Numerical study of solidification of A356 aluminum alloy flowing on an oblique plate with experimental validation

Kund, N.K.; Dutta, Pradip

doi:10.1016/j.jtice.2015.01.002

Cited by 31 publications

(31 citation statements)

References 26 publications

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“…Additionally, the nanofluid thermal control is candidly spirited as ambient thermal control is poor to deliver the drive. Numerical and experimental reviews on heat spreading over rectangular domain are existent in texts [1][2][3][4][5][6][7]. Computational and experimental work with solidification are also illustrated [8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

CFD Modeling on Influence of Impinging Spout Strength for Device Cooling with Water-Al2O3 Nanofluid

Kund¹

2019

IJITEE

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Abstract: Current assessment get through to the effect of spout strength aimed at spout impact cooling through water-Al2O3 nanofluid. CFD codes got established to compute the governing equalities of mass, force and drive for envisaging the thermal issues. CFD codes got executed through water-Al2O3 nanofluid spouts to envisage thermal issues on the chosen plate. the identified cases are really similar. Still, the extreme temperatures over the chosen plate for situations with spout strengths of 42, 52, 62 and 72 m/s are detected to remain 320, 315, 310 and 308 K, respectively. It may be witnessed that there is no such significant decrease in temperature from spout strength of 62 to 72 m/s (involving loss of extra mechanical power). Hence, the spout strength of 62 m/s embraces rather lesser mean temperature and so, it stands as the ideal one. It uses 3 mm nozzle dimension, 5 mm nozzle to plate distance and varying spout strengths of 42, 52, 62 and 72 m/s. As projected from every temperature arena, the temperature gently grows from spout impact spot on chosen plate along centrifugally peripheral course. This could stand because of thermal outflow using water-Al2O3 nanofluid. The developments of temperature disparities alongside the radial course aimed at

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Section: Introductionmentioning

confidence: 99%

CFD Modeling on Influence of Impinging Spout Strength for Device Cooling with Water-Al2O3 Nanofluid

Kund¹

2019

IJITEE

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“…and machining variables/cutting conditions (V, F, D, etc.). Numerical or experimental evaluations on materials processing remain extant in collected works [1][2][3][4][5][6][7]. Computational and experimental researches stand also described .…”

Section: Introductionmentioning

confidence: 99%

Determination of Surface Roughness Throughout CNC Turning of ASTM 316 Steel Expending Taguchi Method

Swain*,

Kund

2019

IJRTE

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Plan of experiment involving Taguchi method got developed and executed to gauge impact of various machining variables (V, F and D) on surface roughness throughout CNC turning of ASTM 316 steel using coated carbide insert. Research findings through different mathematical analyses provided the effective guideline for choosing appropriate machine settings to realize surface roughness within the recommended range during stated turning operation. Ideal machining situations got determined to minimize the surface roughness (here surface roughness factors Ra with Rz ) in turning of the same. Feed remains observed as paramount momentous variable for workpiece surface roughness. Furthermore, cutting speed remains observed as subsequent paramount momentous variable for workpiece surface roughness. Additionally, depth of cut remains observed as least paramount momentous variable for workpiece surface roughness, Rz only, however, depth of cut got absolutely insignificant impression on Ra . Present investigation clearly reveals that multicoated carbide inserts performed splendidly at optimal machining variables combination of V = 150 m/min, F = 0.10 mm/rev with D = 0.4 mm. Calculated ideal limit of sample surface unevenness, Ra and Rz are 0.16 µm ≤ Ra ≤ 0.52 µm and 1.4 µm ≤ Rz ≤ 3.1 µm, respectively. Moreover, surface roughness, Ra is also within stipulated precarious limit of 1.5 µm (i.e. Ra < 1.5 µm) for turning with coated carbide inserts.

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“…Additionally, the nanofluid thermal dissipation is unequivocally spirited as ambient heat dissipation is poor to deliver the drive. Numerical and experimental reviews on heat spreading over rectangular domain are existent in texts [1][2][3][4][5][6][7]. Computational and experimental work with solidification also stand offered [8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling on Heat Dissipation from Electronics through Water-Titanium Carbide Nanofluid

Kund¹

2019

IJITEE

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In enduring examination, CFD codes stand established and executed with water-TiC nanofluid to envision the thermal alarms of ICs. The convective governing equalities of mass, force and drive are computed for envisaging the thermal issues of ICs. The time pace selected throughout the intact computation is 0.0001 s. The soundings affect CFD forecasts of temperature curve, temperature arena plus fluid-solid boundary temperature of IC. The fluid-solid boundary temperature of IC is viewed as 310 K. This stands far less than the chancy limit of 356 K temperature wished for the objective of outwitting thermal cataclysm of IC. Tritely, the temperature of water-TiC nanofluid stands peak contiguous to the IC locality. Further, the temperature of water-TiC nanofluid gently drops with improvement in aloofness from IC. Afterwards, this becomes surrounding temperature in the distant arena precinct. The analogous tinted temperature curve stands accessible. Besides, the harmonizing graph of temperature against distance from IC stands revealed. Tritely, the evolution of CFD construal stay beside the capabilities of stances.

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Numerical study of solidification of A356 aluminum alloy flowing on an oblique plate with experimental validation

Cited by 31 publications

References 26 publications

CFD Modeling on Influence of Impinging Spout Strength for Device Cooling with Water-Al2O3 Nanofluid

CFD Modeling on Influence of Impinging Spout Strength for Device Cooling with Water-Al2O3 Nanofluid

Determination of Surface Roughness Throughout CNC Turning of ASTM 316 Steel Expending Taguchi Method

Numerical Modeling on Heat Dissipation from Electronics through Water-Titanium Carbide Nanofluid

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