Direct Temperature Gradient Measurement Using Interferometry

Naylor, David; Duarte, N.

doi:10.1080/089161599269609

Cited by 43 publications

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“…Ambient temperature was 305.5 K. Temperature distribution was reconstructed from the phase difference map using Eq. (12). Figure 8 (i) shows the reconstructed temperature profiles along the line AB at different times.…”

Section: Heat Flow Performances Of Heat Sinksmentioning

confidence: 99%

Applications of Digital Holographic Interferometry in Heat Transfer Measurements from Heated Industrial Objects

Kumar¹,

Shakher²

2023

Holography - Recent Advances and Applications

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Digital holographic interferometry (DHI) is used worldwide for many scientific and industrial applications. In DHI, two digital holograms; one in the reference/ambient state of the object and another in changed state of object are recorded by electronic imaging sensors (such as CCD/CMOS) as reference holograms and object holograms, respectively. Phase of object wavefronts in different states of the object is numerically reconstructed from digital holograms. The interference phase is reconstructed by subtracting the phase of reference hologram from the phase of object hologram, without performing any phase-shifting interferometry. Thus, no extra effort is needed in DHI for calculating the interference phase. Apart from direct reconstruction of interference phase from two digital holograms, the recent development, availability of recording devices at video rate, and high-performance computers make the measurements faster, reliable, robust, and even real-time. In this chapter, DHI is presented for the investigation of temperature distribution and heat transfer parameters such as natural convective heat transfer coefficient and local heat flux around the surface of industrial heated objects such as cylindrical wires and heat sinks.

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Section: Heat Flow Performances Of Heat Sinksmentioning

confidence: 99%

Applications of Digital Holographic Interferometry in Heat Transfer Measurements from Heated Industrial Objects

Kumar¹,

Shakher²

2023

Holography - Recent Advances and Applications

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A comparison between radial basis function (RBF) and adaptive neuro‐fuzzy inference system (ANFIS) to model the free convection in an open round cavity

Akbari

Karami

Ashjaee

2018

Heat Trans. Asian Res.

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This study demonstrates the capability of radial basis function (RBF) and adaptive neuro-fuzzy inference system (ANFIS) to model and predict the free convection heat transfer in an open round cavity. In fact, the effects of the Rayleigh number (Ra) and ratio of the nonconductor barrier distance from the bottom of the cavity to the cavity diameter (H/D), on the free convection in the cavity, are modeled via the RBF and ANFIS models. To start modeling, sufficient data are gathered. Here, data are experimentally generated using a Mach-Zehnder interferometer. In the next step, the RBF and ANFIS models are trained. According to the results, there is an optimum ratio (H/D), in which the heat transfer is maximum. This maximum value increases 2 AKBARI ET AL. 870 agreement with similar ones obtained experimentally. The mean relative errors of the training, testing, and checking data for the RBF model were found as 0.1348%, 1.1972%, and 2.4967%, respectively. Moreover, for the ANFIS model, the error values were 0.0731%, 0.9110%, and 1.9144%, which shows that RBF and ANFIS can predict the results precisely. K E Y W O R D Sadaptive neuro-fuzzy inference system (ANFIS), free convection, Mach-Zender interferometer, Nusselt number (Nu), radial basis function (RBF), round cavity

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Convective heat transfer studies in dilute alumina and silica nanofluids flowing through a channel using Mach-Zehnder interferometry

2020

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Direct Temperature Gradient Measurement Using Interferometry

Cited by 43 publications

References 0 publications

Applications of Digital Holographic Interferometry in Heat Transfer Measurements from Heated Industrial Objects

Applications of Digital Holographic Interferometry in Heat Transfer Measurements from Heated Industrial Objects

A comparison between radial basis function (RBF) and adaptive neuro‐fuzzy inference system (ANFIS) to model the free convection in an open round cavity

Convective heat transfer studies in dilute alumina and silica nanofluids flowing through a channel using Mach-Zehnder interferometry

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