Optimizing Milling Process Parameters of Bovine Horns forMaximizing Surface Quality and Minimizing Power Consumption
- DOI
- 10.2991/icoemis-19.2019.49How to use a DOI?
- Keywords
- Bovine Horns, Surface Roughness, Power Consumption, Grey Relational Analysis
- Abstract
Bovine Horn is an abundant natural resource, yet its industrial application is limited. Introducing this natural material to the machining process is expected to improve the adoption of this material in producing industrial products. This study aims to describe the optimization of bovine horns milling process parameters, depth of cut (d), feed-rate (f), and spindle speed (s), in obtaining a maximum surface quality as well as minimizing power consumption. The results showed that at d = 1 mm, f = 72 mm/min, and s = 860 rpm, the work-piece exhibited low surface roughness (Ra= 0.614µm), whereas at the setting of d = 1 mm, f =155 mm/min, and s =360 rpm, the process consumed the least power (P= 0.858kW). Grey rational analysis (GRA) was applied to obtain the optimal point from these two conditions. This analysis proposed d = 1 mm, f = 72 mm/min, and s = 860 rpm as the milling parameters to produce good surface quality (Ra= 0.614 µm) with less power consumption (P=0.991 kW). Finally, decreasing feed-rate and depth of cut of the milling process is the reasonable approach to produce the machined products made of bovine horns with good surface quality and minimum power consumption.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Audrey Unadi AU - Teddy Sjafrizal AU - Rino Anugraha AU - Muhammad Iqbal PY - 2019/11 DA - 2019/11 TI - Optimizing Milling Process Parameters of Bovine Horns forMaximizing Surface Quality and Minimizing Power Consumption BT - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019) PB - Atlantis Press SP - 359 EP - 366 SN - 1951-6851 UR - https://doi.org/10.2991/icoemis-19.2019.49 DO - 10.2991/icoemis-19.2019.49 ID - Unadi2019/11 ER -