| Metal cutting database system is one of the important ways to improve the cutting efficiency and economic benefit. It can promote the cutting technology to use widely and develop rapidly. However, the establishment of a large, universal metal cutting database system is a huge project. It will spend a large amount of manpower, material and financial resources. At present, the universal metal cutting database system has not yet existed in China.The study and establishment of a metal cutting database system with a determinate range of application is still the research strategy of the machining manufacturers in order to realize the need for cutting data. The main purpose of this issue is as follows:(1) to discuss the inference mechanism of the turning database system in order to meet the requirements of integration, intelligence, practical, high efficiency when recommending tools, cutting parameters; (2) to establish the manufacturing cutting consultant expert information system, namely:the turning database system, in order to enable users query the whole solution of one working operation from the database system; (3) to develop the special database system meeting the actual turning requirements of the machining manufacturer.The turning database system for a specific cutting tool manufacturer is studied by the method of combining theory analysis and system development in this paper. The main contents are as follows:the factors of influencing on the machining requirements and tool life are analyzed and given a reasonable option; the cutting parameters mathematical models are established by experiment and theory analysis; considering the cutting conditions, the cutting parameters mathematical models are amended; the reasoning engine of the system is constructed; the similarity is calculated and the attribute weights are analyzed for CBR; the turning database system has been developed; the system is applicated in workshop.The rationalization tools, cutting parameters, and other processing parameters can be recommended under the common cutting condition by the turning database system. The weakness of the redundant data, poor knowledge in the database can be overcomed by using the concentrated mathematics models got from the cutting experiment. The groups of the cutting parameters and tool life are extended by using the tool life formula to recommend the cutting parameters. The self-learning modules can enable the system to adjust to the dedicated turning system for the specific machining manufacturer. |
