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Influence Of Sr On The Mechanical And Corrosion Resisance Properties Of ZA35 Alloy

Posted on:2016-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:G YangFull Text:PDF
GTID:2311330482479808Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
In order to further improve the mechanical performance of ZA35 alloy, the stabilization treatment and solid solution aging heat treatment are applied on ZA35 alloy by Sr element addition in this research. The influence of Sr element on microstructure and properties of ZA35 alloy is studied through the mechanical properties, wear resistance and electrochemical performance testing, and the effect mechanism is also discussed.After adding alloy element Sr to ZA35 alloy, the microstructure has different degree of refinement. When the Sr content reaches to 0.3%, the microstructure refinement is the most obvious. With the addition of alloy element Sr, mechanical properties of ZA35 alloy first increase then decrease. When Sr content is 0.3%, the alloy has optimum mechanical properties, the tensile strength of 410 Mpa, the elongation of 1.62%, Brinell hardness of 114.After stabilizing treatment of 350?×4h for ZA35-0.3 Sr alloy, the best hardness value obtained is 109 HBS. Meanwhile, the uniform microstructure and the optimum comprehensive mechanical performance is abtained. The corrosion current density of the alloy in 3.5% NaCl solution after electrochemical corrosion experiment is 14.06?A/cm2, which is only 24.31% of that in the alloy without stabilizing treatment. It shows that corrosion resistance of the alloy is greatly enhanced.The influence of process parameters on the mechanical properties of the alloy is predicted under heat treatmenthrough through the establishment of artificial neural network model. The input parameters of the heat treatment model are solid solution time, solution temperature, aging time and aging temperature. The output parameter is hardness. The model can predict mechanical properties of ZA35 0.3 Sr alloy under different parameters, and the most suitable heat treatment process parameters are recommended. It is concluded that the predicted results are in good agreement with the experimental results by the network training, showing that the artificial network training is more successful. The heat treatment suited for ZA35-0.3Sr alloy is recommended finally:solution temperature 350?, solution time 0.5 h, ageing temperature 120 ?, aging time 3h.
Keywords/Search Tags:ZA35-0.3Sr alloy, mechanical properties, micro-structure, stabilizing treatment, heat treatment, electrochemical property, artificial neural network
PDF Full Text Request
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