NOISE REDUCTION TECHNIQUES AND ACTIVE NOISE CONTROL IN MECHANICAL SYSTEMS

Abstract

Noise pollution is a pervasive environmental issue that affects human health, productivity, and overall well-being. In mechanical systems, noise generation often arises from various sources such as engines, industrial machinery, and transportation systems, presenting a significant challenge for engineers and researchers. The first part of the abstract focuses on passive noise reduction techniques, which involve altering the system's design or materials to diminish noise propagation. These techniques include vibration isolation, sound-absorbing materials, and acoustic enclosures. By employing these methods, engineers can attenuate noise emissions at the source, thereby enhancing the acoustic environment and minimizing adverse effects on humans and nearby ecosystems. In contrast, the second part of the abstract delves into active noise control, a sophisticated approach that uses advanced signal processing and control systems to counteract noise in real-time. Active noise control systems sense the incoming noise, process it through adaptive algorithms, and generate anti-noise signals to cancel out the original noise. The application of active noise control in mechanical systems has shown promising results, particularly in closed environments where passive methods may be impractical. The main key components of active noise control, including error microphones, actuators, and digital controllers. It explores the challenges associated with implementing these systems, such as stability, convergence, and sensor positioning, and highlights recent advancements in adaptive control algorithms that enhance the efficiency and effectiveness of active noise control.