Investigation of SiC Nanoparticle Size and Distribution Effects on Microstructure and Mechanical Properties of Al/SiC/Cu Composite during the FSSW Process: Experimental and Simulation

Bagheri, Behrouz; Shamsipur, Ali; Abdollah-zadeh, A.; Mirsalehi, Seyyed Ehsan

doi:10.1007/s12540-022-01284-8

Cited by 57 publications

(8 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After this point, both values decreased. This can be explained by the fact that smaller reinforced particles have more interfacial area to transfer the load from the matrix material to the reinforced particles, while larger particles have less interfacial area, which leads to higher stress concentration [27,28]. Table 2 summarizes the results of physical and mechanical characterization.…”

Section: Mechanical Testingmentioning

confidence: 99%

Effect of TiC particle size on physical, mechanical and tribological properties of Cu-TiC metal matrix composites

Agarwal¹,

Gupta

Somani

2023

Eng. Res. Express

View full text Add to dashboard Cite

This research article aims to produce a metal matrix composite (MMC) material consisting of Cu-20%TiC using the powder metallurgy route, followed by sintering. The study provides insight into the impact of different TiC particle sizes on the physical, mechanical, and wear properties of the MMC. The surface morphology of the samples was analyzed using scanning electron microscopy, while Vickers hardness and tensile tests were employed to determine mechanical properties. Additionally, sliding wear tests and frictional tests were performed to assess tribological properties. The results show that varying the particle size of the reinforcement material significantly affects physical, mechanical, and tribological properties. Larger TiC particle sizes yielded better mechanical properties due to reduced interfacial area for load transformation and higher stress concentration endurance, but better wear and anti-frictional properties were observed for better-dispersed larger particles. SEM micrographs indicated homogeneous distribution of metal matrix particles. The worn surface was smoother for larger particle sizes, and abrasive wear was the dominant wear mechanism. Results were similar for TiC particles with average sizes of 45 µm and 60 µm. The best tribological properties, with a relative density of 96.92%, micro-hardness of 168.09 Hv, and tensile strength of 369.24 MPa, were observed for particle sizes of 45 µm.

show abstract

Section: Mechanical Testingmentioning

confidence: 99%

Effect of TiC particle size on physical, mechanical and tribological properties of Cu-TiC metal matrix composites

Agarwal¹,

Gupta

Somani

2023

Eng. Res. Express

View full text Add to dashboard Cite

show abstract

“…Table 3 shows the Johnson-Cook parameters of the weldment utilized in this study. 36 Other initiation criteria, such as the ductile criteria, can be applied to specify the Johnson-Cook damage model; while each initiation criterion is investigated separately. Table 4 lists the value of JC damage factors d1-d5 regarding applied weldment materials.…”

Section: Control Equationsmentioning

confidence: 99%

Advances in simulation and experimental study on intermetallic formation and thermomechanical evolution of Al–Cu composite with Zn interlayer: Effect of spot pass and shoulder diameter during the pinless friction stir spot welding process

Abdollah-zadeh

Bagheri

Vaneghi

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part L:

Self Cite

View full text Add to dashboard Cite

In this study, the pinless friction stir spot welding of aluminum–copper composite with Zn interlayer was analyzed under experimental measurement and finite element method. The role of shoulder diameter, 16, 18, and 20 mm, and the number of spot pass, one to three pass, on microstructure, mechanical properties, and thermal history of weld samples were investigated. Based on the obtained results, there is a good agreement between numerical data and experimental analyses. It was shown that the heat source, due to plastic deformation and friction, increased as the shoulder diameter was increased, whereas the stress distribution in the weld samples was reduced. In addition, the thickness of the Zn interlayer at the joint interface changes when shoulder size increases from 16 to 20 mm, due to high temperature and intermixing between materials. From the microstructure analysis, the grain size in the joint zone gradually decreases as the spot pass increases from 1 to 3. It was concluded that the shoulder diameter of 16 mm with three spot passes showed the best result of 7.45 kN. Depending on X-ray diffraction analyses of the fracture surfaces, three primarily intermetallic phases including the Al2Cu, CuZn5, and CuZn2 were determined in the weld interfaces. Based on finite element method analysis, the axial compressive stresses showed the lowest profile as the shoulder diameter of the tool is 16 mm. Finally, the ductile fracture was detected as the main fracture mechanism for the joint sample with optimal joining conditions.

show abstract

“…to its ability to address the poor welding performance associated with traditional spot welding techniques on aluminum alloys. Behrouz Bagheri, an expert in this field, has conducted extensive research on the impact of SiC nanoparticles on dissimilar aluminum-copper welding using FSSW [2][3][4]. RSW finds widespread use in automobile production owing to its advantages such as low cost, high efficiency, and automation.…”

Section: Introductionmentioning

confidence: 99%

Resistance spot welding defect detection based on vectorized dynamic resistance signal and LightGBM classifier

Lv,

Gao,

Xiao

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

The problem of real-time detection of welding defects is a difficult problem in resistance spot welding. It is found that the dynamic resistance has a strong connection with the growth of the nugget. The dynamic resistance signals with welding defects are significantly different from those of normal welding, and the dynamic resistance signals between different welding defects show different characteristics, and the dynamic resistance signals of the same kind of welding defects may also differ from each other. The most common practice today to realize the detection of resistive defects is by extracting the time-domain features of the signal waveforms. However, this approach is highly subjective, so this article proposes a double-size mesh division method to process the dynamic resistance signal. Experiments prove that the method can retain the characteristics of the signal curve well, and it is also improves the training speed and accuracy compared with the mesh division method. Finally, the processed signals are classified using the LightGBM classifier with an accuracy of 98.55%.

show abstract

Investigation of SiC Nanoparticle Size and Distribution Effects on Microstructure and Mechanical Properties of Al/SiC/Cu Composite during the FSSW Process: Experimental and Simulation

Cited by 57 publications

References 65 publications

Effect of TiC particle size on physical, mechanical and tribological properties of Cu-TiC metal matrix composites

Effect of TiC particle size on physical, mechanical and tribological properties of Cu-TiC metal matrix composites

Advances in simulation and experimental study on intermetallic formation and thermomechanical evolution of Al–Cu composite with Zn interlayer: Effect of spot pass and shoulder diameter during the pinless friction stir spot welding process

Resistance spot welding defect detection based on vectorized dynamic resistance signal and LightGBM classifier

Contact Info

Product

Resources

About