Improving Evaluation Of Shocked Loads In Mechanical Systems Using Fuzzy Based Ultracapacitor (KEY IJP************226)

• Udeh Ubasinachi Osmond, Akowundu Emmanuel, Chukwuagu M. Ifreanyi

Abstract

Mechanical systems frequently experience shocked loads due to sudden impacts, vibrations, and transient disturbances, which can lead to structural damage, reduced efficiency, and increased maintenance costs. Traditional shock load evaluation methods rely on passive damping mechanisms that lack adaptability to real-time operational variations. This study explores the integration of fuzzy logic-based control with ultracapacitors as a novel approach to improving the evaluation and mitigation of shocked loads in mechanical systems. The fuzzy-based ultracapacitor system leverages the high power density and rapid energy storage capabilities of ultracapacitors, combined with the intelligent decision-making of fuzzy logic, to enhance shock absorption and energy distribution. This adaptive framework enables real-time assessment of dynamic loads, reducing mechanical stress and improving overall system stability. The proposed method is particularly relevant for industries such as manufacturing, transportation, and defense, where machinery is frequently exposed to high-impact forces. The findings indicate that implementing fuzzy-based ultracapacitor technology enhances mechanical system resilience, minimizes wear and tear, and optimizes energy efficiency. This research contributes to the development of intelligent mechanical system design, offering a robust solution for improving shock load evaluation in high-impact environments. Future studies should focus on refining fuzzy algorithms and exploring advanced ultracapacitor materials to further enhance system performance. The conventional Inefficient Energy Absorption Mechanisms that causes poor evaluation of shocked loads in mechanical system was 10%. On the other hand, when Fuzzy-based ultra capacitor s was imbibed into the system, it instantly reduced it to 8.7%. Finally, with these results obtained, the percentage improvement in the evaluation of shocked loads in mechanical systems became 1.3%.