测Ni-SiC纳米复合材料的显微硬度和腐蚀质量损失。
In this study, Ni-SiC nanocomposites were successfully deposited on Q325 steel substrates using jet pulse electrodeposition. Morphologies, microstructures, microhardness values and corrosion properties of Ni-SiC nanocomposites were examined by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), Rockwell hardness testing, and electrochemical apparatus. Microhardness and corrosion properties of Ni-SiC nanocomposites were then predicted by BP artificial neural network and compared to experimental values. Results demonstrated that as-prepared Ni-SiC nanocomposites at pulse current density of 4 A/dm2, SiC particle concentration of 5 g/l and jet rate of 5.5 m/s exhibited maximum microhardness reaching up to ~ 884.2 HV. By contrast, Ni-SiC nanocomposite obtained at current density of 4 A/dm2, SiC particle concentration of 5 g/l and jet rate of 5.5 m/s showed smaller racemule-like surface morphology with smooth, fine, and uniform microstructures. Average grain sizes of Ni grains and SiC nanoparticles were estimated to 53.4 nm and 28.7 nm, respectively. Concentrations of Ni and Si in Ni–SiC nanocomposite fabricated at current density of 3 A/dm2, SiC particle concentration of 3 g/l and jet rate of 4 m/s were recorded as 71.4 at% and 11.7 at%, respectively. Corrosion current density of Ni–SiC nanocomposite deposited at current density of 4 A/dm2, SiC particle concentration of 5 g/l and jet rate of 5.5 m/s revealed minimum corrosion current density of 5.1 × 10−5A/cm2and maximum impedance value, demonstrating the optimal anticorrosion ability. MaximumMEsof microhardness and corrosion mass loss of Ni–SiC nanocomposite predicted by proposed BP model were estimated to 3.1% and 3.4%, respectively. These findings suggested that BP model could effectively predict microhardness and corrosion mass loss of Ni–SiC nanocomposites.