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Effects of asymmetric rolling process on ridging resistance of ultra-purified 17%Cr ferritic stainless steel 被引量:2
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作者 Cheng-zhuang Lu Jing-yuan Li Zhi Fang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2018年第2期216-225,共10页
In ferritic stainless steels, a significant non-uniform recrystallization orientation and a substantial texture gradient usually occur, which can degrade the ridging resistance of the final sheets. To improve the homo... In ferritic stainless steels, a significant non-uniform recrystallization orientation and a substantial texture gradient usually occur, which can degrade the ridging resistance of the final sheets. To improve the homogeneity of the recrystallization orientation and reduce the texture gradient in ultra-purified 17%Cr ferritic stainless steel, in this work, we performed conventional and asymmetric rolling processes and conducted macro and micro-texture analyses to investigate texture evolution under different cold-rolling conditions. In the conventional rolling specimens, we observed that the deformation was not uniform in the thickness direction, whereas there was homogeneous shear deformation in the asymmetric rolling specimens as well as the formation of uniform recrystallized grains and random orientation grains in the final annealing sheets. As such, the ridging resistance of the final sheets was significantly improved by employing the asymmetric rolling process. This result indicates with certainty that the texture gradient and orientation inhomogeneity can be attributed to non-uniform deformation, whereas the uniform orientation gradient in the thickness direction is explained by the increased number of shear bands obtained in the asymmetric rolling process. 展开更多
关键词 ferritic stainless steel asymmetric rolling surface ridging texture shear bands
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Modification of wettability of stainless steel by picosecond laser surface microstructuring 被引量:5
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作者 Zongjie Bao Chengwei Wang +1 位作者 Yang Zhang Quan-Zhong Zhao 《Photonics Research》 SCIE EI 2015年第4期180-183,共4页
We report on the modification of the wettability of stainless steel by picosecond laser surface microstructuring in this paper. Compared with traditional methods, picosecond laser-induced surface modification provides... We report on the modification of the wettability of stainless steel by picosecond laser surface microstructuring in this paper. Compared with traditional methods, picosecond laser-induced surface modification provides a fast and facile method for surface modification without chemical damage and environmental pollution. As a result of treatment by 100 ps laser pulses, microstructures are fabricated on the stainless steel sample surface, contributing to the increase of the contact angle from 88° to 105°, which realizes a transformation from hydrophilicity to hydrophobicity. The morphological features of fabricated microstructures are characterized by scanning electron microscopy and optical microscopy. 展开更多
关键词 AISI As Modification of wettability of stainless steel by picosecond laser surface microstructuring
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Strength Prediction of Aluminum–Stainless Steel-Pulsed TIG Welding–Brazing Joints with RSM and ANN 被引量:7
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作者 Huan He Chunli Yang +2 位作者 Zhe Chen Sanbao Lin Chenglei Fan 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2014年第6期1012-1017,共6页
Pulsed TIG welding–brazing process was applied to join aluminum with stainless steel dissimilar metals. Major parameters that affect the joint property significantly were identified as pulsed peak current, base curre... Pulsed TIG welding–brazing process was applied to join aluminum with stainless steel dissimilar metals. Major parameters that affect the joint property significantly were identified as pulsed peak current, base current, pulse on time,and frequency by pre-experiments. A sample was established according to central composite design. Based on the sample,response surface methodology(RSM) and artificial neural networks(ANN) were employed to predict the tensile strength of the joints separately. With RSM, a significant and rational mathematical model was established to predict the joint strength.With ANN, a modified back-propagation algorithm consisting of one input layer with four neurons, one hidden layer with eight neurons, and one output layer with one neuron was trained for predicting the strength. Compared with RSM, average relative prediction error of ANN was /10% and it obtained more stable and precise results. 展开更多
关键词 Welding–brazing Aluminum stainless steel Response surface methodology(RSM) Artificial neural networks(ANN) Prediction
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Effects of C,N-Codoped on the Corrosion Resistance of TiO_2 Films Prepared by Plasma Surface Alloying and Thermal Oxidation Duplex Process 被引量:1
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作者 王鹤峰 唐宾 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2011年第3期495-498,共4页
C,N-codoped TiO 2 films have been deposited onto stainless steel substrates using plasma surface alloying and thermal oxidation duplex process.Composition analysis shows that the films shield the substrates entirely.T... C,N-codoped TiO 2 films have been deposited onto stainless steel substrates using plasma surface alloying and thermal oxidation duplex process.Composition analysis shows that the films shield the substrates entirely.The TiO 2 films are anatase in structure as characterized by X-ray diffraction.The electrochemical measurements show that the equilibrium corrosion potential positively shifts from-0.275 eV for bare stainless steel to-0.267 eV for C,N-codoped TiO 2 coated stainless steel,and the corrosion current density decreases from 1.3×10-5 A/cm2 to 4.1×10-6 A/cm2.The corrosion resistance obtained by electrochemistry noise also reveals that the C,N-codoped TiO 2 films provide good protection for stainless steel against corrosion in stimulated body fluid.The above results indicate that C,N-codoped TiO 2 films deposited by plasma surface alloying and thermal oxidation duplex process are effective in protecting stainless steel from corrosion. 展开更多
关键词 plasma surface alloying titanium dioxide C N-codoped corrosion stainless steel electrochemistry noise
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Quantitative Modeling for Corrosion Behavior in Complex Coupled Environment by Response Surface Methodology
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作者 Jing Liu Tao Zhang +4 位作者 Wei Zhang Yan-Ge Yang Ya-Wei Shao Guo-Zhe Meng Fu-Hui Wang 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2015年第8期994-1001,共8页
Response surface methodology(RSM) is introduced into corrosion research as a tool to assess the effects of environmental factors and their interactions on corrosion behavior and establish a model for corrosion predi... Response surface methodology(RSM) is introduced into corrosion research as a tool to assess the effects of environmental factors and their interactions on corrosion behavior and establish a model for corrosion prediction in complex coupled environment(CCE). In this study, a typical CCE, that is, the corrosion environment of pipelines in gas field is taken as an example. The effects of environmental factors such as chloride concentration, pH value and pressure as well as their interactions on critical pitting temperature(CPT) were evaluated, and a quadratic polynomial model was developed for corrosion prediction by RSM. The results showed that the model was excellent in corrosion prediction with R2= 0.9949. CPT was mostly affected by single environmental factor rather than interaction, and among the whole factors, chloride concentration was the most influential factor of CPT. 展开更多
关键词 Response surface methodology Quantitative modeling 316L stainless steel Critical pitting temperature
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