Acquisition of kHz-frequency two-dimensional surface temperature field using phosphor thermometry and proper orthogonal decomposition assisted long short-term memory neural networks

Cai, Tao; Deng, Zhiwen; Park, Yoonseong; Mohammadshahi, Shabnam; Liu, Yingzheng; Kim, Kyung Chun

doi:10.1016/j.ijheatmasstransfer.2020.120662

Cited by 21 publications

(7 citation statements)

References 35 publications

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“…Cai et al developed a NN that combined the temporal resolution of thermocouples with the spatial resolution of phosphors to produce a high‐resolution 2D surface temperature field at kHz‐frequency. [ 346 ] As such, in a single approach, the authors overcame the experimental limitations of traditional thermocouples and phosphor thermometers. These studies highlight the potential of artificial NN in luminescence thermometry and suggest that different neural network architectures can be used to address specific limitations.…”

Section: Approaches To Tackle the Discussed Limitationsmentioning

confidence: 99%

“…There are also examples in which the advantages of luminescence thermometry are combined with those of other techniques. Cai et al developed a NN that combined the temporal resolution of thermocouples with the spatial resolution of phosphors to produce a high-resolution 2D surface temperature field at kHz-frequency [346]. As such, in a single approach, the authors overcame the experimental limitations of traditional thermocouples and phosphor thermometers.…”

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confidence: 99%

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Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting‐Edge Applications

et al. 2023

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Luminescence (nano)thermometry is a remote sensing technique that relies on the temperature dependency of the luminescence features (e.g., bandshape, peak energy or intensity, and excited state lifetimes and risetimes) of a phosphor to measure temperature. This technique provides precise thermal readouts with superior spatial resolution in short acquisition times. Although luminescence thermometry is just starting to become a more mature subject, it exhibits enormous potential in several areas, e.g., optoelectronics, photonics, micro‐ and nanofluidics, and nanomedicine. This work reviews the latest trends in the field, including the establishment of a comprehensive theoretical background and standardized practices. The reliability, repeatability, and reproducibility of the technique are also discussed, along with the use of multiparametric analysis and artificial‐intelligence algorithms to enhance thermal readouts. In addition, examples are provided to underscore the challenges that luminescence thermometry faces, alongside the need for a continuous search and design of new materials, experimental techniques, and analysis procedures to improve the competitiveness, accessibility, and popularity of the technology

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Section: Approaches To Tackle the Discussed Limitationsmentioning

confidence: 99%

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confidence: 99%

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting‐Edge Applications

et al. 2023

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“…57 Only a few papers reporting the application of dimensionality reduction methods to luminescence thermometry are known so far. [57][58][59][60][61] Recently Ximendes et al showed that linear (principal component analysis) and nonlinear (t-distributed stochastic neighbor embedding) transformation-based dimensionality reduction methods lead to comparable results in terms of the obtained thermometric performances. 57 In this work, we provide single-and multiparametric luminescence thermometry using Eu 3+ -doped Ba 3 (VO 4 ) 2 nanopowders.…”

Section: Introductionmentioning

confidence: 99%

Single vs. mutliparametric luminescence thermometry: the case of Eu³⁺-doped Ba₃(VO₄)₂ nanophosphors

Kolesnikov,

Mamonova,

Kurochkin

et al. 2023

J. Mater. Chem. C

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“…33−35 More recently, after combining MFG-based temperature measurement technology with machine learning technology, a kHz 2D temperature measurement was achieved. 36 The MFG particles were usually mixed with a binder and sprayed onto the target surface. In this study, a flexible temperature sensor based on phosphorescence was developed on a PI substrate through a facile method.…”

Section: ■ Introductionmentioning

confidence: 99%

“…The temperature measurement capability of MFG under ultra-high and cryogenic temperature conditions has been verified. And new methods of the MFG-based temperature measurement such as the three-frame method and rise time method were proposed. − More recently, after combining MFG-based temperature measurement technology with machine learning technology, a kHz 2D temperature measurement was achieved . The MFG particles were usually mixed with a binder and sprayed onto the target surface.…”

Section: Introductionmentioning

confidence: 99%

Phosphorescence-Based Flexible and Transparent Optical Temperature-Sensing Skin Capable of Operating in Extreme Environments

Cai

Yan

Park

et al. 2021

ACS Appl. Polym. Mater.

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A phosphorescence-based flexible optical temperature-sensing skin was developed for temperature sensing in intelligent bionic robots and automated medical treatment. 4,4-Diamino diphenyl ether and 4,4′-oxydiphthalic anhydride were combined as polyimide for use as the substrate of the flexible sensor. The substrate was doped with 6 μm MFG particles as temperature probes. Ultrasonic dispersion and thermal imidization were used to prepare a 45-μm-thick flexible temperature sensor. Compared with a traditional electronic-based flexible temperature sensor, the flexible temperature sensor has the advantages of noncontact measurement, a wide range of measurement temperature (−150 to 300 °C), high spatial resolution, and accuracy. It can also survive in harsh environments, including extremely low temperatures and high temperatures, and can withstand large deformations and large stresses. Its flexibility, extreme environmental resistance, and excellent mechanical properties show that it has great potential for wireless temperature measurement.

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Acquisition of kHz-frequency two-dimensional surface temperature field using phosphor thermometry and proper orthogonal decomposition assisted long short-term memory neural networks

Cited by 21 publications

References 35 publications

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting‐Edge Applications

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting‐Edge Applications

Single vs. mutliparametric luminescence thermometry: the case of Eu³⁺-doped Ba₃(VO₄)₂ nanophosphors

Phosphorescence-Based Flexible and Transparent Optical Temperature-Sensing Skin Capable of Operating in Extreme Environments

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Acquisition of kHz-frequency two-dimensional surface temperature field using phosphor thermometry and proper orthogonal decomposition assisted long short-term memory neural networks

Cited by 21 publications

References 35 publications

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting‐Edge Applications

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting‐Edge Applications

Single vs. mutliparametric luminescence thermometry: the case of Eu3+-doped Ba3(VO4)2 nanophosphors

Phosphorescence-Based Flexible and Transparent Optical Temperature-Sensing Skin Capable of Operating in Extreme Environments

Contact Info

Product

Resources

About

Single vs. mutliparametric luminescence thermometry: the case of Eu³⁺-doped Ba₃(VO₄)₂ nanophosphors