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This article presents the properties of a Ti coating (angle of grain growth, thickness of the deposited layer, adhesion, and roughness of the deposited layer) deposited on the inner surface of a steel tube. The Ti coating was deposited using the EB PVD (electron beam physical vapor deposition) method. The areas in which the measurements were carried out are defined by the height of the measured area under the target (from 305 to 425 mm) and the radius of the tube (from 100 to 140 mm). The measurements showed that the angle of grain growth is in an interval from 40 to 61°. The results of the statistical analysis demonstrate that the height of the measured area and the tube radius significantly impact the angle of grain growth and adhesion. On the other hand, the impact of the height of the measured area and the tube radius on the roughness of the applied coating was not confirmed. [ABSTRACT FROM AUTHOR]

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• Experimental investigation into the damage to rubber-textile conveyor belts, type P2500/4 (new and renovated); • Identification of the conveyor belt damage degree; • Creation of classification models and a comparison of their quality and accuracy. This article presents the results of experimental research on belt conveyance systems. The main objective was to identify the correlations between the occurrence of significant damage in rubber-textile conveyor belts and the selected parameters (the type of falling material and the impact height). The conveyor belt specimens used in the experimental research were extracted from both a new and a renovated conveyor belt. Within the experimental research, four classification models were created, while the conveyor belt specimens used in the predefined experimental conditions were classified by assigning them to one of the two determined degrees of damage (significant or insignificant damage). The classification models were created by applying several machine learning methods, such as a regression analysis, logistic regression, decision trees, and the Naïve Bayes classifier. The quality of the models was verified using the training and testing groups and three coefficients (overall accuracy, Kappa coefficient and AUC). An analysis of the results indicated that the type of falling material and the impact height had significant effects on the degree of conveyor belt damage, regardless of the conveyor belt type (new or renovated). An evaluation of the models indicated that all the designed classification models provided similar results. As for the quality coefficients, the classification models that were created by applying the decision tree and the Naïve Bayes classifier exhibited the best classification and prediction abilities. [ABSTRACT FROM AUTHOR]

Highlights: [•] Mutual comparison results of shock force determined by experimental research and regression analysis. [•] Recalculation the sizes of the shock or tension force by interpolation. [•] Determination of the boundary value of the impact energy. [•] Failure analysis of inner structure – carcass and cover layers of conveyor belt. [Copyright &y& Elsevier]