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The Non-linear Optimization And Software Design Of Converter Tilting Device's Transmission

Posted on:2007-08-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y L HuangFull Text:PDF
GTID:2121360185474784Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Full suspended four-point meshed tilting device has been widely used in tilting converter, which runs intermittently in low speed under huge loads, usually starts and stops at a low speed. The power of the transmission is distributed in a way that the last driven gear is driven by the small gears around. Up to now, just the linear variables or a part of the non-linear variables have been taken into consideration when the reducer is optimized. This thesis provided a general optimization analysis of the transmission in four-point meshed tilting device, considering both linear and non-linear variables based on the real work process.At the beginning of this thesis, the loads curve of tilting converter had been analyzed, the moment characteristics were confirmed, then the ratios'range was assigned reasonably and the system's optimization model was set up. In order to get the optimized result, the genetic algorithms were applied in this thesis up to the complex structure and various design parameters of tilting device. Also the penalty functions were taken in to solve the restrictions which could not be handled by only genetic algorithms.For the sake of correct evaluation and modification, the strengths of conjugated gears were checked by GB and Finite Element Method, by which the contact stress and bending stress could be analyzed quantificationally. In addition, the process of FEM was parameterized depending on the ANSYS Parameter Design Language.Finally, the optimizing software of converter tilting device was compiled based on VC++ 6.0 and windows 2000, combined with ANSYS with seamless connection. In general, the thesis presented a reasonable direction to design the transmission, proved the feasibility of solving problems with multi-variables and found another new way to optimize the complicated mechanical structures.
Keywords/Search Tags:Genetic Algorithm, penalty function, converter, optimization, FEM
PDF Full Text Request
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