Network forquality of cathodic protection around the structures of ships and floating facilities from a Megestrol-d5 web linear meis determined primarily based of hull amount of chromium. Because the authors identified,corrosionneural chanical really should be employed for low-alloy of preventing the spread of local damages on network damages with the possibility steels with chromium content decrease than 5 . the basisForan precise a chromiumthe protective possible, taking into account the juvenile of steels with collection of content material of 55 , it was located that a radial basis neural surface. using a minimum quantity of neurons need to be applied. network The AQX-016A custom synthesis system prompts the user for the salinity of seawater and also the it was found carFor high-alloyed steels with chromium content higher than 15 , percentage ofthat a bon and alloying elements in network needs to be applied. generalized regression neuralthe steel. Subsequent, the type of neural network for prediction is determined based on the volume of chromium. Because the authors identified, a linear neural As a result of running the program, the user obtains the value of protective possible network really should be employed for low-alloy steelscan be installed content decrease to be5 . for any provided steel. The developed system with chromium in the facility than protected with For steels using a particular operating situations it was identified that a radial basis neural modification for chromium content material of 55 , (e.g., seawater salinity, steel category of network using a and equipped withof user-friendly interface (in terms of, e.g., the language hull structures) minimum quantity a neurons needs to be applied. For high-alloyed steels with chromium content material onboard the ship). as well as the compliance with the operating system made use of higher than 15 , it was found that a generalized regression neural network need to be utilized. A methodology was developed to predict the parameters of protection of hull structuresAs a result of running the system, the user obtains themechanical harm based on of ships and floating facilities against nearby corrosion worth of protective potential for application of neural network technologies, installed in the facility to become protected the a provided steel. The created program can be which enables the determination of theInventions 2021, 6,16 ofjuvenile surface prospective for all steels, such as those below development, with no the need to have to conduct time-consuming laboratory experiments. four. Discussion The recommended protection process allows monitoring reference parameters and controlling protective possible by setting the worth for the protection of hull structures against basic corrosion or comprehensively, i.e., taking into account regional corrosion strain damages. Therefore, stabilization of cathodic polarization is accomplished by shifting the potential towards the unfavorable path till the double electric layer around the juvenile surface disappears, and the achieved potential’s value is also maintained. In that condition of the metal, the governing issue is a distinct adsorption that should not provoke corrosion, fatigue, cracking, or the occurrence of your Rebinder effect. In that procedure, electrostatic adsorption (of chlorine anions) doesn’t take place, which contributes towards the longevity of hull structures of ships and floating facilities. More valuable effects of employing cathodic protection by impressed current at the uncharged surface possible on the juvenile surface of steel, positively influencing the durability of hull structures of ships and floating facili.
