Research On Intelligent Cutting Database And Data Mining Technology

As a fundamental work to develop modern manufacturing technology, cutting database technology can provide reasonable and optimal cutting data for the manufacturing industry so as to improve machining accuracy, surface quality, and machining efficiency. In this paper, the intellectualization of cutting database and the application technology of data mining are studied. The concrete works are as follows:In this paper, cutting database system is designed and developed based on the plate of Windows system and SQL Server2000. In order to provide the needed data information for different users, large amount of cutting data, cutting knowledge and model information can be stored, amended and queried via the cutting database system. In this system, knowledge database is developed, with which rule-based reasoning can carry out successfully. Moreover, the model database in this system can avoid the problem of repeated experiments and modeling, and further save processing time and decrease machining cost.Based On the foundation of cutting database, rule-based reasoning and cutting parameters optimization are integrated into the cutting database system in this paper. According to the rule-based reasoning system, intelligent processing scheme can be provided for the new workpiece material and new machining requirements. Further more, with the help of the module of cutting parameters optimization, single-objective optimization and multi-objective optimization for cutting data can be carried out, and then optimal cutting parameters are obtained.On the basis of the study of intelligent cutting database system, the association rules data mining technology based on Apriori algorithm is applied into cutting database. This paper analyzes the algorithm Apriori for association rule mining, and makes some improvement for this Algorithm based on the features of cutting database. Improved Algorithm is used to mine association rules in cutting database. The results show that the algorithm Apriori can be efficiently used in cutting data mining.The above research results are useful practically in the development of intelligent cutting data platform and research of data mining technology in cutting database. In addition, it can cast somelights on promoting intellectualization of cutting, and improve machining efficiency as well.