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Dynamic Characteristics Simulation And Geometry Size Optimization For Working Mechanism Of Side-discharge Loader

Posted on:2015-10-12Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2311330482982972Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Because traditional optimization design methods can not acquire a sound kinematics and dynamic characteristic in application, thus not meeting the design requirements for a working mechanism of mining side-discharge bucket loader, a kinematics and dynamic characteristics simulation and optimization design approach based on virtual prototype for the mechanism were proposed in the paper. According to design requirements of the mechanism of mining side-discharge bucket loader, this method can obtain the path curve, velocity curve, acceleration curve, angular velocity curve, angular acceleration curve and force curve for each hinged point of working mechanism, and the automate-level performance, lift translation performance and transfer force performance for cylinder of a working mechanism through establishing a three-dimensional simulation model and mathematics model, and simulating kinematics and dynamic characteristics of the mechanism with ADAMS software, then the working mechanism was optimized by means of genetic algorithm, and kinematics and dynamic characteristics of the optimized mechanism were simulated. The results studied a certain type of domestic mining side-discharge bucket loader show that the optimized automate-level performance of the bucket can be increased by 79.1%, the lift translation performance of the mechanism can be increased by 79.4%, the transfer force performance of hoist cylinder can be increased by 16.4%, the transfer force performance of bucket cylinder can be increased by 8.0%, the kinematics and dynamic characteristics for working mechanism of mining side-discharge bucket loader is improved obviously.
Keywords/Search Tags:mining side-discharge bucket loader, working mechanism, dynamic characteristics, simulation, genetic algorithm, optimization design
PDF Full Text Request
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