| The bucket-wheel reclaimer-stacker is now widely used in the bulk storage yardof large dock of domains, iron and steel metallurgy and power station and so on. Inorder to adapt to the demands of the market, it is necessary to have a rapid design ofseries products. In this paper, progress has been made on the research aboutparameterized analysis and design technology based on slewing platform.In this paper, a parametric design method based on top-down theory is proposed.3D model can be rapidly updated by changing the parameters in the predefineddatabase. And based on that method, a parameterized3D model of slewing platform inInventor is built and the parameterized model is further employed for structuraldesign.The parameterized CAE model of slewing platform is built using APDL based onANSYS environment. And static analyses under typical load-conditions are carriedout to obtain the stress of the structure and the displacement. And size optimization iscarried out to implement the lightweight design in the satisfaction of rigidity andintensity condition, based on the results above. Compared to the outputs of ANSYSoptimization algorithm, a new Adaptive Genetic Algorithm (AGA) is suggested,which presents a proper combination of advanced intelligent algorithm and practicalengineering problem. It is realized that AGA has the advantage of faster convergenceand higher accuracy than the standard Genetic Algorithm (GA) and other optimizationalgorithms provided by ANSYS.After that, modal analysis and reliability analysis are implemented to verify thequalification of the method in optimizations of slewing platform.Finally, for the convenience of operation and management, a software platformof parameterized design for slewing platform is developed, by using the aboveresearch methods in Visual Basic. The system encapsulates all the above procedures.And the users can accomplish parameterized design of slewing platform from CADphase and optimization phase by simple and standard operations on the interface. |
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