Sustainable Analysis in the Product Development of Al-Metal Matrix Composites Automotive Component

Fatchurrohman, Nanang; Iskandar, Ismed; Sulaiman, Suraya; Johan, Kartina

doi:10.4028/www.scientific.net/amm.695.32

Cited by 21 publications

(7 citation statements)

References 9 publications

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“…Al-Zn-Mg-Cu (7xxx) alloys are extensively used in the aerospace and transportation industries owing to their high strength and excellent formability. [1][2][3] The excellent mechanical properties of the Al-Zn-Cu-Mg alloys originate from metastable precipitates of various precipitates (e.g. η-MgZn 2 , T-Mg 32 (Al,Zn) 49 , θ-Al 2 Cu, etc.)…”

Section: Introductionmentioning

confidence: 99%

Effect of mechanical milling on microstructure evolution and mechanical properties of Al–Zn–Mg–Cu–Si alloy fabricated via spark plasma sintering

Lee,

Shin,

Jeon

et al. 2024

Powder Metallurgy

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We investigated the effect of high-energy ball milling (HEBM) on the microstructure and mechanical properties of powders and spark plasma sintered samples of an Al–Zn–Mg–Cu–Si alloy. HEBM produced a nanocrystalline powder with an average grain size of 0.16 μm while increasing the amount of solid solution and the formation of fine amorphous aluminium oxide. The sintered alloy without HEBM consisted of η-Mg(Zn,Cu,Al)2, T-Mg32(Al,Zn)49, β-Mg2Si, and Q-Al5Cu2Mg8Si6 phases. The grain size of the sintered alloy decreased from 2.66 to 0.40 μm due to the application of HEBM. The amorphous aluminium oxide phase in the milled powder was transformed into MgO particles during sintering. The formation of MgO particles caused the depletion of Mg solid solutions, which resulted in the formation of Mg-free phases during sintering. High-energy ball milling (HEBM) improved the microhardness of the sintered alloy from 94 to 134 HV owing to grain refinement and the formation of fine secondary phases and MgO particles.

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Section: Introductionmentioning

confidence: 99%

Effect of mechanical milling on microstructure evolution and mechanical properties of Al–Zn–Mg–Cu–Si alloy fabricated via spark plasma sintering

Lee,

Shin,

Jeon

et al. 2024

Powder Metallurgy

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“…Aluminium and its alloys have emerged as highly constructive materials for use as base metals in metal matrix composites due to their advantageous characteristics, including reduced weight, increased strength, exceptional thermal and electrical properties, cost efficiency, improved resistance to corrosion, and heightened damping capacity. The automotive, aerospace, and sports industries requires a variety of aluminum-composite components for use in diverse conditions (1) . Consequently, extensive research has been conducted in recent years to investigate the combination of various aluminum alloys with different reinforcing elements (2)(3)(4) .…”

Section: Introductionmentioning

confidence: 99%

GRA & DFA Approach for Optimum Material Selection of Aluminium Metal Matrix Composites: A Comparative Study

Bai,

Kumar

2023

IJST

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Objective: To draw the best combination of material parameters which gives optimized tensile strength, hardness and density properties of the aluminium metal matrix composite. Methods: In this study, three parameters (i.e., base material: Al5083, Al6082 and Al7075, reinforcement material: Fly-ash, SiC, and Al 2 O 3 , and percent of reinforcement material: 2.5%, 5% and 7.5%) were chosen, each with three levels, for the fabrication of AMMC samples in accordance with the Taguchi experimental design L 9 in order to evaluate the tensile strength, hardness and density properties. With the considered set of material combinations, the AMMC samples are fabricated by using stir casting process. Findings: The optimum material combinations are chosen to get optimized properties of AMMC samples using GRA &DFA approach. Since, grey relational analysis is one of the foremost techniques applied when the nature of information is incomplete and uncertain. The experimental results are analyzed using GRA & DFA and drawn the optimum combination of material parameter such as Al6082 (base material), SiC (reinforcement material) and 7.5% (per cent of reinforcement material) with GRA and Al6082 (base material), SiC (reinforcement material) and 5% (per cent of reinforcement material) with DFA to get optimized properties of AMMC sample. It also found that the confirmation experiment results are adequate. Novelty: The use of flyash reinforcement as secondary reinforcement has widely increased due to their low cost and easily available as waste in thermal power plants. From the experimental results, it is observed that the tensile strength, hardness and density properties of aluminium alloy samples are improved due to the addition of reinforcement materials using stir casting process.

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“…The application of aluminum in automotive parts is increasing to reduce vehicle weight. Various joining processes are applied to join aluminum parts [1,2]. Among the various joining processes, gas metal arc welding (GMAW) is an efficient welding process that is particularly suitable for welding metal plates.…”

Section: Introductionmentioning

confidence: 99%

Effects of Process Parameters on the Bead Shape in the Tandem Gas Metal Arc Welding of Aluminum 5083-O Alloy

et al. 2023

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In gas metal arc welding (GMAW), the weld bead shape is an important factor that is directly related to the weld quality of welded joints. This study investigates the effects of process parameters, including welding speed (WS) and leading and trailing wire feed rates (WFR), on the weld bead shape, including the leg length and penetration depth, in the tandem GMAW of aluminum 5083-O alloy. An asynchronous direct current–direct current pulse tandem GMAW system and a tandem GMAW torch were designed and applied to improve welding productivity and welding quality. Response surface methodology was used to analyze the effects of the process parameters on the weld bead shape and to estimate regression models for predicting the weld bead shape. As a result of observing arc behavior using a high-speed camera, it was confirmed that the leading WFR affects the penetration depth and the trailing WFR affects the leg length. The coefficient of determination (R2) of the regression models was 0.9414 for the leg length and 0.9924 for the penetration depth. It was also validated that the estimated models were effective in predicting the weld bead shape (leg length and penetration depth) representative of weld quality in the tandem GMAW process.

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Sustainable Analysis in the Product Development of Al-Metal Matrix Composites Automotive Component

Cited by 21 publications

References 9 publications

Effect of mechanical milling on microstructure evolution and mechanical properties of Al–Zn–Mg–Cu–Si alloy fabricated via spark plasma sintering

Effect of mechanical milling on microstructure evolution and mechanical properties of Al–Zn–Mg–Cu–Si alloy fabricated via spark plasma sintering

GRA & DFA Approach for Optimum Material Selection of Aluminium Metal Matrix Composites: A Comparative Study

Effects of Process Parameters on the Bead Shape in the Tandem Gas Metal Arc Welding of Aluminum 5083-O Alloy

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