Untersuchung des Wärmeübergangs an einer simulierten Sekundärkühlzone beim Stranggießverfahren

Müller, Hansjörg; Jeschar, Rudolf

doi:10.1002/srin.197302450

Cited by 19 publications

(12 citation statements)

References 3 publications

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“…Wecan rewrite Eq. (8) Next, the cooling curves have beencalculated by using Eq. (8) and comparedwith the experimental data.…”

Section: Introductionmentioning

confidence: 99%

“…(8) Next, the cooling curves have beencalculated by using Eq. (8) and comparedwith the experimental data. Figure 5 gives the comparison of the calculated results obtained by using Eq, (8) with the experimental cooling curves at the plate center (x=0 (cm)) and at x= 6 (cm (2)).…”

Section: Introductionmentioning

confidence: 99%

“…(8) and comparedwith the experimental data. Figure 5 gives the comparison of the calculated results obtained by using Eq, (8) with the experimental cooling curves at the plate center (x=0 (cm)) and at x= 6 (cm (2)). When one independent parameter is changed on the constant volumetric water fiux condition, it is far more common that other independent parameters vary automatically.…”

Section: Introductionmentioning

confidence: 99%

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Predictable Modelling of Heat Transfer Coefficient between Spraying Water and a Hot Surface above the Leidenfrost Temperature.

Fujimoto

Hatta

Asakawa³

et al. 1997

ISIJ International

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“…Wecan rewrite Eq. (8) Next, the cooling curves have beencalculated by using Eq. (8) and comparedwith the experimental data.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predictable Modelling of Heat Transfer Coefficient between Spraying Water and a Hot Surface above the Leidenfrost Temperature.

Fujimoto

Hatta

Asakawa³

et al. 1997

ISIJ International

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“…Combined, these effects can cause the temperature corresponding to minimum heat flux to vary from 300 to as high as 900~ [1]. In almost all of the literature reviewed by the authors, the relevant hydrodynamic parameters necessary to characterize spray heat transfer were volumetric flux (i.e., water flow rate per unit surface area) [2][3][4][5][6][7], drop velocity [3,[5][6][7][8] and drop diameter [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Film and transition boiling correlations for quenching of hot surfaces with water sprays

1992

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Abstract. Using a miniature gold plated copper disk as target, quenching experiments were performed with water sprays to correlate heat flux q" to surface-tofluid temperature difference A T, and the local values for the spray hydrodynamic parameters of volumetric flux Q", mean drop velocity Um and Sauter mean drop diameter d32 over a wide range of operating conditions (Q" = 0.58 • 10-3-9.96• 10 -3 m 3 sec-a/m 2, U m = 10.1-29.9 m/sec, d32 = 0.137-1.350 mm), and surface temperatures up to 520 ~ C. Drop diameter was found to have a weak effect on heat transfer in film boiling for all the conditions tested. Two distinct spray cooling regimes were identified, allowing the classification of sprays with respect to volumetric flux, low flux sprays for Q" < 3.5 • 10 -3 m 3 sec-1/m 2, and high flux sprays for Q" > 3.5 • 10 -3 m 3 sec-1/m z. While Q" had a significant influence on film boiling in both regimes, drop velocity was important only for the high flux sprays. A spray quenching test bed was also constructed to simulate, under controlled laboratory conditions, spray quenching of alloys in an industrial environment. The test bed was used to generate temperature-time records for a rectangular aluminum plate during spray quenching. Using the software package ANSYS, the measured temperature response was successfully simulated by utilizing the newly developed boiling correlations in defining boundary conditions for the quenched surface after accounting for spatial variations in the hydrodynamic parameters within the spray field. The effectiveness of this numerical technique for the tested configuration is proof that it may be possible to predict the temperature-time history for quenched parts with complicated shapes provided the spatial distributions of the hydrodynamic parameters are well mapped or predetermined. Nomenclature

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“…Another paper shows the value of the convective heat transfer coefficient at the high pressure. 6) The value is approximately 209 300 W/m 2°C . However this equation and this value related to the convective heat transfer coefficient cannot apply to the analysis of temperature distribution during the process of the hydraulic descaling because we need the convective heat transfer coefficient with the various conditions.…”

Section: Introductionmentioning

confidence: 95%

Convective Heat Transfer Coefficient for High Pressure Water Jet.

Choi

2002

ISIJ International

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The scale on the surface of hot rolled steel is removed by high pressure hydraulic descaling in a rolling mill. If the impact pressure of the water jet is higher, the scale is removed well. However, the temperature drop of the hot rolled steel is increased owing to the flow rate of the water jet. On this account, the temperature distribution of the hot rolled steel should be analyzed during the process of the hydraulic descaling. However, the analysis of the temperature distribution is difficult due to lack of the literatures on the convective heat transfer coefficient for the high pressure water jet. In the present study, the hydraulic descaling system is manufactured and the impact pressure is deduced from the relationship between spray pressure and spray height. And then the equation of the convective heat transfer coefficient is induced by the function of the impact pressure. The convective heat transfer coefficient is obtained from the experimental values by the hydraulic descaling system and the values calculated by numerical analysis. The equation of the convective heat transfer coefficient will aid to establish the most suitable conditions for operations in the rolling mill.

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Untersuchung des Wärmeübergangs an einer simulierten Sekundärkühlzone beim Stranggießverfahren

Cited by 19 publications

References 3 publications

Predictable Modelling of Heat Transfer Coefficient between Spraying Water and a Hot Surface above the Leidenfrost Temperature.

Predictable Modelling of Heat Transfer Coefficient between Spraying Water and a Hot Surface above the Leidenfrost Temperature.

Film and transition boiling correlations for quenching of hot surfaces with water sprays

Convective Heat Transfer Coefficient for High Pressure Water Jet.

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