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The model can be used for design, optimization and control of drying processes for various applications.
Desorption isotherms at different operating temperatures provide valuable information for the design and control of drying processes.
Optimal quality control of drying process of baker's yeast in large scale batch fluidized bed dryer is presented using neural network based models and modified genetic algorithm (GA).
Therefore, there is a need to design a state observer to estimate the moisture content on-line for the purpose of direct control of drying product quality.
Basically, the acoustic emission (AE) technique is shown as the effective tool for monitoring these effects and their control, in particular, for monitoring the stress development and control of drying processes towards their optimization with respect to drying time and product quality.
As a result, an intelligent system is required for accurate automatic control of drying units, based on the specific process and product parameters.
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In the case of the active dryers, adding fans and temperature and flow controllers has permitted the control of the drying conditions.
The ceramic body is then slowly dried in an atmosphere containing the fumes of the solvent, in order to control the rate of drying and even the amount of deposition of the consolidant within the ceramic body.
Surveys have recently been conducted throughout the species' range and proposed conservation measures include the control of dry season burning.
Most treatment algorithms recommend regular use of emollients for control of dry skin with short-term TCS for treatment of AD flares.
The analytical random error of clinical chemistry exceeds the weight tolerance of production; therefore, such analytics cannot be used for precision production and control of dry salt containers.
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