Design of Database for High Speed Cutting of Difficult-to-Cut Materials

Abstract:

High speed machining (HSM) is one of the main trends of cutting machinery and is an important development direction of advanced manufacturing technology. In our country, the relevant research of HSM database starts later, especially of the cutting of hardworking material, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. The paper established HSM database system of the hardworking material based on web to improve cutting efficiency. According to the different feed and cutting tool by the Web form, it gets the rational cutting parameters. And the system determines the tool-path planning by the manufacture HSM of hardworking material processing animation to simulate the high-speed milling. The results of inquiry as a Web page and let you get parameters of optimization, increases efficiency of factories.

• Periodical: Materials Science Forum (Volume 723)
• Pages: 337-342
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.723.337
• Online since: June 2012
• Authors: Li Juan Liu, Wen Ge Wu, Ming Lv
• Keywords: BP Neural Network (BPNN), Database, Hardworking Material, High-Speed Cutting, Web

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