The effects of the concentrations of NiSO4•6H2O, NaH2PO2•H2O and complexing agents in bath, temperature, pH, SiC concentration etc. on deposition rate of electroless Ni-P plating were systematically studied. The appropriate deposition rate of electroless Ni-P plating (17μm h-1) was obtained at the optimal conditions. The deposition reaction dynamics of electroless Ni-P plating on AZ91D magnesium alloy was discussed and the corresponding kinetic model was also determined based on the corresponding experimental results.
The fatigue life prognosis of concrete is becoming more important with the development for demanding higher quality and safety in industrial. However, effective methods for this prognosis are still in need now, due to the feature of concrete. This paper proposes the extended grey Markov model (i.e. EGMM) for fatigue life prognosis of concrete. Firstly, the GM (1, 1, λ1, λ2) (i.e. EGM) is proposed by integrating the particle swarm optimization algorithm (PSOA) with GM (1, 1) (i.e. GM). Then the Markov model is integrated with EGM and a novel prognosis method of the extended grey Markov model is proposed. The EGMM is used to combine the health states and transition probability. And a real case study is used to demonstrate the implementation and potential applications of the proposed fatigue life prognosis approach on concrete.
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