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2. IntroductionofHEPHAISTOS
tion altering of the external electric field is so high that the dipole
re-orientation fails to follow. As a consequence the friction becomes
smallerandthegeneratedheat isalso less.
External electric field E
+
-
-
+
-
+
- Dielectric material
+
- + -
+ -
+
Dipole
Figure2.2. Dipolepolarizationofdielectric.
The above interpretation was firstly formulated by the physicist Peter
Debye [Aru10], using the well-known complex permittivity equation
[GC99], suchas
ε(ω) =ε′(ω)− jε′′(ω) =ε∞+ εs−ε∞
1+jωτ , (2.2)
where ε(ω) is the complex permittivity of a dielectric as a function of
angular frequencyω = 2pif, ε′(ω) and ε′′(ω) are the real and imagi-
nary part of ε(ω) respectively. The parameter εs is the permittivity of
the material at low frequencies, ε∞ is the permittivity of the material
at very high frequencies. The relaxation time Ï„ represents the time
of form and decay of the polarization within the dielectric when the
externalelectricfield isappliedandvanishedrespectively.
Fromtheaboveequation, it canbederivedthat
ε′=ε∞+ εs−ε∞
1+(ωτ)
2 ,
ε′′= ωτ (εs−ε∞)
1+(ωτ)
2 . (2.3)
18
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Title
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Author
- Yiming Sun
- Publisher
- KIT Scientific Publishing
- Location
- Karlsruhe
- Date
- 2016
- Language
- English
- License
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Size
- 14.8 x 21.0 cm
- Pages
- 260
- Keywords
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Category
- Technik