Diesel engine(DE) is the most thermally efficient and least polluting thermal machinery at present, and it has greater advantages in economy and environmental protection. However, the DE is too noisy in the process of use, which brings great harm to human health and the surrounding environment. With the progress of human society, people are not only limited to meet the requirements of practicality, but also have higher and higher requirements for comfort and noise control, so the reduction of DE noise has become a key concern of various countries. In this paper, we develop the study of DE exhaust noise(EN), design the DE exhaust system and active muffler device, use the muffler to reduce the EN of oil recovery engine, then use Widrow-Hoff LMS algorithm to train GT-Power simulation software and conduct the simulation experiment of exhaust system with muffler to find the feasible noise reduction by comparing the size of aerodynamic noise under the improved scheme and the original scheme. The simulation results of this paper show that From the simulation results of this paper, it is obtained that Option 2 is the best noise reduction solution, i.e., adding muffler cotton at the rear end of the exhaust system and enlarging the tail pipe diameter.

Amar Velmurugan. Active Control of Diesel Engine Exhaust Noise Incorporating Widrow-hoff LMS Algorithm. Kinetic Mechanical Engineering (2022), Vol. 3, Issue 3: 70-77. https://doi.org/10.38007/KME.2022.030309.

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