Some Experimental Investigations on Gas Turbine Cooling Performed with Infrared Thermography at Federico II

Astarita, Tommaso; Cardone, Gennaro; Luca, Luigi De; Carlomagno, Giovanni Maria

doi:10.1155/2015/890414

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…ribs, pins). Infrared cameras can be used for heat transfer measurement [3]. However, the difficulties in manufacturing test models with walls transparent to infrared radiation can limit substantially the application of this method for very large or complex geometries.…”

Section: Current State-of-artmentioning

confidence: 99%

Rotating Heat Transfer Measurements on a Multi-Pass Internal Cooling Channel: I — Rig Development

Pagnacco

Furlani

Armellini

et al. 2016

Volume 5B: Heat Transfer

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Section: Current State-of-artmentioning

confidence: 99%

Rotating Heat Transfer Measurements on a Multi-Pass Internal Cooling Channel: I — Rig Development

Pagnacco

Furlani

Armellini

et al. 2016

Volume 5B: Heat Transfer

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“…In recent years, non-contact temperature measurement technologies such as infrared radiation temperature measurement, crystal temperature measurement and laser temperature measurement have made amazing progress, especially the method of using infrared technology to measure the temperature of objects has been widely used [6][7][8]. Astarita et al [9] described in detail the measurement method of convective heat transfer coefficient related to complex fluid in fixed and rotating parts of gas turbine, and used cationic thin foil sensor to measure surface temperature by infrared method. Shin et al [10] accurately detected the infrared temperature of two typical low and high emissivity surfaces in a high temperature wind tunnel by taking the gas turbine background radiation and the target's spectral emittance into proper consideration.…”

Section: Introductionmentioning

confidence: 99%

Infrared monitoring and identification of lubricating oil pipe on a gas turbine based on faster RCNN

Yin

夏²,

王³

et al. 2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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The reliable work of gas turbine depends heavily on the good operation of the lubricating oil system and monitoring the temperature of lubricating oil removing heat from the heated end components can indirectly reflect the working state of the gas turbine, so the research on the infrared monitoring and identification of lubricating oil pipe on a gas turbine is of great significance to analyze the working state of the gas turbine. The method of infrared detection and recognition based on deep neural network is proposed in this paper, three different pipes were identified in a certain field of vision. The network obtained was tested by testing data sets and was found to be unable to give a unique label to an object in the image, and it was not effective to identify the infrared characteristics of the lubricating oil pipe. In order to accurately identify the three pipes, the pre-training AlexNet, Vgg16, Vgg19 and Resnet50 networks were used for training and testing the pipes by Faster RCNN algorithm. The results show that the method can accurately identify the lubricating oil pipe and other parts on the gas turbine, and the identification accuracy are more than 80%. Comparing with the training and testing results of four kinds of the transfer networks, the detection accuracy of Resnet50 transfer network for the oil pipe was lower than that of the other three transfer networks in the case of background interference, and the accuracy of the method was 89.5%.

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“…Literature Review projects. Commonly-seen applications include non-destructive testing [9], laser welding [10], bio-information collection and analysis in physiology [11][12][13], sport science [14,15], medication [16][17][18][19], ecology [20,21], geomorphic changes monitoring in geology [22], heat transfer analysis [23,24], thermal analysis of semiconductor lasers [25], etc. This method utilizes the fact that the energy radiated from a surface is dependent on its temperature.…”

Section: Surface Temperature Measurement Thermometrymentioning

confidence: 99%

Non-contact laser-ultrasonic subsurface thermography using waveform inversion

Hu¹

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Metallic engineering components exposed to high temperature for an extensive time are vulnerable to deterioration of mechanical properties due to the formation of micro-structural defects such as creep, embrittlement, graphitization. These defects starts to initiate when the temperature of engineering components is greater than a threshold. As a useful tool, thermography can assist in providing relevant information for the determination of locations where these defects can potentially form.Conventional thermography methods in non-destructive testing, for example, the infrared thermography, are applicable only to map the surface temperature which could not estimate the positions of the subsurface defects caused by high temperature. There has been some development of internal thermal imaging techniques in the medical field based on magnetic-resonance (MR) and X-ray. However, these methods are not applicable to high-temperature metallic materials in NDT considering their limited measuring range of less than 100 • C, the low penetration depth, and potential disturbance to the original temperature field.The work presented in this thesis extends the scope of temperature imaging for hightemperature metals from surface to subsurface. The challenge of the subsurface thermography comes from satisfying simultaneously the four requirements: 1) to avoid damages of measuring instruments caused by the high temperature of the heated sample, 2) compatible with metal materials, 3) little disturbance to the target temperature field, 4) reliable data collection with high SNR. To overcome the challenge, the non-contact subsurface thermography using laser-ultrasonic waveform ix ABSTRACT inversion is proposed.The subsurface thermography based on the traveltimes of Rayleigh wave is presented. The feasibility of the proposed thermography is validated experimentally.A relative error of 10% within 1 wavelength is observed. The performance of the proposed subsurface thermography, including the average error, the reconstruction depth and the resistance to noise, is investigated numerically. The effective range of temperature reconstruction is defined, within which the average reconstruction error is around 5%. The depth of effective reconstruction is around 1.3 wavelength.The inverted results with noise added at different levels indicate that the proposed method has a strong resistance to noise.Apart from traveltime, other information such as frequency and amplitude, contained in the laser-ultrasound waveforms can also provide useful information for subsurface thermography. The subsurface thermography based on the full-waveform inversion method is therefore proposed. The experimental results show a relative error of 10% within a depth of 1 wavelength. Compared with the experimental results using traveltime, the overall accuracy of the experimental results is lower as full-waveform inversion requires a higher accuracy in the collected signals and the consistency between the numerical configuration and the experimental setup. Numerical models ...

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Some Experimental Investigations on Gas Turbine Cooling Performed with Infrared Thermography at Federico II

Cited by 3 publications

References 25 publications

Rotating Heat Transfer Measurements on a Multi-Pass Internal Cooling Channel: I — Rig Development

Rotating Heat Transfer Measurements on a Multi-Pass Internal Cooling Channel: I — Rig Development

Infrared monitoring and identification of lubricating oil pipe on a gas turbine based on faster RCNN

Non-contact laser-ultrasonic subsurface thermography using waveform inversion

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