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The results indicate the feasibility of the model to optimize drying processes of different type as well as the significance of optimizing the drying time.
The equilibrium moisture content of agricultural products is necessary to optimize drying process and helps to keep the quality of the product during the period of storage.
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Exergy analysis is a powerful tool for optimizing drying conditions, and is particularly important for large-scale high-temperature drying applications in industry.
The computer program developed in this study can be used to optimize similar drying systems.
Experimental planning, regression and multiple response analysis were used in data processing and to optimize the drying conditions.
Most food industries perceive the significance of microscopy-based approaches to optimize existing drying processes to improve and control characteristics in dried food products.
To optimize the drying method, atomic force microscopy (AFM) was used to analyze surface topography.
Thermal efficiency is a parameter commonly used to optimize the drying process since it is linked with the energy consumption.
Optimizing the drying of seed kernels would then enable to make sure that the product obtained has desired quality.
The power factor reached ∼1 μW/m-K2 after optimizing the drying and annealing temperature, which is 5 1000 times larger than those of other doped PANI without stretching.
It is also very useful tool in optimizing the drying parameters to enhance the performance of greenhouse drying systems under various modes of operation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com