Direct temperature measurement via thermocouples within an SPS/FAST graphite tool

Radajewski, Markus; Decker, Sabine; Krüger, Lutz

doi:10.1016/j.measurement.2019.106863

Cited by 20 publications

(7 citation statements)

References 32 publications

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“…In the case of the horizontal striped bionic fingerprint tactile finger, the direction of the bionic fingerprint texture is perpendicular to the direction of the flat line; while the ring, array, and square bionic fingerprint tactile fingers generate a periodic vibrating voltage signal regardless of the direction of the slide. Texture spacing is an important indicator for identifying surface features of an object and can be found by substituting the principal frequency value into equation (1). where 𝑓 is the principal frequency, v is the sliding velocity of the tactile finger relative to the texture sample, and ∆𝑝 is the texture spacing.…”

Section: Experimental Results and Analysis Of Texture Spacing Recogni...mentioning

confidence: 99%

“…Texture perception is the basis for intelligent prosthetic hands to acquire information about the environment and manipulate objects precisely. The human hand can perceive sparse and fine textures, the former relying on distributed force information sensed by Merkel's contact discs (SAI) and Rafini vesicles (SAII) in the fingertip skin for recognition, and the latter relying on microvibration information sensed by Merkel's vesicles (FAI) and annular lamellar vesicles (FAII) in the fingertip skin for recognition [1]. When a human fingertip crosses the surface of an object, the finger surface fingerprint interacts with the surface microstructure of the object and generates a vibrational signal, which FAI and FAII transmit to the brain for analysis and discrimination.…”

Section: Introductionmentioning

confidence: 99%

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Tactile finger texture recognition study

Chen,

Zhou

2023

Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023)

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Tactile sensors integrated into the tip surface of smart prosthetic fingers are extremely important for grasping objects in patients with physical disabilities, as the tactile perception system can recognize characteristics such as roughness, material, softness and hardness. These depend on the sensor having texture recognition function. Therefore, this paper is designed to prepare a tactile finger with different shapes of bionic fingerprints as well as a tactile finger without fingerprint structure to carry out texture recognition experimental research to determine the fingerprint structure with the best accuracy of texture recognition. The results show that the tactile finger without fingerprint structure cannot recognize the surface texture of the object, while the tactile finger with fingerprint structure can recognize the texture spacing with a percentage error of 10% or less; the square bionic fingerprint tactile finger can recognize the texture spacing no matter sliding in x direction or sliding in y direction, and the percentage error between the actual texture spacing value The percentage error is only 0.69%, which is much lower than other shapes of bionic fingerprint, and the output voltage signal has higher vibration amplitude, so the square bionic fingerprint can significantly enhance the frictional vibration signal generated during the sliding process compared with other shapes of bionic fingerprint structure, and improve the texture recognition performance of the tactile finger.

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Section: Experimental Results and Analysis Of Texture Spacing Recogni...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tactile finger texture recognition study

Chen,

Zhou

2023

Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023)

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“…Since the industrial revolution, combustion has been applied in transportation, power generation, metallurgy, and aerospace. With the development of combustion research and application, the demands of combustion mechanism optimization and efficiency improvement could not be satisfied by the thermocouples and other traditional detection methods [1,2]. A non-contract in situ testing technique that will not destroy the combustion flow field is urgently needed, and it can obtain more different combustion parameters at the same time.…”

Section: Introductionmentioning

confidence: 99%

Optimized CT-TDLAS reconstruction performance evaluation of least squares with the polynomial-fitting method

Zhou

Cui

et al. 2022

Front. Phys.

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Computed tomography-tunable diode laser absorption spectroscopy (CT-TDLAS) has been widely used in the diagnosis of the combustion flow field. Several optimized CT reconstruction algorithms such as iteration methods, transformation methods, and nonlinear least squares were applied. Considering the industrial application background, the performances of algebraic iteration reconstruction with the simultaneous algebra reconstruction technique (SART), Tikhonov regularization, and least squares with the polynomial fitting method were discussed in this study. For the mentioned algorithm, identical simulated reconstruction parameters that contained 32-path laser structures, assumed temperature distribution, and absorption databases were adopted to evaluate the reconstruction performance including accuracy, efficiency, and measurement of environment applicability. In this study, different CT reconstruction algorithms were also used to calculate the temperature distribution of the Bunsen burner flame. The different reconstruction results were compared with thermocouple detection data. With the theoretically simulated and experimental analysis, the least squares with the polynomial fitting technique has advantages in reconstruction accuracy, calculation efficiency, and laser path applicability for the measurement condition. It will be helpful in enhancing CT-TDLAS technique development.

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“…Temperature measurement techniques can be classified into contact measurements, where thermocouples and resistance thermometers are included, and non-contact techniques, which include infrared (IR) cameras [ 1 , 2 ], pyrometers and micro-Raman spectrometers. Contact temperature sensors present the difficulty of placing them in difficult to access measuring zones; in particular, temperature measurements with thermocouples are highly influenced by the environmental temperature and the thermocouple length [ 3 , 4 ]. Due to the contact, they can also be destroyed when using them in high speed machining [ 5 , 6 , 7 , 8 ] and in grinding [ 9 ], where the workpiece is moving at a high speed.…”

Section: Introductionmentioning

confidence: 99%

Optical Fiber Pyrometer Designs for Temperature Measurements Depending on Object Size

Núñez-Cascajero

Tapetado

Vargas

et al. 2021

Sensors

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The modelling of temperature measurements using optical fiber pyrometers for different hot object sizes with new generalized integration limits is presented. The closed equations for the calculus of the radiated power that is coupled to the optical fiber for two specific scenarios are proposed. Accurate predictions of critical distance for avoiding errors in the optical fiber end location depending on fiber types and object sizes for guiding good designs are reported. A detailed model for estimating errors depending on target size and distance is provided. Two-color fiber pyrometers as a general solution are also discussed.

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Direct temperature measurement via thermocouples within an SPS/FAST graphite tool

Cited by 20 publications

References 32 publications

Tactile finger texture recognition study

Tactile finger texture recognition study

Optimized CT-TDLAS reconstruction performance evaluation of least squares with the polynomial-fitting method

Optical Fiber Pyrometer Designs for Temperature Measurements Depending on Object Size

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