scholarly journals Modeling a Rotating Circle Thermal Field with a Thermal Source on the Edge

2015 ◽  
Vol 129 ◽  
pp. 317-320
Author(s):  
A.V. Herreinstein ◽  
E.A. Herreinstein ◽  
N. Mashrabov
Keyword(s):  
Thermal Field ◽  
Thermal Source

scholarly journals Some aspects of modelling and simulation of spot welding

2018 ◽  
Vol 178 ◽  
pp. 03006
Author(s):  
Viorel Cohal
Keyword(s):  
Welded Joints ◽  
Spot Welding ◽  
Thermal Field ◽  
Base Material ◽  
Heat Losses ◽  
Thermal Source ◽  
Thermal Processes ◽  
Element Analysis ◽  
Material Density ◽  
Composition And Structure

Mathematical modelling and finite element analysis of thermal processes, much more complex in welding different metals in terms of chemical composition and structure, have allowed investigation and deepening of heat transfer phenomena and the establishment of a new technological spot welding variant for these joints. The distribution of temperatures in welded joints is influenced by the linear energy of the thermal source, the thermal properties of the base material (heat specific heat conductivity, material density and thermal diffusivity) and heat losses to the environment. Thermal field viewing, longitudinal and transverse variations of temperature in heterogeneous welded joints, as well as temperature values recorded at different nodes (points) located in the welding area and adjacent areas, lead to conclusions that will result in specific spot welding technologies.

scholarly journals Identification of radiant source in an enclosure by reduced model

2021 ◽  
Vol 2116 (1) ◽  
pp. 012112
Author(s):  
Benjamin Gaume ◽  
Yassine Rouizi ◽  
Frédéric Joly ◽  
Olivier Quéméner
Keyword(s):  
Thermal Field ◽  
Trust Region ◽  
Original Method ◽  
Reduced Model ◽  
Average Error ◽  
Thermal Source ◽  
Reduced Order ◽  
Model Method ◽  
Modal Model ◽  
Higher Rank

Abstract We propose an original method to recover from a few measurement points the integrity of the temperature field of a furnace heated by a radiant thermal source. The radiant thermal source is first identified via a low order reduced model based on based on AROMM (Amalgam Reduced Order Modal Model) method which preserves the integrity of the geometry. The minimization is performed via a trust-region reflective least squares algorithm implemented in MATLAB “lsqcurvefit” function. From that identified heat flux, the integrity of the thermal field is then recovered by direct simulation thanks to a reduced model of higher rank to have a better precision. The treated application is a complex titanium piece heated by two radiant panels placed in a furnace. With four measuring points, the temperature of the whole thermal scene is retrieved at all times with an average error around 1 K on the studied object.

Ultra-spatially resolved synchrotron powered FT-IR microspectroscopy of individual cells of biological material

1995 ◽  
Vol 53 ◽  
pp. 884-885
Author(s):  
David L. Wetzel ◽  
John A. Reffner ◽  
Gwyn P. Williams
Keyword(s):  
Thermal Noise ◽  
Spot Size ◽  
Acquisition Time ◽  
Thermal Source ◽  
Signal To Noise ◽  
Spatially Resolved ◽  
Good Spatial Resolution ◽  
Small Spot ◽  
Ft Ir ◽  
Ir Microspectroscopy

Synchrotron radiation is 100 to 1000 times brighter than a thermal source such as a globar. It is not accompanied with thermal noise and it is highly directional and nondivergent. For these reasons, it is well suited for ultra-spatially resolved FT-IR microspectroscopy. In efforts to attain good spatial resolution in FT-IR microspectroscopy with a thermal source, a considerable fraction of the infrared beam focused onto the specimen is lost when projected remote apertures are used to achieve a small spot size. This is the case because of divergence in the beam from that source. Also the brightness is limited and it is necessary to compromise on the signal-to-noise or to expect a long acquisition time from coadding many scans. A synchrotron powered FT-IR Microspectrometer does not suffer from this effect. Since most of the unaperatured beam’s energy makes it through even a 12 × 12 μm aperture, that is a starting place for aperture dimension reduction.

THERMAL FIELD DESORPTION

1989 ◽  
Vol 50 (C8) ◽  
pp. C8-9-C8-14
Author(s):  
H. J. KREUSER ◽  
L. C. WANG
Keyword(s):  
Thermal Field ◽  
Field Desorption

THERMAL FIELD PREDICTION IN ELECTRONIC EQUIPMENT

1986 ◽  
Author(s):  
J. P. Lejannou ◽  
M. Cadre ◽  
A. Latrobe ◽  
A. Viault
Keyword(s):  
Thermal Field ◽  
Electronic Equipment

Micro-Thermal Field-Flow Fractionation

2002 ◽  
Vol 67 (11) ◽  
pp. 1596-1608 ◽  
Author(s):  
Josef Janča
Keyword(s):  
High Performance ◽  
Thermal Field ◽  
Temperature Drop ◽  
Point Of View ◽  
Constant Field ◽  
Field Flow Fractionation ◽  
Operational Mode ◽  
Experimental Conditions ◽  
Standard Size ◽  
Flow Fractionation

The effect of miniaturization of the separation channel on the performance of thermal field-flow fractionation (TFFF) is substantiated theoretically. The experiments carried out under carefully chosen experimental conditions proved the high performance of the separation of polymers within an extended range of molar masses from relatively low up to ultrahigh-molar-mass (UHMM) samples. The new micro-TFFF allows to achieve high resolution when applying constant field force operation, it makes easy the programming of the temperature drop which is an advantageous operational mode from the point of view of the time of analysis, and it extends considerably the range of perfectly controlled temperature of the cold wall due to a substantial decrease in the heat energy flux compared with standard size channels.

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