What factors will affect the tooth surface roughness of the CWO100-63-YIII reducer worm
Publish Time: 2025-09-15 Origin: Site
The tooth surface roughness is the result of the coupling of 'machine tool-grinding wheel-workpiece-process-environment'. There is an interactive effect between various factors and coordinated optimization is required to achieve the target Ra stably (such as the accuracy of level 7 is about 0.4–0.8μm).
1. Materials and manufacturing technology
Material characteristics : Worm usually uses carbon steel or alloy steel (such as 40Cr), and its hardness and wear resistance after tempering and heat treatment directly affect the accuracy of the tooth surface.
Machinery Equipment Accuracy : Geometric errors of CNC machine tools, machining centers and other equipment (such as spindle rotation errors, guide rail straightness) will lead to worm tooth deviation.
Tooth surface processing quality : The tooth shape error, tooth pitch error and roughness need to be strictly controlled. Low roughness can reduce meshing friction and improve transmission efficiency.
Key points of adaptation for CWO100-63-YIII
Model and batch: Use 'Trial Cut-DOE-Current Parameters' for closed loops when small and medium-sized specifications and small batches; set the upper/lower limit and trigger and then optimize the threshold after batch stability.
Process interval reference: vs 40–60m/s; vw 100–150mm/min; ap 0.02–0.05mm/time; fine grinding margin 0.05–0.15mm (2–3 steps).
Countermeasures for common defects: regular corrugation/vibration → improve machine tool rigidity and servo matching, optimize trimming and vw; fish scales/tear → improve sharpness and cooling, adjust vs/lubrication; local roughness → check clamping and positioning consistency.
Acceptance recommendations: Level 7 accuracy target Ra 0.4–0.8μm; each batch of first items is 'circumferentially distributed + left and right tooth surfaces' to measure and retain morphological diagrams; set the upper limit of Ra (such as 0.8μm) and the upper limit of Rz (such as 4μm), and the upper limit of overload will trigger the re-optimization process.