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/).

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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  -