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Development And Study Of Metal Cutting Database In An Intelligent CAD System For Cutting Tools

Posted on:2008-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:J YangFull Text:PDF
GTID:2178360212495568Subject:Mechanical Manufacturing and Automation
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Intelligent cutting tool CAD system is becoming more and more important with the application of AI in Expert System, and the development of modern enterprises and CAD technology. It provides the scientific data and drawings for the machining operation and cutting tool design. It has been developed in compliance with the request of Ning Jiang Group Co.Ltd..Metal cutting data is important in a CAD system. Metal cutting database provides the cutting parameters based on experience and experiment for the machining process of the holes on modular machine tool, also provides the cutting forces and cutting power in given machining conditions. Compared with the general-purpose metal cutting database, the metal cutting database is much more integrated, intelligent and practicable. The optimized geometric parameters and cutting parameters are much more beneficial to exert the performance of the cutting tool and the machine tool.The database consists of discrete type and formulized type. The database uses the relational data theory, establishes the relational model, which accords with the normal form BCNF. Then the background discrete type database is created by using a relational database management system SQL server 2000.For formulized database, Minimum cost, maximum profit and maximum productivity are employed as the evaluating goals respectively. Firstly, the depth of cut is selected, then the feed rate will be calculated, at last, the cutting speed is optimized'using "golden section" method. In the rough machining, the power of the machine tool is the main constraining condition, while in finish machining, the surface roughness of the workpiece being machined is the primary restricting requirement. After the optimization, the cutting speed should be checked up. If the cutting parameters meet the restricting requirement, the result is the best one, otherwise the boundary value is the best choice.Cutting force provides the necessary data for the stress and strain prediction of the tool holder, the selection of the cutting tool and the cutting parameters. This dissertation introduces the calculating method based on the empirical formulae, the FEM method based on Deform 3D for cutting force prediction. Deform 3D is an efficient, easy-operating and precise FEM software. And the software offers the wizards for the prediction of turning and boring forces. The simulation is performed using software Deform 3D in the study. In drilling case, the author refers to the steps and the parameters setting in the Deform-pre created by turning simulation from the wizard, and sets the parameters necessary in the Deform-pre, then conducts the simulation. Finally the output data from the simulation are compared with the data gained from the experiment and the computation by using empirical formulae. The results show that the simulation data are close to the experimental ones. Therefore , FEM method in cutting force prediction is an efficient and relative low-cost approach.The CAD system, integrated with the optimization of cutting tool's geometric parameters, the optimization of the cutting parameters, and the automatic generation of 3D solid image and 2D drawings of components and assembly drawings, is developed using CBR technology, expert system, dynamic link library, ADO technology, which integrates the merits of Visual C++ 6.0, SQL server 2000 and SolidWorks. This dissertation mainly focuses on its general configuration, functional modules and its working flow. The cutting tool geometric parameters and the cutting parameters provided by the CAD system are more reasonable. The 2D drawings and 3D images meet the requirement of the factory. The efficiency of design and production will be greatly improved.
Keywords/Search Tags:CAD, metal cutting database, cutting parameters, Cutting force, FEM
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