Spray water cooling heat transfer at high temperatures and liquid mass fluxes

Wendelstorf, Jens; Spitzer, Karl‐Heinz; Wendelstorf, R.

doi:10.1016/j.ijheatmasstransfer.2008.01.032

Cited by 165 publications

(97 citation statements)

References 15 publications

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“…New design variable Conjugate-gradient coefficient 2 K in water are estimated from the water jet heat transfer coefficient correlations by Wendelstorf et al [22], while the ℎ 5 = 160 W/m 2 K in air is estimated from the combined natural and radiation heat transfer theory [23]. The search trend of the final average temperature for these two initial guess values was close to the objective value step by step and were within the error range.…”

Section: Resultsmentioning

confidence: 99%

Optimal Heat Transfer Coefficient Distributions during the Controlled Cooling Process of an H-Shape Steel Beam

Gan

Jang

2017

Advances in Materials Science and Engineering

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Three-dimensional thermal-mechanical models for the prediction of heat transfer coefficient distributions with different size beams are investigated. H300 × 300, H250 × 250, and H200 × 200 H-shape steel beams are investigated in a controlled cooling process to obtain the design requirements for maximum uniform temperature distributions and minimal residual stress after controlled cooling. An algorithm developed with the conjugated-gradient method is used to optimize the heat transfer coefficient distribution. In a comparison with the three group results, the numerical results indicate that, with the same model and under the same initial temperature ( = 850 ∘ C) and final temperature ( = 550 ± 10 ∘ C), the heat transfer coefficients obtained with the conjugatedgradient method can produce more uniform temperature distribution and smaller residual web stress, with objective functions of the final average temperature ave ± Δ and maximum temperature difference to minimum min{Δ max ( , )}. The maximum temperature difference is decreased by 57 ∘ C, 74 ∘ C, and 75 ∘ C for Case 1, Case 2, and Case 3, respectively, the surface maximum temperature difference is decreased by 60∼80 ∘ C for three cases, and the residual stress at the web can be reduced by 20∼40 MPa for three cases.

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Section: Resultsmentioning

confidence: 99%

Optimal Heat Transfer Coefficient Distributions during the Controlled Cooling Process of an H-Shape Steel Beam

Gan

Jang

2017

Advances in Materials Science and Engineering

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“…[1][2][3], nevertheless heat transfer coefficients (HTC) can still differ over spray width, leading to uneven heat removal during casting. [4][5][6][7] Mean heat transfer coefficients based on adjusted water impact densities [8][9][10][11] are commonly used to describe the heat removal in the secondary cooling zone in continuous casting process simulations, aiming on simplicity and calculation speed. More complex approaches separate these mean values into local mean HTC values over spray width [12][13][14] to reach a more detailed look on temperature distribution below the nozzle.…”

Section: Introductionmentioning

confidence: 99%

“…The demand on more detailed information on heat removal thus lead to the development of several test assemblies on laboratory scale to measure local heat transfer coefficients. [10,[26][27][28] 2. Experimental equipment A so called nozzle-measuring-stand (NMS) was developed as prototype within the frame of a K1-MET-Phase1 project in cooperation with voestalpine Stahl Donawitz GmbH, at the Chair of Ferrous Metallurgy (CoFM), Montanuniversität Leoben (MUL).…”

Section: Introductionmentioning

confidence: 99%

Experimental und numerical investigations on cooling efficiency of Air-Mist nozzles on steel during continuous casting

Arth

Taferner

Bernhard

et al. 2016

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Cooling strategies in continuous casting of steel can vary from rapid cooling to slow cooling, mainly controlled by adjusting the amount of water sprayed onto the surface of the product. Inadequate adjustment however can lead to local surface undercooling or reheating, leading to surface and inner defects. This paper focuses on cooling efficiency of Air-Mist nozzles on casted steel and the experimental and numerical prediction of surface temperature distributions over the product width. The first part explains the determination of heat transfer coefficients (HTC) on laboratory scale, using a so called nozzle measuring stand (NMS). Based on measured water distributions and determined HTC's for air-mist nozzles using the NMS, surface temperatures are calculated by a transient 2D-model on a simple steel plate, explained in the second part of this paper. Simulations are carried out varying water impact density and spray water distribution, consequently influencing the local HTC distribution over the plate width. Furthermore, these results will be interpreted with regard to their consequence for surface and internal quality of the cast product. The results reveal the difficulty of correct adjustment of the amount of sprayed water, concurrent influencing water distribution and thus changing HTC distribution and surface temperature.

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“…The conclusion clarifies that local impingement pressure plays a vital role in both single phase and multi-phase spray cooling. Wendelstorf et al (2008) studied about the transfer of heat during the water spray cooling of clean surface using full cone nozzles (Vd =14 m/s, dd=350 lm) within the parameter range of Vs=3-30 Kg/ (m 2 .s). The temperature was kept between 200-1100 0 C. The stable film boiling regime depicts decreasing HTC with temperature difference.…”

Section: Introductionmentioning

confidence: 99%

Desirability function based optimization of experimental data for air-water spray impingement cooling

Nayak¹,

Mishra²

2016

10.5267/j.msl

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The current research copes with the optimization of the surface heat transfer coefficients of a square mild steel test specimen by spray impingement cooling. A laboratory scale experimental setup was developed at School of Mechanical Engineering KIIT University, Odisha, India to investigate the role of various process parameters to enhance the heat transfer from the surface of the heated steal specimen. The mild steel plates of dimension 120 mm × 120 mm, and different thicknesses of 4 mm, 6 mm and 8 mm were used in the experiment. The effect of the process parameters such as thickness of the tested plate, nozzle to plate distance, air and water pressure upon the surface heat transfer coefficient (HTC) was optimized. The optimization of the controlling parameters was carried out by using the desirability functions. The Design Expert 8 software was used to analyze the experimental results. A new correlation was developed for optimization of the surface heat transfer coefficient.

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Spray water cooling heat transfer at high temperatures and liquid mass fluxes

Cited by 165 publications

References 15 publications

Optimal Heat Transfer Coefficient Distributions during the Controlled Cooling Process of an H-Shape Steel Beam

Optimal Heat Transfer Coefficient Distributions during the Controlled Cooling Process of an H-Shape Steel Beam

Experimental und numerical investigations on cooling efficiency of Air-Mist nozzles on steel during continuous casting

Desirability function based optimization of experimental data for air-water spray impingement cooling

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