Characterization of AA7075 Alloy Foam Using Calcium and Magnesium Carbonate as Foaming Agent

Rathore, Ram Krishna; Singh, Nitish Kumar; Xavier, J. Francis

doi:10.1007/978-981-16-3937-1_30

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…The raw material utilized in this investigation was aluminium AA7075 alloy (the composition of AA70705 is illustrated in Table 1), with zinc as the primary alloying element and magnesium as the secondary alloying element. In comparison to aluminium and other series, AA7075 has superior mechanical strength and corrosion resistance, as well as excellent fatigue strength, creep resistance, and formability, as mentioned in our prior research 15,16 .…”

Section: Selection Of Workpiecementioning

confidence: 75%

Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique

Singh,

Balaguru,

Rathore

et al. 2023

jmmf

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Aluminium foams have been manufactured and discovered to have a variety of uses in automotive and structural applications. However, due to their varied characteristics, it is difficult to choose an appropriate material. In this context, the selection of material for good properties is a challenging task. This study attempted to identify materials from various combinations employing the Multiple Attribute Decision Making (MADM) technique based on their mechanical and physical properties. Complex Proportional Assessment (COPRAS) is a Multi-Criteria Decision Making (MCDM) technique employed for evaluating the ranking order of the aluminium composite foam’s formulations based on performance measures. The composite foam with 2.5 wt.% of Calcium carbonate as foaming agent demonstrated the best combination of mechanical properties.

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Section: Selection Of Workpiecementioning

confidence: 75%

Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique

Singh,

Balaguru,

Rathore

et al. 2023

jmmf

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“…It is determined by averaging the GRCs for every performance property. The overall calculation of multiple performance characteristics depends on grey relational grades 32 .…”

Section: Grey Relational Gradementioning

confidence: 99%

“…The area with the least amount of induced stress is shown as the blue zone, in contrast. The reduction in residual stresses shown in PMND-EDM can be attributed to improved flushing conditions and the even distribution of heat or energy plasma all over the machined surface, which relieves some of the residual tensions on the surface 25,32 . The mean of the GRC for the pulse frequency at stages 1, 2, and 3 was evaluated by the averaged GRC for experiments 1 to 9, 10 to 18, and 19 to 27 and given in Table 13, which shows the responses for the GRA grade.…”

Section: Factor-1mentioning

confidence: 99%

Analysis and Optimization of Process Parameters of Powder Mixed Near Dry- EDM by using Grey Relational Optimization

Sundriyal

2023

jmmf

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The hybrid Electric Discharge Machine (PM-EDM) is the latest advancement in the removal of hard materials from workpieces while enhancing their performance and characteristics. This research project is focused on optimizing key process parameters, including material removal rate, tool wear, residual stresses, and surface finish. The approach utilized in this study involves employing the standard deviation-based objective weighting method in conjunction with GRA (Grey Relational Analysis) optimization to improve the hybrid PM-EDM process when applied to EN-31 material. Experimental runs were conducted to assess the impact of various input factors such as pulse on time, duty cycle, discharge current, and concentration of metallic powder. The GRA (Grey Relational Analysis)-based Taguchi method was employed for this purpose, and the experimental design followed an L-27 orthogonal array within the framework, facilitated by the use of minitab-20 software. A total of 27 experiments were conducted, encompassing diverse combinations of process parameters. Subsequently, an ANOVA (Analysis of Variance) was performed to scrutinize the impact of various inputs of discharge current, pulse on time, duty cycle, and powder concentration on MRR (Material Removal), TWR (Tool Wear), Ra (surface finish), and Rs (Residual stress).

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“…Synthetic ceramics are used as primary reinforcements as they possess superior strength compared to other types of reinforcements. However, secondary reinforcement is frequently used to improve other properties, such as thermal conductivity, friction coefficient, and strength-to-weight ratio [25][26] [27]. In this study, silicon carbide (SiC) (chemically stable with aluminium) is used as primary reinforcement and titanium-di-boride (TiB2) as secondary reinforcement.…”

Section: Introductionmentioning

confidence: 99%

Development and Characterization of Aluminium AA7075 Hybrid Composite Foams (AHCFs) Using SiC and TiB2 Reinforcement

Singh

Balaguru

2023

Inter Metalcast

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In this study AA7075/SiC/TiB2 closed-cell Aluminium hybrid composite foam (AHCFs) with different densities was fabricated by top-loaded bottom pouring stir casting technique. This technique uses oyster-shell powders (CaCO3 2.5 wt. % of composite with 60 μm size) as blowing agents and no viscosity-enhancing ingredient. The silicon carbide (SiC 0, 3, 6, 9, and 12 wt. % with 25 μm) and titanium di-boride (TiB2 3 wt. % with particle size 15 μm) are used as primary and secondary reinforcement agents. It has been noted that the addition of TiB2 and SiC enhanced the mechanical properties (modulus of elasticity, yield strength, and plateau strength) of AHCFs. The energy absorption capacity of AHCFs increases with the addition of SiC up to 3 wt. % and a further increase in SiC content leads to the reduction. It is observed that density and cell wall thickness increases with increasing the wt. % of SiC and Cell size and porosity decrease with an increase in wt. %. of reinforcement. It is also noted that Stirring temperature also strongly influenced the microstructural properties of AHCFs, and 750 0 C of stirring temperature is sufficient for aluminium foaming.

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Characterization of AA7075 Alloy Foam Using Calcium and Magnesium Carbonate as Foaming Agent

Cited by 11 publications

References 9 publications

Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique

Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique

Analysis and Optimization of Process Parameters of Powder Mixed Near Dry- EDM by using Grey Relational Optimization

Development and Characterization of Aluminium AA7075 Hybrid Composite Foams (AHCFs) Using SiC and TiB2 Reinforcement

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