Effect of Wettability and Uniform Distribution of Reinforcement Particle on Mechanical Property (Tensile) in Aluminum Metal Matrix Composite—A Review

James, Johny; Annamalai, A. Raja; Muthuchamy, A.; Jen, Chun-Ping

doi:10.3390/nano11092230

Cited by 22 publications

(13 citation statements)

References 77 publications

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“…e categories covered shopping price comparison, audio and video entertainment, tools, etc., and the number of categories was about evenly distributed [21].…”

Section: Results Analysismentioning

confidence: 99%

Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

2022

Security and Communication Networks

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In order to reduce false positives of Trojan horse detection algorithms in smartphones, a voting algorithm based on multiple machine learning algorithms in wireless sensor networks was proposed. Through setting up the experiment, the preliminary preparations of the experiment, including sample set selection, feature set extraction method, and algorithm effect evaluation criteria, were described first. The K-nearest neighbors algorithm, random forests algorithm, support vector machine, and voting algorithm were compared. The experimental results showed that SVM and KNN algorithms took the shortest time, about 0.3 seconds. Judging by the test results, the voting algorithm still performed the best among the four algorithms as the voting algorithm was an extension of the three machine learning algorithms. In these randomly selected samples, malicious programs and nonmalicious programs were successfully distinguished by the voting algorithm. As the amount of test data increased, the test results would be closer to the actual situation. Namely, the voting algorithm would also have a small probability of false positives, which could meet the design requirements of the system. It was concluded that the method could effectively reduce false positives of the Trojan horse detection algorithm in smartphones.

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“…e categories covered shopping price comparison, audio and video entertainment, tools, etc., and the number of categories was about evenly distributed [21].…”

Section: Results Analysismentioning

confidence: 99%

Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

2022

Security and Communication Networks

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“…Two powders, KBF 4 and K 2 ZrF 6 , were used to make zirconium oxide. ere were 0, 4, 8, 12, and 16% reinforcing weight percentages in the process [26]. Reinforcing particles silver and zirconium oxide were mixed with the AA7075 matrix at a rate of <15% to ensure strong attachment and equitable spreading in the matrix [27].…”

Section: Methodsmentioning

confidence: 99%

Tribological Behavior of AA7075 Reinforced with Ag and ZrO2 Composites

Mahesha

Suprabha

Jayan³

et al. 2022

Advances in Materials Science and Engineering

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In this study, an AA7075 composite material with a varying weight percentage of silver and zirconium oxide reinforcement is examined in terms of its properties. Reinforcement quantities ranging from 0, 4, 8, 12, and 16 wt % were combined with the matrix using the in-situ technique of stir casting in the field. Tensile, mechanical hardness, and compressive strength were assessed in accordance with the standard. The X-ray diffraction and EDS were utilized to analyze AA7075 composites for the distribution and dispersion of particles. Different input parameters such as load (N), composites (wt %), and velocity (m/s) were used to evaluate wear resistance when using the pin-on-disc method. The wear rate (mm/m) was estimated for every weight percent of reinforced mass loss (g). Optimization methods such as Taguchi and analysis of variance were used to determine the AA7075’s optimal processing parameters and composites that were the most significant. In order to identify the best genetic algorithm results, theoretical and experimental results were evaluated.

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“…Smaller sized particle has more pinning effect compared to those of large sized particles. 14,30,31 The elemental mapping depicts the presence of "Ti" and "O" elements along the grain boundaries. XRD analysis was performed, and some tiny TiO 2 nano-particulate peaks were revealed.…”

Section: Microstructure Analysis Of Compositementioning

confidence: 99%

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Bharat

Bose

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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The current study focuses on the influence of varying wt% of nano-TiO2 particles (1%, 2% and 3%) on the microstructure, mechanical and tribological properties of AA7178 alloy matrix composite produced by stir casting method. The grain boundaries of the prepared composites were revealed using an optical microscope. The uniform distribution of nano-TiO2 particles in the alloy matrix was observed by scanning electron microscope. X-ray diffraction verified the existence of reinforced nano-TiO2 particulates in the samples, and microstructural images revealed a consistent distribution of reinforcements in the matrix. The formation of more refined grains from coarser grains was observed using electron backscatter diffraction analysis. The texture analysis revealed the presence of dominant A and A2* components with a maximum intensity of 5.137. Fractography disclosed that the reinforcements did not peel away from the alloy matrix, and the form of failure was both brittle and ductile. Abrasive wear was observed for the worn-out surface of the nanocomposites. It was observed that by increasing wt% of TiO2 nanoparticles, the mechanical and tribological properties of the alloy matrix increased compared to the base alloy. The optimum mechanical and tribological properties were obtained at 2 wt% of nano-TiO2 particulates.

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Effect of Wettability and Uniform Distribution of Reinforcement Particle on Mechanical Property (Tensile) in Aluminum Metal Matrix Composite—A Review

Cited by 22 publications

References 77 publications

Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

Tribological Behavior of AA7075 Reinforced with Ag and ZrO2 Composites

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

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Effect of Wettability and Uniform Distribution of Reinforcement Particle on Mechanical Property (Tensile) in Aluminum Metal Matrix Composite—A Review

Cited by 22 publications

References 77 publications

Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

Tribological Behavior of AA7075 Reinforced with Ag and ZrO2 Composites

Influence of nano-TiO2 particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Contact Info

Product

Resources

About

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique