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The input parameters of the neural network (NN) model are alloy composition, heating rate of the heating processes, and processing parameters of the alloys.
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The aluminum foil avoids the influence of the surrounding radiation on the heating process.
Figure 6 Temperature dependence of the LO modes and the reversibility of the heating process.
Modeling of the heating process minimizes the experimental costs and provides process optimization.
This will significantly impact the ability of the system to thermalize energy added by heating on the timescales of the heating process itself.
(b) The reversibility of the heating process is verified using the 514.5 nm line of an Ar+ laser with a power measured at the sample of 50 μW.
The result of the heating process is suggested to be a 3-D C60 polymer with a rodlike shape.
As it had been previously stated that the biomass, which had a high amount of volatiles, would be degraded as a result of the heating process.
Above this, temperature NC2 and NC3 are more stable than PS up to the end of the heating process (Fig. 4, curves 1 3).
Since the process is involved with high temperature and small size of the irradiated spot, experimentation of the heating process is difficult and expensive.
It is concluded that consideration of the heating process is necessary in the modeling of liquefaction when using reactors which cannot achieve fast heating.
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