ABSTRACT
The characteristics of the industries of the future (IOFs) are documented in detail in the technology road maps. The selection of the most important materials for wear-and other competing failure-resistant needs of industries will be dealt with in this chapter. The already developed multivariate regression model will be used to show the relative importance of each crosscutting solution to the problems of individual industries. The multivariate regression model is used to predict the optimum quality-reliability characteristics of components and processes in areas that have the biggest impact on energy savings and waste reduction. Areas such as corrosion, wear, and high-temperature materials, hard alloy materials, and modeling/database development are emphasized in this book. The data of this regression model are used as the initial data for the implementation of technological inheritance (TI) models as well as desired baseline requirements for suitable selections and the design of a quality-reliability selection decision diagram as shown in Figure 6.1, which is used to select, test, analyze, monitor, and maintain systems of wear-, corrosion-, and high-temperature-resistant applications at minimum cost with TI models. Finally, this book also reveals the integrated reliability condition monitoring and maintenance (IRCMM) mechanism of hard alloy-coated materials or part surfaces with the help of TI models.
