Abstract
This research paper focuses on the optimization of the input parameters used in the computer numerical controlled (CNC) milling of polypropylene + 60 wt% quarry dust composite. The efficiency and profitability of the cutting operation was assessed using the material removal rate (MRR). Finding the optimal and suitable parameters to use in the cutting of polypropylene + 60 wt% quarry dust composite is crucial when it comes to increasing productivity without increasing the cost of production and machining time. Therefore, the Taguchi technique was utilized to optimize the cutting speed, the feed rate and the depth of cut used while focusing on their effects on the material removal rate. The analysis of the input parameters was carried out using the L9Taguchi orthogonal array, the signal-to-noise (S/N) ratio and the analysis of variance (ANOVA). The finding showed that the optimal milling parameters for efficient productivity were; the cutting speed of 600 rpm, a feed rate of 200 mm/min and depth of cut of 0.8 mm. Additionally, the feed rate is the most contributing factor in affecting the material removal rate, followed by the depth of cut and lastly the cutting speed at 53%, 17 and 10% respectively.
Original language | English |
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Pages (from-to) | 1130-1132 |
Number of pages | 3 |
Journal | Materials Today: Proceedings |
Volume | 44 |
Early online date | 18 Dec 2020 |
DOIs | |
Publication status | Published - 27 Apr 2021 |
Externally published | Yes |
Event | 11th International Conference on Materials Processing and Characterization - Indore, India Duration: 15 Dec 2020 → 17 Dec 2020 |
Keywords
- Analysis of variance (ANOVA)
- CNC milling
- Composite
- Material removal rate
- Quarry dust
- Taguchi optimization technique