Recent Papers

Fluctuating stresses in mechanical systems pose significant challenges, often leading to fatigue failure, reduced efficiency, and compromised reliability. Traditional methods for analyzing and mitigating these stresses are limited by their inability to handle uncertainties and adapt to dynamic conditions. This study introduces a Fuzzy Logic-based system to reduce the application of fluctuating stresses in mechanical systems, providing a robust and adaptive framework for stress analysis and management. The proposed fuzzy-based system models the complex relationships between stress parameters, material properties, and environmental factors, enabling precise predictions and effective mitigation strategies. Results demonstrate that the system reduces stress fluctuations by up to 25%, enhances system reliability by 30%, and improves overall performance under dynamic conditions. The fuzzy logic approach effectively handles uncertainties and provides real-time adaptability, making it superior to conventional methods. This research highlights the transformative potential of intelligent systems in addressing challenges associated with fluctuating stresses. By reducing stress-induced failures and optimizing mechanical system performance, the fuzzy-based approach offers a practical solution for improving the design and operation of modern engineering systems. The findings pave the way for further exploration of intelligent techniques in mechanical stress analysis and mitigation.

Copyright © 2025 Udeh Ubasinachi Osmond, Abiloro Divine, Chukwuagu M. Ifeanyi. This is an open access article distributed under the Creative Commons Attribution License.