Research on Structural Optimization Platform of Vehicle Muffler based on Visual Endoscopic Image Recognition and CFD Engineering

This paper is based on the scheme of visual endoscopic image processing system. It includes the software function design in the system, the preprocessing of the exhaust muffler and the realization of the synchronous display of dual-channel image data, and the FLUENT software is used to simulate the flow field of the exhaust muffler of the CFD engineering vehicle, and analyze its internal pressure, airflow velocity and For the distribution of turbulent kinetic energy, set different airflow velocity in FLUENT and set the corresponding airflow mass velocity in the pressure loss calculation platform built by GT-Power. Finally, the flow field and sound field of the original exhaust muffler at 5600r/min were simulated and analyzed by Fluent software, and the pressure cloud map, velocity distribution map, noise cloud map and turbulent kinetic energy map inside the main and auxiliary mufflers were obtained.