Local Heat Flux
Local Heat Flux - Related Videos
10:29
Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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Cited by 14 •
2016
We describe the use of micro-thermocouples to estimate local temperature gradients in steady laminar boundary layer diffusion flames. By extension of the Reynolds Analogy, local temperature gradients can be further used to estimate the local mass burning rates and heat fluxes in such flames with high accuracy.
02:38
Local Heat Probe Assay: A Method to Assess Nociception of High Temperatures in Drosophila Larvae
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2023
Drosophila larvae have dedicated sensory neurons–nociceptors–whose response to potentially harmful thermal stimuli triggers aversive–or so-called "nocifensive"–behaviors in the animal. This video describes a method to assess thermal nociception by recording larval behavior in response to local application of a heat probe onto the cuticle. This method is, therefore, called the local heat probe assay.
11:34
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Cited by 7 •
2017
This method aims at locating vertical subsurface defects. Here, we couple a laser with a spatial light modulator and trigger its video input to heat a sample surface deterministically with two anti-phased modulated lines while acquiring highly resolved thermal images. The defect position is retrieved from evaluating thermal wave interference minima.
11:39
Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry
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Cited by 94 •
2017
Here, multispectral imaging flow cytometry with an analytical feature that compares bright detail images of 3 autophagy markers and quantifies their co-localization, along with LC3 spot counting, was used to measure autophagy in an objective, quantitative, and statistically robust manner.
09:05
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
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2019
The presented protocol uses the eddy covariance method at non-typical locations, applicable to all types of short-canopy ecosystems with limited area, on a currently reforested windthrow site in Poland. Details of measuring site setup rules, flux calculations and quality control, and final result analysis, are described.
FAQs
The temperature gradient establishes both the direction and local magnitude of conductive heat transfer. Fourier’s law assigns the heat-flux vector opposite to the gradient, meaning energy moves toward decreasing temperature. A steeper nearby temperature variation produces a larger flux when thermal conductivity remains the same, which helps engineers locate regions where thermal transfer is especially intense.
Thermal conductivity scales the conductive response to a given temperature gradient. According to Fourier’s law, materials with different conductivity values can produce different local flux magnitudes under comparable temperature variations. Including this property allows an analysis to distinguish whether a strong heat-transfer rate results primarily from the material’s ability to conduct energy, the surrounding temperature field, or both.
Convection and radiation can establish the heat-flux conditions imposed at a surface, even when conduction governs transfer within the material. Consequently, an engineering analysis must connect the surface condition with the internal temperature field rather than treating the conductive region in isolation. This connection is important for representing realistic heating and cooling boundaries in thermal systems.
A local result preserves position- and time-dependent variations that an average can conceal. In a system with nonuniform heating or cooling, different locations may experience substantially different transfer rates, creating localized hot spots or demanding cooling regions. Examining the spatial and temporal distribution therefore supports more targeted thermal evaluation than relying only on one overall value.
Engineers can evaluate the nearby temperature variation, determine the temperature gradient at the location of interest, and combine it with the material’s thermal conductivity through Fourier’s law. The resulting vector provides both magnitude and direction. Applying this calculation across a model or measured field helps reveal nonuniform transfer and provides results that can be compared with computational predictions.
In heat exchangers, local analysis reveals how thermal transfer varies across the relevant surfaces rather than assuming uniform performance. That information can expose regions with unusually high or low transfer and support assessment of the exchanger’s thermal behavior. It also helps engineers interpret whether a computational model represents the expected spatial distribution of heating or cooling.
Electronic cooling analyses use local heat-flux information to identify concentrated thermal loads and potential hot spots. Mapping these variations helps engineers assess whether cooling conditions address the most demanding regions instead of only matching an overall heat-removal value. The approach is therefore useful for evaluating nonuniform thermal behavior in systems where localized overheating matters.
Thermal protection designs must account for where heat transfer becomes most severe, not only for a system-wide average. Local values help identify demanding surface regions and evaluate the effectiveness of protection. The same spatially resolved results can be compared with computational models, allowing engineers to check whether predicted heating and cooling patterns agree with the analyzed system.