A research on the cutting database system based on machining features and TOPSIS

Cutting parameters play a significant role in machining processes. The traditional cutting database usually neither include all information about part machining nor provide the best alternative of cutting parameters automatically when several alternatives meet the requirements for retrieval. The paper presents a cutting database system based on machining features and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for selecting the best alternative of cutting parameters. Following the object-oriented idea, machining features are organized by part feature, geometric information, material information, precision information and manufacturing resources information, which is very convenient for the database to store and manage the necessary machining information. The multiple criteria decision making matrix D is constructed by spindle speed, feed rate, cutting depth and cutting width. And the best alternative of cutting parameters is selected according to the closeness coefficient by TOPSIS. In addition, a prototype system based on Web browsing mode has been developed. Finally, an example is used to validate that the proposed system is feasible and effective.