Analysis of annealing process in cutting machine tools

For the optimization method of single objective function in cutting machine tools, the current simulated annealing method has become the first choice algorithm for large-scale optimization problems, and has been successfully applied to the optimization field, so it is also applied to the optimization of wire cutting parameters. Simulated annealing is a method of finding a globally optimal solution using a metal annealing process that simulates hot melting.

During the metal annealing process, it is first heated to melt, allowing the particles to move freely and then lowering the temperature. The lowest energy in the simulated annealing method corresponds to the minimum value of the objective function. Because the simulated annealing algorithm introduces the random disturbance equation, the system overcomes the local constraints, thus ensuring that the system finally obtains the global minimum solution. Moreover, the simulated annealing algorithm does not calculate the falling gradient like the traditional optimization method, so it is suitable for various types of objective functions and constraints. These advantages make the simulated annealing algorithm very suitable for the optimization of the parameters of WEDM.

The exhaustive method is an optimized method for the characteristics of wire cutting machines. Since the machining parameter setting of the cutting machine is generally adjusted by the gear, for example, the pulse width adjustment of the power supply of the TP series is divided into 16 steps. Therefore, the selection of processing parameters is a combination problem. When the model between the processing parameters and the process index is established, for each parameter combination, the combination of the processing parameters can be obtained by directly calculating the model. The pros and cons of the combination of process indicators to obtain optimized parameters.

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