Abstract: A case-based database model of high-speed cutting for engine parts was built, and a case-based reasoning algorithm was presented to solve the problem of lack of complete and practical database in high-speed machining area. By researching high-speed cutting process of engine parts, this paper analyzed the factors that play important role in cutting process. These factors arc described as process features, which describe cases and arc taken as the case retrieval conditions. A method of calculating the local similarity for each process features, as well as an objective entropy method to determine the weights of process features were presented. Case retrieval is achieved by nearest neighboring method.Through application, the feasibility of the database and the rationality of the cascbased reasoning are proved.

Key words: High-speed machining, Process features, Case-based reasoning, Similarity, Weight, Entropy method, Case retrieval,Nearest neighboring method