Intake and Exhaust System Optimization of a Single Cylinder Engine Using 1D Simulation Approach 2024-26-0212

Reducing vehicular noise has become a crucial step in product development to meet stringent legislation and improve passenger experience. Smaller vehicles like three-wheelers and compact cars are often powered by a single cylinder engine due to product cost, packaging and weight constraints. Unlike a multi-cylinder engine where cylinders fire one after another which helps to reduce noise levels by destructive interference of pressure waves, a single cylinder engine produces higher noise levels due to firing of a single cylinder. Intake and exhaust flow noise is one of the dominant sources of vehicular noise. This study focuses on using CAE tools to reduce intake and exhaust flow noise levels to meet target noise requirements. One dimensional (1-D) gas dynamics simulation provides a good trade-off between accuracy and run-time, allowing for evaluation of multiple design iterations with acceptable accuracy in a relatively short time frame. A system level optimization was performed on the intake and exhaust systems, requiring a larger number of design of experiments (DoE) to be performed, thus making 1-D simulation the preferred approach for this study. A compact car engine which was unable to meet the target noise levels was selected. A 1-D gas dynamics model was built and calibrated using test data. The calibrated model was used for intake system optimization by running DoE to evaluate the optimal air-filter and resonator parameters. Further optimization was performed on the exhaust system to determine the optimal muffler configuration. Multiple muffler designs were evaluated to optimize parameters such as pre and post muffler duct layout, muffler volume, baffle location, perforations and noise absorptive material placement. With the optimized intake and exhaust system recommendations about 17 dB(A) noise reduction was achieved on the exhaust side and about 7 dB(A) noise reduction was achieved on the intake side while meeting other performance targets.