#Flux networks ftb software

The knowledge of thawing time is essential for the optimization of existing processes but also for the development of new products and new types of equipment. In general, the deep frozen produces are thawed and later processed into a large array of products ready for consumption. In the modern industrial practice food produce are frozen to stabilize the original quality, and also in case of excessive supply or when they have to be shipped over long distances. The review reveals the need for further improvement of the existing solutions or development of new ones that will enable accurate determination of thawing time within a wide range of practical conditions of heat transfer during processing.Ī growing and wide range of foodstuffs is frozen in order to be further processed or used after thawing. Consequently, simplified methods are needed for thawing time estimation of agricultural and food products. It is demonstrated that there is no simple, accurate and feasible analytical method for thawing time prediction.

For these reasons, the application of analytical-empirical models is more useful for engineering.

#Flux networks ftb software

Using the numerical methods is not always possible as running calculations takes time, whereas the specialized software and equipment are not always cheap. The graphical and semi-graphical models are derived from numerical methods. The conditions of solution, limitations and possible applications of the models are discussed. In this paper analytical, empirical and graphical models are presented and critically reviewed.

The proposed solutions range from relatively simple analytical equations based on a number of assumptions to a group of empirical approaches that sometimes require complex calculations. A number of calculation models and solutions have been developed. Determining thawing times of frozen foods is a challenging problem as the thermophysical properties of the product change during thawing.