Method for predicting hippocampus hot air drying process by utilizing Page mathematical model

Abstract

The invention relates to a method for predicting a hippocampus hot air drying process by using a Page mathematical model, which comprises the following steps: S1, randomly selecting a plurality of different hot air drying temperatures to dry hippocampus to obtain drying curves of moisture ratios and drying time at different temperatures; S2, providing a Page drying model, and performing nonlinearregression analysis on the drying curve of the moisture ratio and the drying time by using an Origin data processing tool; S3, obtaining expressions of the parameters k and n about the temperature (T)through curve fitting; and S4, substituting the parameters k and n obtained in the step S3 into a Page drying model to obtain a hippocampus drying kinetic model, and giving a change relationship of the water ratio along with the temperature T unit DEG C and the time t unit h in the hippocampus hot air drying process by the model to predict the water ratio of the dried hippocampus at different temperatures. The drying model can accurately describe and predict the hippocampus drying process, the drying process is accurately controlled, and an important basis is provided for structural design and parameter optimization of drying equipment.

Description

technical field [0001] The invention relates to the field of agricultural by-product processing, in particular to a method for predicting the hot-air drying process of hippocampus by using the Page mathematical model. Background technique [0002] Drying is a widely used processing technology with a long history and one of the important processes in the processing process. It is an important unit operation widely used in food, medicine, chemical industry, wood, agricultural and sideline products processing and other fields. In recent years, with the renewal and development of food processing technology, people's quality requirements for dry products have also gradually increased. Drying mechanism research, drying kinetics research, drying quality research, and drying quality prediction through drying models have become the main aspects of basic research on drying technology, and great progress has been made. Drying technology has also changed from a unit of product processin...

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Problems solved by technology

[0003] Seahorse is a traditional precious Chinese medicinal material, which is mostly consumed as dried products. With the development of society, consumers have higher and higher requirements for the quality of food, and also put forward higher requirements for the quality of dried hippocampus products, but Its dry processing technology is still dominated by traditional processing methods, and there are few domestic and foreign research reports on seahorse drying. The depth and breadth of research on seahorse processing technology are still not enough, making it difficult to form a large-scale and standardized production of dried products.

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