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The priority direction of ensuring the combat capability of the Armed Forces of Ukraine is to reduce the visibility of military equipment during its movement or movement to protect against air strikes. Stealth technologies are rapidly being developed to counter laser targeting devices, which include a complex of means of reducing the visibility of air defense systems and infrastructure objects in the radar, infrared and other areas of the spectrum by using materials and coatings that strongly absorb electromagnetic radiation. radiation and significantly reduce its reflection, making the target inconspicuous for laser targeting. A composite coating has been developed to enhance the protection of military equipment from the action of high-precision weapons. By optimizing the composition of coatings, used mathematical modeling methods, which made it possible to obtain a mathematical description of the processes of forming composite coatings in the optimal range of concentration of components. By conducting experiments and determining the physico-chemical properties of the coatings, the following parameters were selected as the main parameters that determine the quality of the protective coating (with high absorption and anti-reflective capacity): microhardness -and water absorption of the coating. Mathematical models were developed to analyze the influence of other factors on the exploitation properties of coatings and improve their protection properties. Regression equations that adequately describe the influence of individual factors on the microhardness and water absorption of composites have been obtained. The canonical equations of the coating formation process were calculated, the response surface was graphically constructed on this basis, and the effect of the concentration of magnetite and polyaniline on the properties of the coatings was analyzed. It is established that the response surfaces correspond to the mini-max type. The resulting mathematical models were used to analyze the influence of individual factors on the performance of coating properties and optimal process management.
Filipsonov et al. (Fri,) studied this question.