Harmonic gear strength check meets all the constraints of the new point gradually trending the most advantageous


Modeling of optimized designs Under the conditions of a certain gear ratio and the same load carrying capacity, the known parameters are its load, working conditions and materials of each main component. In order to find the optimal solution, the complex method in the direct solution can be used. By constructing an initial complex with k vertices, in the constrained feasible region of the n-dimensional design space, the objective functions of the vertices of the complex are compared one by one, and the worst points are continuously removed, and the target function value can be replaced. A new point that has declined and satisfies all constraints, gradually moving towards the best.
Since the composite shape is a method of directly optimizing in the feasible domain, it is required that the first composite shape must be generated in the feasible domain. This method is simple in principle and convenient to use, and can effectively deal with the optimization design problem of inequality constraints. After the expert system determines the design, the optimization program can complete the detailed design of the parameters and evaluate their solutions. At the same time, the finite element analysis program can be used to further analyze the solution to obtain a satisfactory solution. And the designer can modify the design results as needed until the design requirements are met.
The finite element analysis of the harmonic gear strength check includes the fatigue strength check of the flexible wheel and the calculation of the flexible bearing life of the wave generator. Using finite element analysis, the efficiency and accuracy of the solution can be improved while providing a basis for redesign. The system uses ANSYS software for finite element analysis, which can interface with AutoCAD software to achieve data sharing and exchange. The user can intuitively and quickly divide the grid automatically by visual graphics, generate the data needed for finite element analysis, and sort out a large number of calculation results (such as stress) into deformation maps and contour maps as required to facilitate extreme values. Search and output a list of required data, and the resulting conclusions and data are returned to the system.

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