Cooling curve analysis in binary Al-Cu alloys: Part I- Effect of cooling rate and copper content on the eutectic formation

Dehnavi, Mehdi; Kuhestani, F.; Haddad-Sabzevar, M.

doi:10.30544/80

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…By comparing all simulation trial results, it is seen that a four-blade stirrer with a diameter ratio of 1.5, 10 per cent SiC reinforcement and 100 rad/s stirrer speed shows faster solidification time and less clustering tendency [Figure 8(a)]. The variation in the characteristics of the cooling curve always has a significant effect on the microstructure and mechanical behavior of the material (Behera et al ., 2011; Dehnavi et al ., 2015) From Tables II-V, it is clear that eutectic solidification time depends on process parameters of stirrer speed, volume fraction, diameter ratio and number of blades. Among these process parameters, stirrer speed, volume fraction and diameter ratio are more predominant than the number of blades on stirrer.…”

Section: Resultsmentioning

confidence: 99%

Simulation of mushy state solidification in stir casting

Sijo

Jayadevan

Janardhanan

2018

WJE

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Purpose Stir casting is a promising technique used for the manufacture of Al-SiC metal matrix composites. The clustering of reinforcement particles is a serious concern in this production method. In this work, mushy-state solidification characteristics in stir casting are numerically simulated using computational fluid dynamics techniques to study the clustering of reinforcement particles. Design/methodology/approach Effects of process parameters on the distribution of particles are examined by varying stirrer speed, volume fraction of reinforcement, number of blades on stirrer and diameter ratio (ratio of crucible diameter to stirrer diameter). Further, investigation of characteristics of cooling curves during solidification process is carried out. Volume of fluid method in conjunction with a solidification model is used to simulate the multi-phase fluid flow during the mushy-state solidification. Solidification patterns thus obtained clearly indicate a strong influence of process parameters on the distribution of reinforcement particles and solidification time. Findings From the simulation study, it is observed that increase in stirrer speed from 50 to 150 rad/s promotes faster solidification rate. But, beyond 100 rad/s, stirrer speed limit, clustering of reinforcement particles is observed. The clustering of reinforcement particles is seen when volume fraction of reinforcement is increased beyond 10 per cent. When number of blades on stirrer are increased from three to five, an increase in solidification rate is observed, and an uneven distribution of reinforcement particles are observed for five-blade geometry. It is also seen from the simulation study that a four-blade stirrer gives a better distribution of reinforcement in the molten metal. Decrease in diameter ratio from 2.5 to 1.5 promotes faster solidification rate. Originality/value There is 90 per cent closeness in results for simulation study and the published experimental results.

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Section: Resultsmentioning

confidence: 99%

Simulation of mushy state solidification in stir casting

Sijo

Jayadevan

Janardhanan

2018

WJE

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“…Particularly Al-Si-Cu alloys of 319 and 333 series, where the compositions are mainly within the ranges 5.5-10 wt-%Si and 3.0-4.0 wt-% Cu, are extremely important, considering their applicability in the production of cylinders, pistons and motor CONTACT Otávio L. Rocha otavio.rocha@ifpa.edu.br Federal Institute of Education, Science and Technology of Pará -IFPA, 66093-020 Belém-Pará, Brazil; Faculty of Mechanical Engineering, Federal University of Pará -UFPA, 66093-020 Belém-Pará, Brazil blocks, etc., since these alloys combine its excellent fusibility with high strength/weight ratio, low thermal expansion coefficient and good wear resistance [1][2][3][4][5][6][7][8][9]15]. The increasing demand for these properties has pointed to the need for a rigorous microstructural control during the processing of these alloys, which includes: detailed chemical composition specification, excellent programming of the solidification parameters and subsequent heat treatment [1][2][3][4][5][6][7][8][9][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] .…”

Section: Introductionmentioning

confidence: 99%

“…Particularly Al–Si–Cu alloys of 319 and 333 series, where the compositions are mainly within the ranges 5.5–10 wt-%Si and 3.0–4.0 wt-% Cu, are extremely important, considering their applicability in the production of cylinders, pistons and motor blocks, etc., since these alloys combine its excellent fusibility with high strength/weight ratio, low thermal expansion coefficient and good wear resistance [1–9,15]. The increasing demand for these properties has pointed to the need for a rigorous microstructural control during the processing of these alloys, which includes: detailed chemical composition specification, excellent programming of the solidification parameters and subsequent heat treatment [1–9,15–31].…”

Section: Introductionmentioning

confidence: 99%

Interconnection between the solidification and precipitation hardening processes of an AlSiCu alloy

Magno

Souza

Costa

et al. 2019

Materials Science and Technology

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Horizontal directional solidification and precipitation hardening experiments were performed with the Al5.5Si3Cu alloy. Solidification thermal and microstructural parameters such as growth and cooling rates ( VL and TR, respectively) and the secondary dendrite arm spacing ( λ2) were determined experimentally. As-solidified samples were selected and submitted to the T6-heat treatment (T6-HT). The T6-HT was carried out considering two solution times: 8 and 5 h at 490 ± 2°C, followed by quenching in warm water (60 ± 2°C), aging for 5 h at 155 ± 2°C and air-cooling. Higher HV values were observed for the solution time of 5 h. As highlights of this work, the influence of the processing parameters ( VL, TR and λ2) on the distribution, morphology and size of the eutectic Si particles has been investigated.

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“…The solidification of metal alloys can be observed through Computer-Aided Cooling Curve Analysis (CA-CCA). It can determine thermo-physical properties of metal alloys, latent heat from solidification [12,13] .…”

Section: Introductionmentioning

confidence: 99%

Cooling Rate, Hardness and Microstructure of Aluminum Cast Alloys

Akhyar

Farhan

2018

Mater Sci Mater Rev

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This experiment investigated the cooling curve behavior, hardness and microstructure of two aluminum alloys produced by casting process. There are Al-1.37Zn-1.19Si and Al-1.66Si-1.35Zn derived from melting and alloying a pure aluminum with ADC12 (Al-Si) ingot. Cooling curve recorded from both those two alloys with pouring temperature at 710 oC and the mold temperature kept constant at 220 oC. The result shows, a freezing range of Al-1.37Zn-1.19Si alloy is 643–348 oC and Al-1.66Si-1.35Zn alloy is 621–401 oC. Then cooling rate obtained for Al-1.37Zn-1.19Si is 55.56 oC/S, and Al-1.66Si-1.35Zn is 30.09 oC/S. TThe higher hardness is 40.42 BHN at Al 1.66 Si-1.35Zn, while the lower value is 34.62 BHN on Al-1,37Zn-1,19Si alloy. The hardness value found higher when cooling rate is shorted. The number of silicon present on microstructure is highest in Al-1.37Zn-1.19Si alloy but the hardness value decreases. This is caused by the distribution of the silicon content in the alloy is irregular. It was found that the solidification rate had an effect on hardness, where the freezing rate obtained a high hardness value.

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Cooling curve analysis in binary Al-Cu alloys: Part I- Effect of cooling rate and copper content on the eutectic formation

Cited by 7 publications

References 9 publications

Simulation of mushy state solidification in stir casting

Simulation of mushy state solidification in stir casting

Interconnection between the solidification and precipitation hardening processes of an AlSiCu alloy

Cooling Rate, Hardness and Microstructure of Aluminum Cast Alloys

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