The Optimization Of The Mounting System Of The Power Train In A TY-1Engineering Dump Truck

With the rapid development of the national economy, the infrastructureservice is more consummate than before. The dump trucks are used widelyduring the process, making a great contribution to the national infrastructureconstruction. At present, the choice of the mounting system of the power train inthe engineering truck basically depends on the experience of the engineers. Theneglect of the natural frequency of the power train and the frame often results inthe invalidity of the mounts, which needs frequent maintenance.The driving comfort of the dump truck is more and more important forconsumers. Since the power train plays an important role in NVH of the truck,the performance of the mounting system cannot be ignored. In order to improvethe performance of the mounting system in the TY-1dump truck, especially thematching of the constrained frequency of the frame and the mounting system.There are some differences between the free mode and the constrained mode, soit is unreasonable to match the mounting system with the free mode of the frame.In this paper, the stochastic-subspace identification which is programmed inMATLAB is used to identify the constrained mode of the frame, which isadvantageous to the optimization of the mounting system. A six degree of freedom model of the mounting system of the power trainwas established in MATLAB, which can be used to calculate the naturalfrequency and mode decoupling rate of the mounting system. The performanceof the mounting system gets a peak by changing the stiffness of6mounts toadjust the natural frequency and the mode decoupling rate while thedisplacement of the centroid of the power train is limited to the threshold value.The vibration transmitted from the power train to the frame decreases by6.9%after the optimization.A dynamic model containing the mounting system, the frame, thesuspension is established in the software called LMS Virtual.Lab Motion. Thedependability of the dynamic model is appraised by comparing the simulationdata and the experimental data. The displacement of the centroid of the powertrain is calculated in the dynamic model, which should be in the range of thethreshold value. The optimization makes the performance of the mountingsystem better according to the simulation of the dynamic model.The main viewpoint of this thesis is to match the natural frequency of themounting system and the constrained frequency of the frame. SSI-COV is usedto identify the constrained mode of the frame so that it can be used to improvethe performance of the mounting system. The main opinion about the use ofconstrained mode has considerably practical significance.