Analyzing the Hardness of Aluminum Alloys Using Fuzzy Logic

The ability to forecast the hardness of alloys is a key process that is both time- and cost-effective. This facilitates better planning and control of work procedures and improves material resource usage for optimal product performance. Furthermore, conventional methods are limited by a significant requirement for substantial numerical models for sophisticated, expensive simulations. However, fuzzy logic models outperform standard numerical techniques due to their capability of dealing smoothly with imprecision and uncertainty in various applications, as evidenced by recent years. Fuzzy logic methods have grown in key applications, including the forecast of material properties such as the hardness of Al-alloys. Fuzzy models use a highly constructively and robust method to handle inherent variability and uncertainty in material properties. In the study, a fuzzy model that involves Mamdani-type fuzzy inference systems is developed for predicting the influences of alloying elements and their proportion on the hardness of typical aluminum alloys. The study demonstrated the ability of this model to perform this task and showed the following results. This suggests that the suggested fuzzy inference system is used to predict the hardness of aluminum alloys effectively, manifesting practical utility of the proposed solution for materials science and engineering. The offered model produces acceptable predictions over various types and compositions of alloys; thus, presenting the ability of fuzzy logic to overcome the drawbacks of traditional numerical methods. Fuzzy models can be used in material properties' prediction, facilitating the advancements in the new industrial practices.