Due to the large number of holes,small hole diameter and inability to judge the machining conditions and to adjust the cutting parameters according to the vibration and noise during machining,the machining of large-scale small-hole parts is low machining efficiency,chip removal is difficulty,and drill bits is easily broken,etc.Grouping experiments were carried out on large-scale small-hole parts,and on the basis of basic theoretical cutting parameters,multiple sets of machining parameters control experiments with equal spacing numerical grading were carried out.In the obtained interval,further continuous machining experiments were carried out to observe the tool wear,the wear situation was analyzed with the aid of instruments such as microscopes,and specific cutting parameters that were feasible and capable to continuously machine were obtained.Finally,the data analysis software SPSS was used to conduct multi-factor analysis between cutting parameters and machining results to construct a mathematical model,and the feasible intervals and optimal parameters of speed S,feed speed F,and tool retraction R′were obtained.According to the feasible intervals and optimal parameters,the actual numerical control machining experiment was carried out to verify the feasibility and stability of the mathod.