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Research Of The Intelligent System To Choose The Machining Parameter For Grinding Operation

Posted on:2007-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:L F MengFull Text:PDF
GTID:2121360185993268Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
It is an important and complicated work to choose the reasonable machining parameters during the machining process. Because the machining parameters have a significant influence on the machining quality,productivity,cost and the utilization of equipments. It is not only difficulty to get the reasonable result but also no way to find the possible cutting parameter in the process of new material,new method and new equipments to be applied if to decide the machining parameter for grinding operation by the common method to design the cutting parameter. Because the decision of the machining parameters for grinding operation is influenced by many factors, such as machine tool, cutting tool, the material of the work-piece, the quality of the work-piece to be achieved, the allowed period and the cost to achieve the work-piece, and so on. In a word, the new method is necessary when to rapidly and accurately decide the machining parameter for grinding operation in designing the machining technology.The system offers a platform to rapidly get the reasonable cutting parameters for grinding operations because of the research and development of the intelligent system. It is its characteristic that the users may decide the need requirement to machine work-piece by the planning method according to some owned information and the rationality to decide the cutting parameters. 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 parameter.The system can rapidly and reasonably decide the number of the cutting speed,...
Keywords/Search Tags:Machining parameters, neural network, Fuzzy, GCAQBP algorithm
PDF Full Text Request
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