Abstract
The application of response surface methodology and non-linear programming for optimizing multiple performance characteristic in electro discharge machine (EDM) sinking process of HPM 38 steel was investigated. In this research, the main objective was to minimize surface roughness with electrode wear rate and material removal rate as constraints. The experiments were conducted based on Box-Behnken design (BBD) consisting 27 numbers of experiments. Quadratic model regression of response surface methodology was developed as efficient approaches to determine the optimal machining parameters in EDM process. Analysis of variance was applied to investigate the influence of process parameters (pulse current, gap width, on time and offtime) and their interactions on surface roughness, electrode wear rate and material removal rate. A confirmation test was carried out to check the deviation of the predicted (optimum value) with experimental results.
| Original language | English |
|---|---|
| Pages (from-to) | 1066-1072 |
| Number of pages | 7 |
| Journal | ARPN Journal of Engineering and Applied Sciences |
| Volume | 11 |
| Issue number | 2 |
| Publication status | Published - 2016 |
Keywords
- EDM sinking
- Electrode wear rate
- Material removal rate
- Non-linear programming
- Response surface methodology
- Surface roughness