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Study On Optimization Database System Of Large Cylinder Section Cutting Parameters

Posted on:2015-11-19Degree:DoctorType:Dissertation
Country:ChinaCandidate:M LiuFull Text:PDF
GTID:1221330431998754Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
The large cylinder sections are common key parts of important equipment inchemical, petroleum, mining, metallurgy, heavy machinery, the nuclear industry andother industries. And it’s constantly in demand increases and tends to large-scale. Asthe cylinder section is free forged by the tons of hydraulic machine. It is moresurface defects, particularly severe eccentric cylindrical, low tool life, low cuttingefficiency and cutting difficult. Therefore, the development of the optimizationdatabase system of large cylinder section cutting parameters is of great significance,because the system can provide efficient and reasonable cutting parameters whichare required machining in a fast and accurate way.This article studies the optimization database system of large cylinder sectioncutting parameters through the theoretical model and system development. On thebasis of the above theoretical model, this paper develops the optimization databasesystem of large cylinder section cutting parameters which is based on the C/Smode. This article establishes tools library, machine library, workpiece materiallibrary and other libraries. And implementation of preferred cutting parameters aregiven; Then this paper proposes similarity calculation method of workpiece materialand tool material. So Hybrid Reasoning is achieved through combining Rule-basedreasoning with Case-Based Reasoning. By using the interactive particleoptimization algorithm, this article achieves interactive selection of machines andtools, as well as optimized cutting parameters. Then this paper achieves theparametric design of inserts and tool life evaluation. Finally, the optimizationdatabase system of large cylinder section cutting parameters based on C/S mode isdeveloped.Establishment of architecture of the optimization database system of largecylinder section cutting parameters: This system makes SQL Server2000and Visual C++6.0as its programming tools by object-oriented programming method.Moreover, this paper connects the application with the database by the ODBCinterface technology. Then the system achieves Real-time query and management oftools, machines, workpieces and other cutting parameters information. And thenpreferred cutting parameters is achieved by Hybrid Reasoning and interactiveparticle swarm.Establishment of knowledge library in the optimization database system oflarge cylinder section cutting parameters: the ability of intelligent systems to solveproblems depends largely on the quality and quantity of knowledge that they have.Therefore, how to effectively use, store, manage, organize, maintain and updatelarge-scale knowledge and effective use of stored knowledge reasoning andproblem solving will directly affect the performance of intelligent systems. Thisarticle based on the classification of knowledge, knowledge representation andknowledge obtaining establishes the knowledge library, which includes examples ofthe library, preferably parameter library, factual knowledge base, rule base, toprovide a basis for the preferred cutting parameters.Establishment of large cylinder section cutting parameter optimization model:According to cylinder section cutting parameter optimization requirements, thisarticle determines the optimization variables, objective function and constraints.And then in the case of satisfying the constraints, the system establishes cylindersection cutting parameters optimization model to the principle of selection tools,cutting parameters, cutting parameters and cutting fluids under the requirements ofthe objective function. Finally, this paper achieves the optimization of cuttingparameters.Implementations of interactive particle swarm optimization algorithm based onknowledge: To avoid the optimization parameters obtained by Hybrid Reasoningdoes not meet machining requirement, the paper uses the principle of particleswarm optimization algorithm. By introducing the particle swarm into optimizationmodel, the article achieves optimal selection of machine tools, cutting tools, cuttingthree elements.Parametric design of inserts and tool life evaluation realization: with theSolidWorks secondary development, inserts design module achieves that the system recommends cutting parameters through the workpiece material, processinginformation and other data entered by the user. And then the system willrecommends the shape of the inserts, the front and rear angles and other information.Ultimately the heavy inserts are designed for863projects. The papercomprehensive analysis of cylinder section features of rough forging shortageprocess, and then presents an evaluation of tool cutting stroke calculation andimpact life about the large cylinder section shortage of rough forging process.The system is designed reasonable, perfect function, simple and beautifulsystem interface, easy to operate and flexible. The system not only can providereasonable processing and optimized cutting data for cylinder sections, but alsocould design three-dimensional cutting tool model and accurately evaluate its lifefor cylinder section. This has important implications for improving productivity andprocessing enterprises.
Keywords/Search Tags:cutting database, large cylinder section, cutting parameter optimization, design of inserts, life evaluation
PDF Full Text Request
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