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The 2DOF dynamic equations of the double railway suspended vehicle for automatic transportation in the welding shop are established. The sensitivities are analyzed. The parameter design is researched in ADAMS in terms of the inner railway radius, wheelbase, gauge, girder length of the double railway suspended vehicle for automatic transportation in the welding product line. The mutual-restriction among the design variables is discussed and the selective ranges of the variables are confirmed. The result shows that the stability of the double railway suspended vehicle for automatic transportation in the welding product line depends on parameters of the inner railway radius, wheelbase, gauge, girder length. The optimal results of the optimal objective and design variables have research significance for the virtual prototype of the double suspension railway automation vehicle. The optimal results are input into the simulation model iteratively and the simulation results are fed back to the physical prototype. The veracity and reliability of performance forecast are improved so that the manufacture cost of the double suspension railway automation vehicle is reduced significantly.
The 2DOF dynamic equations of the double railway suspended vehicle for automatic transportation in the welding shop are established. The sensitivities are analyzed. The parameter design is researched in ADAMS in terms of the inner railway radius, wheelbase, gauge, girder length of the double railway The mutual-restriction among the design variables is discussed and the selective ranges of the variables are confirmed. The result shows that the stability of the double railway suspended vehicle for automatic transportation in the welding product line depends on parameters of the inner railway radius, wheelbase, gauge, girder length. The optimal results of the optimal objective and design variables have research significance for the virtual prototype of the double suspension railway automation vehicle. The optimal results are input into the simulation model iteratively and the simulation results are fed back to the The prototype prototype. The veracity and reliability of performance forecast are improving so that the manufacture cost of the double suspension railway automation vehicle is reduced significantly.