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The Collaborative Optimization Of The SF35100-type Mining Dump Truck Handling Stability And Ride Comfort

Posted on:2013-07-26Degree:MasterType:Thesis
Country:ChinaCandidate:S S LiuFull Text:PDF
GTID:2231330395485259Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Handling stability and ride comfort as the two main performance of the vehicle, not only affect the manipulation of stability, security and passengers comfort, but also affects the dynamical and economical performance of vehicle, working life of auto parts indirectly.The mining dump trucks often work in complex and poor conditions, so the two main performances of the mining dump trucks is especially important and the Collaborative Optimization (CO) of them has great significance. Collaborative Optimization is a two-level system optimization method, which has developed over the last decade. It has successfully developed and exclusively applied to the aeronautics and space industry, but the application of CO to the complicated mechanical system just gets started. In this paper, the optimum design of the mining electric wheel dump truck (SF35100) is been taken as an engineering example, the coupling relationships between Handling stability and ride comfort are taken in account, so it avoid the disadvantage of optimization which only takes one performance into account. It has important theory and engineering significance.First of all, the collaborative optimization (CO) method and the theory of multi-body dynamics which is used to establish dynamics model were introduced briefly. Secondly, the virtual prototype of mining dump truck was established in the ADAMS software, and then the simulations on the handling stability and ride comfort were carried through. Finally, took the characteristics and structural parameters of the pneumatic suspension as the optimization variables; the response surface methodology was applied into the collaborative optimization of the mining dump truck’s handling stability and ride comfort to achieve the purpose of optimization. Main contents of this paper are as follows:1. The collaborative optimization theory was studied, and then the mathematical modeling of the vehicle dynamics system and the way of obtaining the simulation model parameters were analyzed. Hydro-pneumatic suspension system, steering system, tires, road and other subsystems were established, and impose the corresponding deputy campaign which to join the force and torque, the virtual prototype of mining dump truck was established.2. According to the national standards and ISO standards, the objective evaluation method and total points formula of dump truck handling stability and ride comfort were established, steady state rotation test, steering return test and pylon course test which can evaluate handling and stability random input test and pulse test which can evaluate ride comfort were carried on. The values of dump truck performance evaluation index and total scores were acquired, which can evaluate the performance of dump truck.3. The mining dump truck mathematical model of CO was established, with the characteristics and structural parameters of the suspension being design variables, and the evaluation index being response objectives, the sensitivity of the suspension parameters was analyzed, these were six design variables ascertained by finding out the main parameters which affected the dump truck performance mostly.4. The secondary general rotation design was selected to optimize the design of the experiment; dump truck response surface model-based collaborative optimization was obtained by calculating the regression coefficient. The response surface model was accurate through the test of significance.5. The optimal solution was obtained using MATLAB optimization tool, after optimization, the contrast analysis between handling stability performance and ride comfort performance before and after was made.
Keywords/Search Tags:Mining dump truck, Hydro-pneumatic suspension, Handling stability, Ride comfort, Collaborative optimization, Response surface methodology
PDF Full Text Request
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