Computer-aided cooling curve analysis using WinProbe

Meekisho, Lemmy; Hernández-Morales, B.; Tellez-Martinez, J.S.; Chen, X.

doi:10.1504/ijmpt.2005.007946

Cited by 12 publications

(6 citation statements)

References 6 publications

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“…It must be noted that the curve for TC2 shows a time lag with respect to the events at the surface. The thermal history measured with TC1 was used to estimate the surface heat flux and the surface temperature, by numerically-solving the 1D-IHCP implemented in the WinProbe software [14]. In all cases, a value of r = 4 was chosen (r being the number of future time steps) and a finite-difference mesh consisting of 15 nodes between the probe center and the radial thermocouple position and 5 nodes between the latter and the probe surface.…”

Section: Resultsmentioning

confidence: 99%

Characterization of Boiling Phenomena during Laboratory-Scale Forced Convection Quenching

Cruces¹,

Hernández²,

Novas³

2018

World Congress on Mechanical, Chemical, and Material Engineering

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An experimental investigation was conducted to correlate heat extraction with boiling phenomena at the liquid-probe interface during forced convective quenching of a steel probe in a laboratory-scale facility. A conical-end probe made of AISI 304 stainless steel instrumented with two type-K thermocouples was rapidly cooled from 850 °C in water at 60°C, flowing with a free-stream velocity of 0.2 m/s. Bubble formation, growth and detachment at the probe surface was recorded with a high-speed video camera. Using the experimental cooling curves measured with the sub-surface thermocouple, the surface heat flux was estimated by solving a onedimensional inverse heat conduction problem (IHCP) without phase change. The inverse boiling curve obtained showed that the maximum peak on heat extraction was reached during the nucleate boiling stage and is associated with the time at which the wetting front passed though the thermocouple axial location. From image analysis, two regions can be distinguished as the wetting front travels through the probe: the wetting front, formed by small bubbles that grew rapidly and coalesced due to the large bubble population; and a region trailing the wetting front, where the size, population and dynamic behavior of the bubbles was quite different. These bubbles grew conserving a spheroidal shape until they reached their maximum size; when they were decreasing, a concave deformation was observed at the interface due to condensation caused by the quench media rewetting the surface and, finally, the bubble departed from the probe surface, collapsing in the bulk flow near the probe surface.

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Section: Resultsmentioning

confidence: 99%

Characterization of Boiling Phenomena during Laboratory-Scale Forced Convection Quenching

Cruces¹,

Hernández²,

Novas³

2018

World Congress on Mechanical, Chemical, and Material Engineering

View full text Add to dashboard Cite

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“…The heat extraction at the probe/quench medium interface is usually characterized by either a heat transfer coefficient or a surface heat flux; given the several heat extraction modes present during the quench, both of these quantities vary as the quench progresses. Using the thermal responses shown in Figure 20 as input, the surface heat flux was estimated applying the sequential function specification technique (Beck et al, 1982) whose algorithm has been implemented in the in-house code WinProbe (Meekisho et al, 2005). The code considers 1D heat flow, which in the context of these experiments implies ignoring any heat transferred in the axial direction.…”

Section: Wetting Front Kinematics and Heat Extractionmentioning

confidence: 99%

Experimental and Computational Study of Heat Transfer During Quenching of Metallic Probes

Hernández-Morales¹,

Vergara–Hernández²,

Solorio-Díaz³

et al. 2011

Evaporation, Condensation and Heat Transfer

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“…The inverse problem statement is found in diverse applications of science and engineering, contributing to creating new paradigms in the field of research due to its unique characteristic of not having a single solution. This condition mathematically defines them as poorly conditioned problems; therefore, they generally require applying specific mathematical techniques to ensure the solution method's stability (Beck, Litkouhi, & St. Clair, 1982) (Krzysztof, 2011) (Meekisho, Hernandez-Morales, Tellez-Martinez, & Chen, 2005) (Beck, Blackwell, & Haji-Sheikh, 1996) (Blanc, Raynaud, & Chau, 1998). Therefore, since there is high-capacity computing technology, the possibility of implementing additional analyzes or modifications to the techniques that contribute to its optimization arises.…”

Section: Introductionmentioning

confidence: 99%

Trend analysis in the 1D solution of the inverse heat conduction problem by the sequential function specification technique

Téllez-Martínez¹,

Pérez-Quiroz²,

Hortelano-Capetillo³

et al. 2022

JOES

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Inverse heat conduction problems are categorized by the solution technique or algorithm (Function Specification, Regularization, Laplace Transform, Conjugate Gradient, Mollification), by the solution method (Duhamel's Theorem, Difference Method Finite, Finite Element Method), and by the time domain (Stoltz Method, Sequential Method, and Complete Domain). In the direct approach, the unique solution of an effect due to a cause is obtained. From the cause-effect view, inverse problems are characterized by not meeting the existing criteria and the uniqueness of determining the cause when analyzing an effect. However, this has promoted the implementation of robust methods to optimize the stability of a solution. In this work, the study system consists of a long solid cylinder at an elevated temperature that is cooled. The implemented methodology allowed the creation of data trends through linear extrapolation to improve estimation accuracy for abrupt changes in the function (boundary condition). The results show an acceptable increase in punctual precision in the estimation, and it is a consequence of the solution that the calculated thermal histories already contain an implicit degree of error.

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Computer-aided cooling curve analysis using WinProbe

Cited by 12 publications

References 6 publications

Characterization of Boiling Phenomena during Laboratory-Scale Forced Convection Quenching

Characterization of Boiling Phenomena during Laboratory-Scale Forced Convection Quenching

Experimental and Computational Study of Heat Transfer During Quenching of Metallic Probes

Trend analysis in the 1D solution of the inverse heat conduction problem by the sequential function specification technique

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