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ASM 2013 Fluxtrol Presentation - Enhancing Inductor Coil ReliabilityFluxtrol Inc.
http://fluxtrol.com
In induction hardening, thermal fatigue is one of the main failure modes of induction heating coils. There have been papers published that describe this failure mode and others that describe some good design practices [1-3]. The variables previously identified as the sources of thermal fatigue include radiation from the part surface, frequency, current, concentrator losses, water pressure and coil wall thickness. However, there is very little quantitative data on the factors that influence thermal fatigue in induction coils available in the public domain. By using finite element analysis software this study analyzes the effect of common design variables of inductor cooling, and quantifies the relative importance of these variables. A comprehensive case study for a single shot induction coil with Fluxtrol A concentrator applied is used for the analysis.
IR spectroscopy (which is short for infrared spectroscopy) deals with the infrared region of the electromagnetic spectrum, i.e. light having a longer wavelength and a lower frequency than visible light. Infrared Spectroscopy generally refers to the analysis of the interaction of a molecule with infrared light.
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Here are the all short channel effects that you require.It consist of:-
Drain Induced Barrier Lowering
Hot electron Effect
Impact Ionization
Surface Scattering
Velocity saturation
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1. Mixing of a thermal plume
in a highly stratified artificial
urban pond
A. Csibrán, T. Krámer and P. Torma
Budapest University of Technology and Economics,
Department of Hydraulic and Water Resources
Engineering, Budapest, Hungary
1
2. Preliminary
2
• Located in the heart of Budapest
• Inflow from a thermal bath
• High stratification
• Bad water quality
Hydraulically dead zones?
3D thermodynamic modelling
3. The lake
3
• Average water depth ≈ 1 meter
• Average lake temperature
in winter ≈ 20.5 °C
• Steady inflow
• 3500 m3/day, 32 °C
• Through a pipe at lower layers
• Surrounded by trees
• Low wind stress on surface
4. Grid
4
• Constraints of a curvilinear grid
• Boundary-fitted and near-orthogonal
• 20 layers (sharp vertical gradients)
• 7600x20 cells
• Cell area: from 0.1 m2 to 5 m2
5. Grid
5
• Constraints of a curvilinear grid
• Boundary-fitted and near-orthogonal
• 20 layers (sharp vertical gradients)
• 7600x20 cells
• Cell area: from 0.1 m2 to 5 m2
6. Grid
6
• Constraints of a curvilinear grid
• Boundary-fitted and near-orthogonal
• 20 layers (sharp vertical gradients)
• 7600x20 cells
• Cell area: from 0.1 m2 to 5 m2
7. Validation
Validation in winter period
Average air temperature during the simulation: 6.6 °C
Relatively long time simulation (7 days)
Uncertain initial conditions
Objective to reproduce
Shape of the thermal plume
Vertical temperature profiles (gradients)
Flow field
Primarily attempted to validate the turbulence model
7
16. Mixed layer depth
16
Mixed
layer
depth
0.2 °C
• Depth, where the difference
between maximum and
minimum temperatures is less
than 0.2 °C
• Describes stratification in every
point
17. Water age
17
• Modelled as a conservative
tracer
• Advection-diffusion process
• The concentration of the tracer
within the inflow is decreased
by one unit each hour
19. How to improve water quality
by hydrodynamics?
Different vertical deflector wall configurations
Passive and cheap solution
It has been proposed for similarly functioning cooling ponds
Circulation system?
19
23. Summary
The model was suitable to resolve low Reynolds number
thermodynamics in a shallow setting
Sharp gradients resolved
Through the use of water age we have revealed the zones where the
water exchange is slower
We attempted to improve the water exchange by deflector walls
however those did not influence the conditions significantly
In the near future we may consider to apply a circulation system in
the model and test its impact
23