TY - GEN
T1 - Application of Taguchi-grey method to optimize drilling of EMS 45 steel using minimum quantity lubrication (MQL) with multiple performance characteristics
AU - Soepangkat, Bobby O.P.
AU - Suhardjono,
AU - Pramujati, Bambang
N1 - Publisher Copyright:
© 2017 Author(s).
PY - 2017/6/15
Y1 - 2017/6/15
N2 - Machining under minimum quantity lubrication (MQL) has drawn the attention of researchers as an alternative to the traditionally used wet and dry machining conditions with the purpose to minimize the cooling and lubricating cost, as well as to reduce cutting zone temperature, tool wear, and hole surface roughness. Drilling is one of the important operations to assemble machine components. The objective of this study was to optimize drilling parameters such as cutting feed and cutting speed, drill type and drill point angle on the thrust force, torque, hole surface roughness and tool flank wear in drilling EMS 45 tool steel using MQL. In this study, experiments were carried out as per Taguchi design of experiments while an L18 orthogonal array was used to study the influence of various combinations of drilling parameters and tool geometries on the thrust force, torque, hole surface roughness and tool flank wear. The optimum drilling parameters was determined by using grey relational grade obtained from grey relational analysis for multiple-performance characteristics. The drilling experiments were carried out by using twist drill and CNC machining center. This work is useful for optimum values selection of various drilling parameters and tool geometries that would not only minimize the thrust force and torque, but also reduce hole surface roughness and tool flank wear.
AB - Machining under minimum quantity lubrication (MQL) has drawn the attention of researchers as an alternative to the traditionally used wet and dry machining conditions with the purpose to minimize the cooling and lubricating cost, as well as to reduce cutting zone temperature, tool wear, and hole surface roughness. Drilling is one of the important operations to assemble machine components. The objective of this study was to optimize drilling parameters such as cutting feed and cutting speed, drill type and drill point angle on the thrust force, torque, hole surface roughness and tool flank wear in drilling EMS 45 tool steel using MQL. In this study, experiments were carried out as per Taguchi design of experiments while an L18 orthogonal array was used to study the influence of various combinations of drilling parameters and tool geometries on the thrust force, torque, hole surface roughness and tool flank wear. The optimum drilling parameters was determined by using grey relational grade obtained from grey relational analysis for multiple-performance characteristics. The drilling experiments were carried out by using twist drill and CNC machining center. This work is useful for optimum values selection of various drilling parameters and tool geometries that would not only minimize the thrust force and torque, but also reduce hole surface roughness and tool flank wear.
UR - http://www.scopus.com/inward/record.url?scp=85021431170&partnerID=8YFLogxK
U2 - 10.1063/1.4985460
DO - 10.1063/1.4985460
M3 - Conference contribution
AN - SCOPUS:85021431170
T3 - AIP Conference Proceedings
BT - Green Process, Material, and Energy
A2 - Prasetyo, Hari
A2 - Setiawan, Wisnu
A2 - Suryawan, Fajar
A2 - Nugroho, Munajat Tri
A2 - Widayatno, Tri
A2 - Hidayati, Nurul
A2 - Setiawan, Eko
PB - American Institute of Physics Inc.
T2 - 3rd International Conference on Engineering, Technology, and Industrial Application - Green Process, Material, and Energy: A Sustainable Solution for Climate Change, ICETIA 2016
Y2 - 7 December 2016 through 8 December 2016
ER -