Optimization of multiple quality characteristics for polyether ether ketone injection molding process |
| |
| Authors: | Chung-Feng Jeffrey Kuo Te-Li Su |
| |
| Institution: | 1. Department of Polymer Engineering, National Taiwan University of Science and Technology, 106, Taipei, Taiwan
|
| |
| Abstract: | This study examines multiple quality optimization of the injection molding for Polyether Ether Ketone (PEEK). It also looks
into the dimensional deviation and strength of screws that are reduced and improved for the molding quality, respectively.
This study applies the Taguchi method to cut down on the number of experiments and combines grey relational analysis to determine
the optimal processing parameters for multiple quality characteristics. The quality characteristics of this experiment are
the screws’ outer diameter, tensile strength and twisting strength. First, one should determine the processing parameters
that may affect the injection molding with the L18(21×37) orthogonal, including mold temperature, pre-plasticity amount, injection pressure, injection speed, screw speed, packing
pressure, packing time and cooling time. Then, the grey relational analysis, whose response table and response graph indicate
the optimum processing parameters for multiple quality characteristics, is applied to resolve this drawback. The Taguchi method
only takes a single quality characteristic into consideration. Finally, a processing parameter prediction system is established
by using the back-propagation neural network. The percentage errors all fall within 2%, between the predicted values and the
target values. This reveals that the prediction system established in this study produces excellent results. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
