J042031 Quantitative Evaluation of Surface Temperature Distributions of Heated Materials by Laser-Ultrasound

2011 ◽  
Vol 2011 (0) ◽  
pp. _J042031-1-_J042031-3
Author(s):  
Akira KOSUGI ◽  
Ikuo IHARA
Keyword(s):  
Surface Temperature ◽  
Quantitative Evaluation ◽  
Laser Ultrasound ◽  
Temperature Distributions

scholarly journals 3D Thermal Monitoring of Jointed Rock Masses through Infrared Thermography and Photogrammetry

2021 ◽  
Vol 13 (5) ◽  
pp. 957
Author(s):  
Guglielmo Grechi ◽  
Matteo Fiorucci ◽  
Gian Marco Marmoni ◽  
Salvatore Martino
Keyword(s):  
Surface Temperature ◽  
Infrared Thermography ◽  
Point Cloud ◽  
Engineering Geology ◽  
Point Clouds ◽  
Jointed Rock ◽  
Geometric Accuracy ◽  
Rock Masses ◽  
Natural Systems ◽  
Temperature Distributions

The study of strain effects in thermally-forced rock masses has gathered growing interest from engineering geology researchers in the last decade. In this framework, digital photogrammetry and infrared thermography have become two of the most exploited remote surveying techniques in engineering geology applications because they can provide useful information concerning geomechanical and thermal conditions of these complex natural systems where the mechanical role of joints cannot be neglected. In this paper, a methodology is proposed for generating point clouds of rock masses prone to failure, combining the high geometric accuracy of RGB optical images and the thermal information derived by infrared thermography surveys. Multiple 3D thermal point clouds and a high-resolution RGB point cloud were separately generated and co-registered by acquiring thermograms at different times of the day and in different seasons using commercial software for Structure from Motion and point cloud analysis. Temperature attributes of thermal point clouds were merged with the reference high-resolution optical point cloud to obtain a composite 3D model storing accurate geometric information and multitemporal surface temperature distributions. The quality of merged point clouds was evaluated by comparing temperature distributions derived by 2D thermograms and 3D thermal models, with a view to estimating their accuracy in describing surface thermal fields. Moreover, a preliminary attempt was made to test the feasibility of this approach in investigating the thermal behavior of complex natural systems such as jointed rock masses by analyzing the spatial distribution and temporal evolution of surface temperature ranges under different climatic conditions. The obtained results show that despite the low resolution of the IR sensor, the geometric accuracy and the correspondence between 2D and 3D temperature measurements are high enough to consider 3D thermal point clouds suitable to describe surface temperature distributions and adequate for monitoring purposes of jointed rock mass.

Calculated and experimental flat and wavy surface temperature distributions

1999 ◽  
Author(s):  
Vladimir Shvedchenko ◽  
Ivan Yegorov ◽  
Wolfgang Fischer ◽  
Johann Antonenko ◽  
Boris Zhestkov ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Wavy Surface ◽  
Temperature Distributions

Temperature Distributions in Microscale Fractal-Like Branching Channel Networks

2003 ◽  
Author(s):  
Ali Y. Alharbi ◽  
Deborah V. Pence ◽  
Rebecca N. Cullion
Keyword(s):  
Surface Temperature ◽  
Boundary Layers ◽  
Heat Sinks ◽  
Dimensional Model ◽  
One Dimensional ◽  
Temperature Distributions ◽  
Fluid Properties ◽  
Minor Losses ◽  
Branching Flow ◽  
The One

Heat transfer to liquid flow through fractal-like branching flow networks is investigated using a three-dimensional computational fluid dynamics approach. Results are used to assess the validity of, and provide insight for improving, assumptions imposed in a previously developed one-dimensional model to predict wall temperature distributions along a fractal-like flow network. Assumptions in the one-dimensional model include (1) reinitiating thermal and hydrodynamic boundary layers following each bifurcation, (2) negligible minor losses at the bifurcations, and (3) constant thermo-physical fluid properties. It is concluded that temperature varying fluid properties and minor losses should be incorporated in the one-dimensional model to improve its predictive capabilities. No changes to the redevelopment of the boundary layers at each wall following a bifurcation are recommended. Surface temperature distributions along heat sinks with parallel and fractal-like branching flow networks are also investigated and compared. For the same observed maximum surface temperature between the two heat sinks, considerably lower temperature variations and pressure drops, greater than 50 percent, are noted for the fractal-like heat sink.

scholarly journals ON THE REMOTE SENSING OF HAWKING GREY PULSES

1998 ◽  
Vol 13 (09) ◽  
pp. 695-699 ◽  
Author(s):  
HARET C. ROSU
Keyword(s):  
Remote Sensing ◽  
Black Holes ◽  
Black Hole ◽  
Surface Temperature ◽  
Short Note ◽  
Spectral Measurements ◽  
Temperature Distributions ◽  
Inverse Transform ◽  
Möbius Inverse

This is a short note on the black hole remote-sensing problem, i.e. finding out "surface" temperature distributions of various types of small (micron-sized) black holes from the spectral measurements of their Hawking grey pulses. Chen's modified Möbius inverse transform is illustrated in this context.

Modeling of surface temperature distributions on powered e-textile structures using an artificial neural network

2017 ◽  
Vol 89 (3) ◽  
pp. 311-321 ◽  
Author(s):  
Senem Kursun Bahadir ◽  
Umut Kivanc Sahin ◽  
Alper Kiraz
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Surface Temperature ◽  
Electric Power ◽  
Cold Weather ◽  
Sample Type ◽  
Ann Model ◽  
Temperature Distributions ◽  
Different Types ◽  
Artificial Neural

An artificial neural network (ANN) model is constructed to derive the surface temperature of e-textile structures developed for cold weather clothing. A series of textile transmission lines made of different types of conductive yarns, insulated by using different types of seam tapes, were enclosed in a thermoplastic textile structure via hot air welding technology, and then they were powered with different levels of specific voltages in order to obtain different heating levels. The surface temperatures of the powered e-textile structures were measured using a thermal camera. The experimental input variables, sample type, temperature, feeding speed, resistance of samples, applied voltage and current were used to construct an ANN model and the outputs of surface temperature and electric power dissipated were used to test the prediction performance of the developed model. It was concluded that the ANN provided substantial predictive performance. Simulations based on the developed ANN model can estimate the surface temperature distributions of powered e-textile structures under different conditions. The ANN model developed for prediction of electric power dissipated was very successful and can be useful for e-textile product designers as well as textile manufacturers, particularly for cold weather protection products such as jackets, gloves and outdoor sleeping mats.

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