Microstructure and tribological behavior of in situ ZrB<sub>2</sub>/A356 composites prepared under magnetic field

Jiao, Lei; Li, Fan; Zhao, Yutao; Wang, Bao Wang; Huang, Xin Peng; Li, Hui; Yang, Yongqiang; Li, Dong Dong

doi:10.1088/2051-672x/abe720

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…This decrease in wear may be owing to the existence of hard ZrB 2 particles, which restrict the penetration of the counter body. Also, the existence of hard particles reduces the contact between the soft matrix material and counter steel disc, which results in a decrease in wear [24]. Figure 10 presents the effect of increasing ZrB 2 content on COF as obtained in the experiment.…”

Section: Effect Of Input Parameters On Responses (Wear and Cof)mentioning

confidence: 98%

Tribological behaviour of ZA/ZrB₂ in situ composites using response surface methodology and artificial neural network

Kumar¹,

Gautam²,

Singh³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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Recent advancement in metal matrix composites shows the reduction in resource and energy consumption through improvement in tribological properties. However, statistical modelling helps to achieve the material efficiency through optimizing experimental parameters. This study focuses on developing a statistical modelling to predict the tribological behaviour of ZA/ZrB2 insitu composites. Analysis of variance (ANOVA) was conducted using Response surface methodology (RSM) by Design expert 13 software which was suggested the use of quadratic model and the regression equation was developed. Varying load, sliding distance, and volume % of ZrB2 as input parameters and wear and coefficient of friction (COF) as response parameters were utilized in RSM. Results indicate that the volume % of ZrB2 is the main contributing parameter for wear while for COF, load is the main contributing factor. Artificial neural network (ANN) developed using PYTHON was also employed to validate the optimized parameters for wear and COF suggested by RSM. Experimental results and statistical analysis results obtained from RSM and ANN show the close tolerance and thus suggest a significant model that envisages the tribological characteristics of alloy and composites. Regression equation could be successfully utilized to predict the wear and COF at any given set of input variables based on applications.

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Section: Effect Of Input Parameters On Responses (Wear and Cof)mentioning

confidence: 98%

Tribological behaviour of ZA/ZrB₂ in situ composites using response surface methodology and artificial neural network

Kumar¹,

Gautam²,

Singh³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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“…Friction Stir Welding (FSW) is a solid-state joining technology. Compared with the traditional melting welding technology, friction stir welding has quieter working environment, lower pollution and lower energy consumption [9][10][11][12][13][14][15]. due to the low welding heat input, friction stir welding can reduce the welding residual stress and post-welding deformation, improve the compactness of the weld microstructure and avoid the loss of stirring head [16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Study on Microstructure and Mechanical Properties of Friction Stir Welding Joints of In-Situ Al3Zr/AA6082 Particle-Reinforced Aluminum Matrix Composites

Li,

Sun,

Wang

et al. 2023

Archives of Metallurgy and Materials

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Study on MicroStructure and Mechanical ProPertieS of friction Stir Welding JointSof in-Situ al 3 Zr/aa6082 Particle-reinforced aluMinuM Matrix coMPoSiteS in this paper, the al-k 2 zrF 6 reaction system was used to prepare in-situ al 3 zr/aa6082 particle-reinforced aluminum matrix composites by electromagnetic stirring melt reaction method, and the friction stir welding technology was used to weld the plate. the microstructure and mechanical properties of the welded joints were studied when the rotating speed was 14000 rpm and the welding speed was 30, 50 and 70 mm/min respectively. the results show that the weld forming quality and tensile properties of the FSW joints with welding parameters of 14000 rpm and 50 mm/min are the best, the tensile strength is 142(±0.5) mpa and the elongation is 8.2%. SEM analysis shows that the particle size of the reinforcing phase in the base metal is refined to about 5-10 μm, while that in the NZ is about 1-5 μm. The grain size in the HAZ is about 20-30 μm and in the NZ is about 5-10 μm. EBSD analysis shows that the proportion of low-angle grain boundary in the nz is 59.7% and of recrystallized grain structure is 23.65%, while the proportion of small-angle grain boundary in the Haz is 24.35% and of recrystallized grain structure is 37.18%. it provides theoretical and experimental basis for the forming and application of friction stir welding of the composite.

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Surface Friction and Wear Behavior of In Situ AlB2 Particle-Reinforced A356 Composites

Jiao

Zhao

et al. 2022

J. of Materi Eng and Perform

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Microstructure and tribological behavior of in situ ZrB₂/A356 composites prepared under magnetic field

Cited by 7 publications

References 32 publications

Tribological behaviour of ZA/ZrB₂ in situ composites using response surface methodology and artificial neural network

Tribological behaviour of ZA/ZrB₂ in situ composites using response surface methodology and artificial neural network

Study on Microstructure and Mechanical Properties of Friction Stir Welding Joints of In-Situ Al3Zr/AA6082 Particle-Reinforced Aluminum Matrix Composites

Surface Friction and Wear Behavior of In Situ AlB2 Particle-Reinforced A356 Composites

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Microstructure and tribological behavior of in situ ZrB2/A356 composites prepared under magnetic field

Cited by 7 publications

References 32 publications

Tribological behaviour of ZA/ZrB2 in situ composites using response surface methodology and artificial neural network

Tribological behaviour of ZA/ZrB2 in situ composites using response surface methodology and artificial neural network

Study on Microstructure and Mechanical Properties of Friction Stir Welding Joints of In-Situ Al3Zr/AA6082 Particle-Reinforced Aluminum Matrix Composites

Surface Friction and Wear Behavior of In Situ AlB2 Particle-Reinforced A356 Composites

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Microstructure and tribological behavior of in situ ZrB₂/A356 composites prepared under magnetic field

Tribological behaviour of ZA/ZrB₂ in situ composites using response surface methodology and artificial neural network

Tribological behaviour of ZA/ZrB₂ in situ composites using response surface methodology and artificial neural network