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Fish wastage and market prices highly depend on accurate and reliable predictions of product shelf life and quality.
As a result, the TZM is shown to provide improved predictions of product breakthrough, including elution behavior from a bacterial lysate feed.
The model was solved using a commercial simulation package to give predictions of product temperature, mechanical dissipation and heat transfer rate.
The prediction results illustrate that the proposed model could provide accurate predictions of product and temperature distributions, which indicates that the proposed modeling approach could be greatly helpful for assisting in real-time optimization and control of CCR reforming process.
Model predictions of product moisture concentration based on laboratory-measured partition coefficient, diffusivity, and efficiency factor were found to closely match data from a commercial cross-flow HDPE powder dryer.
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A reliability design method is proposed based on prediction of product behaviour deterioration and its influence on product functional failure.
A 'good' drying model is important for the design of dryer, evaluation of dryer performance and prediction of product quality.
This representation is then integrated into a neural network to form a model for prediction of product overall ratings.
Any model must take account of the major sources of variation in a realistic manner if accurate prediction of product conditions is to be achieved.
In view of nonavailability of on-line hardware sensors, software-based sensors have been developed for prediction of product properties on-line.
Aspects of the development of a model for prediction of product size distributions from fluidized bed granulation by agglomeration are described.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com