Grey Relational Analysis to Determine Optimum Process Parameters for Thermo Mechanical Form Drilling – Riveting

The form drilling riveting is an advanced joining process of aluminum alloys. The purpose of this work is to made new type of form drilling – riveting tool. In addition, the effect of speed rate, feed rate and cone radius ratio on thrust, torque and heat generated were investigated. The significance of influence parameters on their quality characteristics were examined by ANOVA. The optimal combination of parameters for speed and feed were determined based on Signal to Noise ratio. Since the process has multiple performance characteristics, the grey relational analysis is used. The grey relational grade normalizes the contradicting performance indices. From eighteen experiments based on the orthogonal array of L18 the best combination of parameters were found. Compared with Taguchi’s method the proposed method is more scientific. The experimental results confirm that the proposed method in this study effectively improves the machining performance of Form Riveting process.