A method for identifying a critical error of a worm gear machine, step 1: obtaining an actual forward kinematic model T.sub.27.sup.a and an ideal forward kinematic model T.sub.27.sup.i from a coordinate system of a worm gear hob to a coordinate system of a worm gear, thereby establishing a geometric error-pose error model of the worm gear machine; step 2: regarding the geometric error-pose error model of the worm gear machine as a multi-input multi-output (MIMO) nonlinear system, and solving, by taking the geometric error of each motion axis of the worm gear machine as an input feature X, and a pose error between the worm gear hob and the worm gear as an output variable Y, an importance coefficient of each input feature with a random forest algorithm; and step 3: determining a critical error affecting a machining accuracy of the worm gear machine.

The present disclosure relates to a method for the gear manufacturing machining of a workpiece in which a hobbing machining of the workpiece takes place to generate a gearing geometry of the workpiece, wherein the workpiece is gear manufacturing machined by gear skiving in addition to the hobbing machining.

The present disclosure relates to a method for the gear manufacturing machining of a workpiece in which a hobbing machining of the workpiece takes place to generate a gearing geometry of the workpiece, wherein the workpiece is gear manufacturing machined by gear skiving in addition to the hobbing machining.

A method for identifying a critical error of a worm gear machine, step 1: obtaining an actual forward kinematic model T.sub.27.sup.a and an ideal forward kinematic model T.sub.27.sup.i from a coordinate system of a worm gear hob to a coordinate system of a worm gear, thereby establishing a geometric error-pose error model of the worm gear machine; step 2: regarding the geometric error-pose error model of the worm gear machine as a multi-input multi-output (MIMO) nonlinear system, and solving, by taking the geometric error of each motion axis of the worm gear machine as an input feature X, and a pose error between the worm gear hob and the worm gear as an output variable Y, an importance coefficient of each input feature with a random forest algorithm; and step 3: determining a critical error affecting a machining accuracy of the worm gear machine.

The present disclosure relates to a method for the gear manufacturing machining of a workpiece in which a hobbing machining of the workpiece takes place to generate a gearing geometry of the workpiece, wherein the workpiece is gear manufacturing machined by gear skiving in addition to the hobbing machining.