Abstract: A method for identifying a critical error of a worm gear machine, step 1: obtaining an actual forward kinematic model T27a and an ideal forward kinematic model T27i 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.

Abstract: The present disclosure provides a worm gear machine, including a workbench, a cutter holder and a cutter holder adjusting system, where the cutter holder includes a big bracket, a first slide rail is disposed on the big bracket, a slide seat in sliding fit with the first slide rail is disposed on the first slide rail, a second slide rail is disposed on the slide seat, a small bracket in sliding fit with the second slide rail is disposed on the second slide rail; and a cutter holder spindle is disposed between the big bracket and the slide seat, a cutter bar synchronously rotating with the cutter holder spindle is disposed between an end of the cutter holder spindle facing toward the small bracket and the small bracket, and a gearbox for driving the cutter spindle to rotate is disposed in the big bracket.