Investigation Of Technological Properties Of Powder Of Eggplants

The aim of the article is to study and to generalize technological properties of eggplant powder, produced by infrared drying at temperatures 50-60 ºС. The results of the conducted complex of studies reflect main technological and consumption properties of the received puree that plays an important role at creating new culinary products.So, for studying technological properties of food eggplant powder, there was considered the complex of base functional-technological properties of powder, produced by infrared drying.For finding optimal conditions of rehydration of eggplant powders, there was studied the influence of such technological factors as: swelling ability; liquid; powder ratio; influence of the solvent temperature on renovation; renovation duration; degree of comminution of powders.Main parameters that influence the renovation ability of dried eggplants are investigated and studied in the article. The results of the studies of technological properties of eggplant powders prove their high rehydration properties. It gives a possibility to use powders at producing different culinary products not only for enriching them with functional ingredients, but also for giving them new technological properties.Based on the obtained results, there was elaborated and presented the new technological scheme of using renewed powders in food compositions

Features of Modeling Failures of Recoverable Complex Technical Objects with a Hierarchical Constructive Structure

We developed a methodology and algorithms of forming the optimal sets of elements, which take part in the failure-recovery modeling process of complex technical objects. The methodology is based on the hierarchical constructive structure of the object, takes into account the redundancy of failing elements, as well as the maintainability of the product elements and their cost, which distinguishes this methodology from the known ones. Structurally, the methodology is implemented as a set of three algorithms. The generated optimal sets of elements are used to calculate the predictive reliability characteristics and operating costs of the object. The constructive structure of the object in the model is represented by a graph (tree). The optimality of the sets is understood in the sense of their correspondence to the object maintainability parameters.With the improvement of maintainability properties, the forecasted values of the mean time between failures and the recovery time are correspondingly improved. Improvement of the operating cost index is not mandatory; provided different input data, there may not be such an improvement. Each variant of the values of object maintainability parameters is conformed to its optimal sets of failing and recoverable elements, under which adequate predictive estimates of reliability indicators and the object operating cost are provided.The paper provides some examples of modeling, which demonstrate how the optimal sets of failing and recoverable elements are determined, and how the predictive estimates of reliability and object operating cost depend on the choice of these set