Aiming at the existing problems of scattered distribution of related cutting parameters,probable inapplicability and mismatch of involved cutting database when structural parts in the field of aerospace are to be machined,main factors that may leaded to different cutting parameter determination and thus resulted in different cutting finish were firstly found by focusing on various effects of related processing technology.Then,a novel intelligent cutting database system was established based on a hybrid rule-based reasoning strategy,which was suitable for cutting parameter optimization when machining the structural parts.Furthermore,by means of hybrid rule-based reasoning and NX secondary development technology,the cutting database system was established,by which the cutting parameters could be intelligently selected and automatically loaded.Therefore,the burden of technologists is effectively eased and thus relatively high programming efficiency can also be achieved.Finally,effectiveness of the developed technique is validated via its application onto the programming process of a typical parts of aeroengine.