Papers by Author: Yu Shen

Abstract: An analysis feature-based CAD-CAE integrated approach was proposed to solve the problems of rapidly CAE modeling for static and dynamic analysis process of machine tool. Firstly, analysis features were defined in CAD system and analysis feature library was constructed for machine tool and its structural components. Secondly, analysis feature model was constructed by attaching analysis feature to CAD model interactively. Finally, ANSYS parametric design language (APDL) file was generated automatically by mapping analysis features to APDL codes, which realized the integration of CAD system and ANSYS system. Based on application programming interface (API) of SolidWorks, a parametric CAD-CAE tool oriented to static and dynamic analysis of machine tool was developed, which realized parametric modeling and automatic analysis of machine tool and improved design efficiency and quality of machine tool.

Abstract: Thermal errors of motorized spindle are of great importance to affect final machining precision of CNC machine tool. Thermal characteristics simulation analysis of motorized spindle is realized by ANSYS; thermal errors test measurement is completed based on 5-point method; and prediction models of thermal errors are constructed by multiple linear regression (MLR) method, Back Propagation (BP) neural network method and Radial Basis Function (RBF) neural network method respectively. The results of simulation and experiments illustrate that simulation results can represent thermal characteristics of motorized spindle, whose degree of confidence mainly depending on setting of thermal load and boundary conditions properly or not; RBF neural network model has highest prediction precision for thermal errors of motorized spindle based on test data.