The orthogonal experiment table with four factors and five levels was established.Wire electrical discharge machining experiment was carried out on magnesium alloy sheet through taking processing speed and surface roughness as targets.Multivariate regression equation of wire-cutting processing speed and surface roughness model for magnesium alloy sheet was presented by SAS analysis.Meanwhile

the significance order of affecting factors on wire-cutting processing of magnesium alloy sheet was presented as follows:pulse peak current

pulse spacing and pulse width

and effects of thickness of the workpiece can be ignored on wire-cutting processing.The process parameter combination was optimized based on the best level of affecting factors.Wire cutting process of magnesium alloy sheet was forecasted with BP neural network.The error of predicted value and the actual target value was within the scope of the training error

meeting the requirements.