This invention relates to the field of
machining technology, and particularly to an intelligent matching method and
system for slow wire EDM
machining parameters. The method involves loading
electrode wire parameters and workpiece parameters to configure
machining parameters and obtain first machining parameters. When the monitored environmental parameters are inconsistent with the standard environmental parameters, the method uses the
electrode wire parameters, workpiece parameters, first machining parameters, and monitored environmental parameters as constraints to search the slow wire EDM machining sample set, performs lumped value evaluation, and obtains the fitted dimensions of the workpiece after
cutting. When the dimensional deviation between the fitted dimensions and the standard dimensions of the workpiece after
cutting is less than or equal to the dimensional tolerance,
metal cutting control is performed based on the first machining parameters; otherwise, the first machining parameters are updated. This invention improves the accuracy and stability of
metal cutting using slow wire EDM, reduces trial cutting costs and
scrap rates, increases machining efficiency, and reduces production burden.