The Study And Development Of Milling Parameter Intelligent Optimization System

It is an important and implicated work to choose the reasonable machining parameters during the design of the machining process. The key issues are to decide these indexes of the machining quality, productivity, cost and the utilization of equipments. With the application of advanced manufacturing techniques, it increases the importance of choosing reasonable milling parameters. Because the rate of the machining die sharing the total cutting weight is enlarging and the rate of the milling operation in machining die is rapidly rising. In milling processing, getting the reasonable results and calculate the possible cutting parameters is very difficult in the process of new materials, new methods and new equipments applied to decide the machining parameters. The milling parameters are influenced by many factors, such as machine tool, a cutting tool, the materials of the work-piece, the quality of the work-piece achieved, the allowed period and the cost to achieve the work-piece. So, a new method is needed to rapidly and accurately decide the milling parameters of a milling operation in designing the machining technology.The system offers a platform to rapidly get the reasonable cutting parameters for milling operations. It has the characteristic that the users can obtain their requirements of machine work-piece according to some owned information and the rationality. It is inevitable to increase the enterprise's competitive ability in market by the reasonable process (period, cost, profit, and so on) to manufacture work-piece according to the choice of the reasonable cutting parameters. So develop the system is a effective way to improve the cutting efficiency and the benefit for manufacturing.Based on the database, the system can rapidly and reasonably decide the cutting speed, the feed of a cutting-tool's tooth, the cutting depth by the condition of cutting tool, material of work piece, and the required quality. The VC++6.0 is chose as the platform to develop the system. The database depends on the SQL Server2000 database. The algorithms are the expert speculating and the GA. My main achievements are as follow:1. The optimization of the milling parameters of a milling operation had been developed and the alternate interfaces were developed using the programming method of orient object.2. After the entity-relationship model is converted to the relation model, the design of engineering database of milling parameters has been accomplished by using the common relation database.3. Based on the effect of the work-pieces' physical mechanical properties to its mechanical property, established the knowledge data base by summing up manufacture rules of the manual data. 4. Based on the theories of the cutting metal, the study has developed the conditional optimization model by the functions of milling parameter's optimization, the functions of the constraint condition of machine tool, cutting tool, material, etc, and the GA algorithm.