Stress and Deformation Analysis of a Tool Holder Spindle using $iSight^{(R)}$

$iSight^{(R)}$를 이용한 툴 홀더 스핀들의 변형 및 응력해석

  • 권구홍 (창원대학교 기계설계공학과) ;
  • 정원지 (창원대학교 기계설계공학과)
  • Received : 2009.12.31
  • Accepted : 2010.06.14
  • Published : 2010.09.01

Abstract

This paper presents the optimized approximation of finite element modeling for a complex tool holder spindle using both DOE (Design of Experiment) with Optimal Latin Hypercube (OLH) method and approximation modeling method with Radial Basis Function (RBF) neural network structure. 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. For this purpose, we present the optimized approximation of finite element modeling for a complex tool holder spindle using both DOE (Design of Experiment) with Optimal Latin Hypercube (OLH) method (specifically a module of $iSight^{(R)}$ FD-3.1) and approximation modeling method with Radial Basis Function (RBF) (another module of $iSight^{(R)}$ FD-3.1) neural network structure

Keywords

References

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