| Issue |
MATEC Web Conf.
Volume 78, 2016
2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016)
|
|
|---|---|---|
| Article Number | 01036 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/20167801036 | |
| Published online | 07 October 2016 | |
An experimental result of surface roughness machining performance in deep hole drilling
1 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
2 Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
* Corresponding author: azizahbtmohamad@yahoo.com.my
This study presents an experimental result of a deep hole drilling process for Steel material at different machining parameters which are feed rate (f), spindle speed (s), the depth of the hole (d) and MQL, number of drops (m) on surface roughness, Ra. The experiment was designed using two level full factorial design of experiment (DoE) with centre points to collect surface roughness, Ra values. The signal to noise (S/N) ratio analysis was used to discover the optimum level for each machining parameters in the experiment.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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