Huamiao Wang
Shanghai Jiao Tong University
Ultimate tensile strengthDeformation (engineering)Composite materialMetallurgyMaterials scienceDeformation mechanismTension (physics)Magnesium alloyExtrusionAlloyCrystal plasticityTorsion (mechanics)Texture (crystalline)Slip (materials science)ViscoplasticityCrystal twinningNeutron diffractionPlasticityMicrostructure
88Publications
24H-index
2,547Citations
Publications 86
Newest
#1Xianyun Zhu (CSU: Central South University)
#2Yuqian Wang (UNR: University of Nevada, Reno)H-Index: 1
Last. Yanyao Jiang (UNR: University of Nevada, Reno)H-Index: 48
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Abstract null null Comprehensive experiments including monotonic tension and monotonic compression of specimens taken from a rolled AZ31B Mg thick plate along five different material orientations with respect to the rolled direction (RD), and free-end torsion of a tubular specimen machined along the thickness direction (ND) were conducted. The experimental results were used to evaluate an elastic-viscoplastic self-consistent model with the consideration of twinning and detwinning (EVPSC-TDT) on ...
1 CitationsSource
#1Maziar Toursangsaraki (SJTU: Shanghai Jiao Tong University)
#2Quan Li (SJTU: Shanghai Jiao Tong University)
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Abstract null null The gradient material exposure to frictional heat and plastic flow during friction stir welding leads to local variations in microstructure and mechanical properties among different joint zones. This study aims to predict strengthening contributions of local microstructural evolutions including precipitate distribution, crystal morphologies, grain size, and dislocation density for friction stir welded joints of AA2195-T6. These effects are included by a unified microstructure-...
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#1Huamiao Wang (SJTU: Shanghai Jiao Tong University)H-Index: 24
#2X. Sun (SJTU: Shanghai Jiao Tong University)
Last. Peidong Wu (McMaster University)H-Index: 51
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Abstract null null To overcome the limitation in formability at room temperature, manufacturers have developed magnesium alloys with remarkable properties by adding rare-earth elements. The rare-earth magnesium alloys behave differently from the conventional alloys, especially with respect to their coupled anisotropic and strain rate sensitive behavior. In the current work, such behavior of the rare-earth Mg alloy ZEK100 sheet at room temperature is investigated with the aid of the elastic visco...
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#1Gaoming Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 7
#2Leyun Wang (SJTU: Shanghai Jiao Tong University)H-Index: 19
Last. Xiaoqin Zeng (SJTU: Shanghai Jiao Tong University)H-Index: 36
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Abstract Grain refinement can significantly change the tensile behavior of Mg alloys. The underlying mechanisms are unclear yet. Here we report that grain refinement of a Mg–3Al–3Sn (wt.%, AT33) alloy increases the yield strength ( σ 0.2 ) following the Hall-Petch law, while decreases the strain hardening exponent (h). Tensile stress-strain curves and lattice strain evolution of four rolled AT33 samples with different grains sizes (10–97 μm) can be simulated by an elastic-viscoplastic self-consi...
2 CitationsSource
#1Qichang He (SJTU: Shanghai Jiao Tong University)
#2Xiaodan Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 1
Last. Peidong Wu (McMaster University)H-Index: 51
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Experimental observations indicate that pre-deformation can influence the mechanical properties of magnesium alloys. However, inconsistent or even contradictory conclusions have been drawn mainly due to the difficulty of isolating an individual influencing factor from those playing interactive roles in an experiment. Therefore, a systematical study in terms of crystal plasticity modeling is performed to evaluate the effect of pre-deformation (pre-rolling and pre-compression) in the current work....
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#1Wei Dai (SJTU: Shanghai Jiao Tong University)H-Index: 1
#2Huamiao Wang (SJTU: Shanghai Jiao Tong University)H-Index: 24
Last. Carlos N. Tomé (LANL: Los Alamos National Laboratory)H-Index: 80
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Abstract Though physics-based crystal plasticity models are able to accurately predict the material response under complex loading conditions, the high computational cost limits their engineering applications. Machine learning techniques, widely used to understand and predict data trends, can provide advantageous computational efficiency over conventional numerical techniques. In the current work, an artificial neural network (ANN) model is proposed and trained based on the datasets generated by...
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#1Maziar Toursangsaraki (SJTU: Shanghai Jiao Tong University)H-Index: 1
#2Huamiao WangH-Index: 24
Last. D. KarthikH-Index: 8
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2 CitationsSource
#1Ding Tang (SJTU: Shanghai Jiao Tong University)H-Index: 12
#2Leilei Zhao (SJTU: Shanghai Jiao Tong University)
Last. Peidong Wu (McMaster University)H-Index: 51
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Abstract The hardness measured by nano-indentation on metallic material with rough surface shows a significant deviation from the Nix-Gao relation, which established an important relation between the hardness and indentation depth at small scale (Nix and Gao, 1998). Such effect has been investigated by nano-indentation experiments, and accounted for in a few proposed nano-indentation models in terms of surface roughness. However, the predicted roughness effects based on these models are quite di...
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#1Xiaochuan Sun (SJTU: Shanghai Jiao Tong University)H-Index: 1
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#1Xiaochuan Sun (SJTU: Shanghai Jiao Tong University)H-Index: 1
The single-crystal yielding and hardening behavior of polycrystals is important for understanding their mechanical behavior. Many parameters (> 10) are usually required to achieve this for magnesium alloys based on physics-based models. However, the efficient and precise determination of these parameters is a very challenging task. An efficient and practical method is proposed herein to determine the parameter set by dividing the parameters into those for yielding and hardening, thereby signific...
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