Modeling and experimental study of the cow skin mechanical cleaning process

First of all, the contact of the organism with the environment occurs through it. Numerous sensory receptors perceive thermal, mechanical, light and pain stimuli. In order for the skin to fully perform its functions, it must be properly cared for. When animals are kept in the right conditions and their body is sanitized, their resistance to external effects increases. It should be noted that the technology and technological equipment developed for animal husbandry are insufficiently physiologically related to them. In addition, the researchers did not consider the animal as an element of a system with high genetic and neural information, as a result of which the animal was considered as a separate engineering and biological object, and not as a whole object of research. Attempts to compensate for the incompatibility of the technical element with physiological processes by instinctive requirements and behavioral reaction of the animal were unsuccessful. The purpose of this study was to constructively and technologically substantiate the mechanical cleaning of cow skins using a mathematical model and experiment. To construct a mathematical model of the development of such a complex biotechnical system as mechanical cleaning of the cow skin surface, a systematic approach based on formal methods was chosen: informational, functional and physiological signs. Preliminary experimental studies show that the quality of skin cleaning has many process parameters: constructive (length of cleaning elements, bending, modulus of elasticity, diameter of the rod of the working part), quality indicators (skin contamination), operating parameters (vacuum price, air consumption, movement of the device, speed). Therefore, the second stage of the experimental study included the study of the experimental scheme developed on the basis of a working hypothesis. The results obtained made it possible to establish the response surface, to determine the dependence of the desired parameters on a group of factors. Analyzing this surface, it is possible to draw conclusions about the optimal values of design and operating parameters.