Investigation of optimum assembly tolerance for a machine tool spindle
Journal
Key Engineering Materials
Journal Volume
656-657
Pages
682-687
Date Issued
2015
Author(s)
Abstract
The product quality of an ultra-precision spindle of milling machine is affected by many factors such as assembly tolerance, assembly process, and working circumstances. The purpose of this study is to find optimal assembly tolerance in order to enhance product quality. This study collects assembly parameters and testing results. In addition, those collecting data are used to train and test by the back-propagation neural network (BPNN) to obtain a quality index predictor so as to predict vibration level and temperature rise level. A variable control chart of SPC is employed to analyze the assembly tolerance data that impact on temperature rise level and vibration level. The results of the propose study not only increase the rotation accuracy and machining efficiency, but also decrease the vibration and temperature rise for ultra-precision spindle during operating.
Type
conference paper