Mechanical and Corrosion Behavior of Al-Zn-Cr Family Alloys

Nassef, Ahmed; El-Garaihy, Waleed H.; El-Hadek, Medhat A.

doi:10.3390/met7050171

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…Only the diffusion mechanisms contributed to sintering of particles in the case of the absence of an external pressure [35]. The oxide layer on the powder particles could affect the diffusion bonding of particles during sintering, and this can be seen in the case of CP-S Zn150 powder material compacted under 100 MPa (Figure 3c).…”

Section: Discussionmentioning

confidence: 99%

Preparation and Characterization of Zinc Materials Prepared by Powder Metallurgy

Zapletal

Krystýnová

Březina

et al. 2017

Metals

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Abstract:The use of zinc-based materials as biodegradable materials for medical purposes is offered as a possible alternative to corrosion-less resistant magnesium-based materials. Zinc powders with two different particle sizes (7.5 µm and 150 µm) were processed by the methods of powder metallurgy: cold pressing, cold pressing followed by sintering and hot pressing. The microstructure of prepared materials was evaluated in terms of light optical microscopy, and the mechanical properties were analyzed with Vickers microhardness testing and three-point bend testing. Fractographic analysis of broken samples was performed with scanning electron microscopy. Particle size was shown to have a significant effect on compacts mechanical properties. The deformability of 7.5 µm particle size powder was improved by increased temperature during the processing, while in the case of larger powder, no significant influence of temperature was observed. Bending properties of prepared materials were positively influenced by elevated temperature during processing and correspond to the increasing compacting pressures. Better properties were achieved for pure zinc prepared from 150 µm particle size powder compared to materials prepared from 7.5 µm particle size powder.

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Section: Discussionmentioning

confidence: 99%

Preparation and Characterization of Zinc Materials Prepared by Powder Metallurgy

Zapletal

Krystýnová

Březina

et al. 2017

Metals

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“…High electrochemical potential differences between the aluminium matrix and precipitates play critical roles [9][10][11]. Generally, these precipitates include inhomogeneities, intermetallics, and grain boundaries, which may introduce susceptibility to intergranular corrosion (IGC) [12,13] and become the main initial locations of electrochemical corrosion [8,9].…”

Section: Introductionmentioning

confidence: 99%

Study of the Precipitation Hardening Behaviour and Intergranular Corrosion of Al-Mg-Si Alloys with Differing Si Contents

Zheng

Luo

Bai

et al. 2017

Metals

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The effects of Si addition on the precipitation hardening behaviour and evolution of intergranular corrosion (IGC) of Al-Mg-Si alloys were investigated using hardness tests, scanning electron microscopy (SEM), potentiodynamic polarization measurements, and high-resolution transmission electron microscopy (HRTEM). With an increase of the Si content, the peak hardness of the Al-Mg-Si alloys considerably increased by enhancing the density of the β" (Mg 5 Si 6) phase inside the grains. The microstructures affecting the IGC performance consisted of MgSi particles, Si particles, Al-Fe-Mn-Si intermetallics, and the precipitate-free zone (PFZ). The IGC susceptibility of the Al-Mg-Si alloys was mainly attributed to the high electrochemical potential difference between the MgSi particles and solute-depleted zones. Excess Si improved the IGC susceptibility of the alloys, mainly due to an increase of the grain boundary MgSi precipitates. Furthermore, the evolution of the IGC process was discussed in detail.

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“…Consequently, metal matrix composites (MMCs) have recently replaced conventional engineering materials due to their promising properties [3,4]. Aluminum matrix composites (AMCs) are MMCs that have superior advantages, such as a high strength-to-weight ratio, excellent weldability, good corrosion, fatigue resistance, and wear resistance [5][6][7][8][9][10][11][12]. AMCs, especially Al-Cu matrix composites (2xxx series), fabricated by powder metallurgy (PM), are widely employed in the automotive and aerospace industries because of their low density and the material savings achieved by using near-net-shape processing characteristics [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Powder Metallurgy Parameters to Enhance the Mechanical Properties of Al-4Cu/xAl2O3 Composites Using Machine Learning and Response Surface Approaches

et al. 2023

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This study comprehensively investigates the impact of various parameters on aluminum matrix composites (AMCs) fabricated using the powder metallurgy (PM) technique. An Al-Cu matrix composite (2xxx series) was employed in the current study, and Al2O3 was used as a reinforcement. The performance evaluation of the Al-4Cu/Al2O3 composite involved analyzing the influence of the Al2O3 weight percent (wt. %), the height-to-diameter ratio (H/D) of the compacted samples, and the compaction pressure. Different concentrations of the Al2O3 reinforcement, namely 0%, 2.5%, 5.0%, 7.5%, and 10% by weight, were utilized, while the compaction process was conducted for one hour under varying pressures of 500, 600, 700, 800, and 900 MPa. The compacted Al-4Cu/Al2O3 composites were in the form of cylindrical discs with a fixed diameter of 20 mm and varying H/D ratios of 0.75, 1.0, 1.25, 1.5, and 2.0. Moreover, the machine learning (ML), design of experiment (DOE), response surface methodology (RSM), genetic algorithm (GA), and hybrid DOE-GA methodologies were utilized to thoroughly investigate the physical properties, such as the relative density (RD), as well as the mechanical properties, including the hardness distribution, fracture strain, yield strength, and compression strength. Subsequently, different statistical analysis approaches, including analysis of variance (ANOVA), 3D response surface plots, and ML approaches, were employed to predict the output responses and optimize the input variables. The optimal combination of variables that demonstrated significant improvements in the RD, fracture strain, hardness distribution, yield strength, and compression strength of the Al-4Cu/Al2O3 composite was determined using the RSM, GA, and hybrid DOE-GA approaches. Furthermore, the ML and RSM models were validated, and their accuracy was evaluated and compared, revealing close agreement with the experimental results.

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Mechanical and Corrosion Behavior of Al-Zn-Cr Family Alloys

Cited by 6 publications

References 25 publications

Preparation and Characterization of Zinc Materials Prepared by Powder Metallurgy

Preparation and Characterization of Zinc Materials Prepared by Powder Metallurgy

Study of the Precipitation Hardening Behaviour and Intergranular Corrosion of Al-Mg-Si Alloys with Differing Si Contents

Optimizing the Powder Metallurgy Parameters to Enhance the Mechanical Properties of Al-4Cu/xAl2O3 Composites Using Machine Learning and Response Surface Approaches

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