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5.3. ResultsofDifferentControlMethods
lar, which lead to the same level of heat dissipation rates at different
parts of the workpiece. Therefore the hot spots in the central part of
theworkpiecewouldbeeliminated,whichhasbeenconfirmedbythe
experimental results suchasshowninfigure 5.19.
(a) t=5min. (b) t=10min.
(c) t=15min. (d) t=20min.
Figure5.19. Heatingprocess ( from(a) to (d) )with thesetupof teflonplate.
Although the hot spots are removed, there is another problem oc-
curred due to the heat dissipation from the teflon plate to the metal
table. When the workpiece is heated to a high temperature, the tem-
peratureof theteflonplate isalsohigh,whichcausesdeformationson
the edges (see figures 5.20). For the central part of the plate, it has di-
rectcontactwiththemetal tableandtheheatdissipationrate fromthe
157
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book Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"
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