Novel representation of complexity of investment casting using injective coloring and graph adaptive consensus mechanism.

ABSTRACT: The complexity of industrial investment casting is determined by three factors related to geometry, desired features, and manufacturability that are further driven by 19 elements, 52 attributes, and 212 meta-attributes. The complexity of the investment casting process is calculated using one of the important multi-criteria decision-making methods, such as the analytical hierarchy process. The complexity helps to make decisions about producing industrial casting using investment casting, the impact of any individual parameter, as well as the dependency of individual parameters on the overall process. However, representing complexity for easy understanding is challenging. The researchers explored various approaches, but graph theory in injective coloring remains unexplored in published liter

SUBMITTER: Mobarsa D 

PROVIDER: S-EPMC12675624 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature