Dynamic Simulation Of Internal Combustion Level For Moving Air Compressor

The internal combustion air compressor(hereinafter “compressor”) is a new developed device which can transfer heat energy into gas pressure energy. The longitudinal size of existing compressors is much greater, and the scope of application of which is much more limited. To solve these problems, we design a compressor with a lower center of gravity and compare the dynamics characteristics with former ones. The result of analysis is significant for optimal design of internal combustion air compressor in the future.This article is based on the relative parameters in crankshaft system of 178 F diesel engine, choosing 3 kinds of typical work conditions(the speed of each is respectively1500 rpm, 2000 rpm, and 2400rpm), combining multi-body kinematics and finite element technology, respectively studying the dynamic performance through the simulation for dynamics in multi-rigid and multi-soft conditions in both compressors, analyzing the durability of crankshaft with the curve of load on it.We build the 3D models of both plans of compressors with SolidWorks and the rigid body model of both plans in ADAMS, setting corresponding restrictions and define new materials and drives. We finish the simulation study of dynamics in the rigid-body model,analyzing the coefficient of crankshaft, the velocity and acceleration of the piston and the stress on the connecting rod. We conduct the mode analysis of crankshaft with ANSYS, and then obtain the frequency and modes in the first ten order of vibration of crankshafts in two plans. With the software Hyper Mesh, we make the flexible treatment for the crankshaft,build the dynamics model of rigid-flexible model, and conduct multi-flexible dynamics simulation of the crank and connecting rod mechanism. We set the speed of crankshaft as2400 rpm, getting the curve of load on the compressor, analyzing the fatigue trend of the crankshaft in the software nSoft, obtaining 10 most vulnerable nodes on the crankshaft, and predict the longevity of the most stressful one.