Application of iSIGHT for Optimal Tip Design of Complex Tool Holder Spindle

نویسندگان

  • Hong Kwon
  • Won Jee Chung
  • Ki Beom Park
چکیده

This paper presents the application of iSight for optimal tip design of complex tool holder spindle. The complex tool holder is used for holding a (milling/drilling) tool of a machine tool. The engineering problem of complex tool holder results from the twisting of spindle of tool holder. This leads to the vibration of tool holder which makes the tool holder malfunction. This engineering problem can be solved by proposing the optimized mathematical approximation (or modeling) of finite element modeling for the complex tool holder using OLH and RBF neural network. The finite element modeling will be obtained by using ANSYS 11.0 Classic. The OLH gives us regular sampling, not random sampling, between lower and upper bounds. According to the DOE, we will perform the simulation of finite element modeling whose outputs are the minimum stress, by incorporating OLH (specifically a module of iSight FD-3.1) into ANSYS 11.0 Classic. Finally the optimized mathematical approximation can be resulted in by using the RBF (another module of iSight FD-3.1) of neural network structure. The effectiveness of our proposed approximation technique will be verified by making a prototype of complex tool holder based on the optimized dimensions of both length and thickness for tool holder spindle tip.

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تاریخ انتشار 2010