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1. Introduction
space and many other weight-critical applications. According to the
report in [Qui01], nearly half of the Boeing 787 airplane is comprised
of CFRP and other composites, which saves on average 20% of the
total weight compared with conventional aluminium designs. Based
on themarket report publishedin 2012 [Cas12], theglobal CFRP mar-
ket size is forecast to have an annual growth rate of 17%, reaching
118,600tonneswithanestimatedvalueof7.3billionUSdollars (USD)
by2017.
There is no doubt that CFRP will become one of the most important
and demanding materials in the near future. However, there are also
challenges from different aspects, such as high costs and manufactur-
ing complexities. For most industrial areas, cost reduction is a key
priority that has to be concerned during the manufacture process. Al-
though the price of carbon fiber material has been decreasing during
the last few years (about 20 USD per kg in 2014 [cfr]), curing of one
CFRP workpiece is still expensive. The most common way to cure a
CFRP workpiece is to layer the uncured prepreg into a mould, put
a vacuum bag to the mould and cure it in an autoclave. The curing
process within the autoclave takes a long time and the corresponding
energy consumption is large, which leads to the increase of the total
cost. Besides the autoclave curing, there are a number of other cur-
ingmethods. Theirmainadvantagesanddrawbacksareshowninthe
followingtable 1.1.
Comparedwithothercuringmethodsintable 1.1,microwaveheating
hasahigherheating efficiencyandlowercuringcost. Inaddition,mi-
crowave heating also has a large penetration depth, which means the
heat can be directly generated deeply inside the CFRP workpiece and
rapidcuring ispossible for thickcompositematerials. However, there
are still a number of problems that limit the implementation of mi-
crowaveheatinginthepracticalCFRPcuringprocess,suchasthermal
insulation, temperature measurement, and most important, tempera-
turecontrolproblems.
Duringtheheatingprocess, thetemperatureoftheentireheatedwork-
pieceshouldbecontrolledandheldinapredefinedrange. Inaddition,
the overall temperature homogeneity of the workpiece should also be
sustained in a certain level, to avoid any local overheating (hot spots)
[RMS96] or thermal runaway [Kri92]. According to investigations in
4
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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