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提出由切削用量库、刀具几何角度库、切削液库和单位切削功率库基本构成金属切削数据库，给出了它们的关系模式。由切削参数编码的特征位合成切削用量库关键字，即构成切削数据编码。按切削深度规范化存贮切削数据，并给出切削用量插值计算式。由切削数学模型的系数和指数，以及不同切削条件的修正系数建立浓缩型切削数据库，这类数据可实现切削数据优化。运用金属切削理论与经验等领域深层知识建立刀具材料选择专家系统，它作为一个子系统由切削数据库系统调用，通过正反向混合推理，可为切削新型金属材料推荐合适的刀具材料牌号。
It is proposed that the metal cutting database should be basically composed of the cutting stock library, the tool geometry view library, the cutting fluid library and the unit cutting power library, and their relationship patterns are given. The cutting bits are combined with the key bits coded by the cutting parameters to form the cutting data code. According to the depth of cut standardized storage cutting data, and given cutting interpolation formula. From the mathematical model of cutting coefficient and index, as well as the correction coefficient of different cutting conditions to establish a condensed type of cutting database, such data can be achieved cutting data optimization. Based on the deep knowledge of metal cutting theory and experience, the tool material selection expert system is established. It is called as a subsystem by the cutting database system. Through forward and reverse hybrid reasoning, suitable tool material grades can be recommended for cutting new metal materials.