Abstract
This paper presents the multi-objective optimization of the hard milling process of AISI H13 steel under minimum quality lubricant with graphite nanoparticle. The cutting speed, feed per tooth, depth of cut, and hardness of workpiece were taken as the process parameters, while surface roughness, cutting energy, cutting temperature, and material removal rate were considered as technological responses. Response surface or Kriging approximate models were applied to generate the mathematical regression models showing the relationship between machining inputs and outputs obtained by physical experiments. Then, multi-objective particle swarm optimization algorithm in conjunction with the Pareto approach and engineering data mining was adopted to figure out the feasible solutions. The research results show that cutting energy can be reduced up to around 14% compared to the worst case. Based on the Pareto plot, the appropriate selection of machining parameters can help the machine tool operator to increase machining productivity and energy efficiency.
Highlights
Hard machining is a method of machining materials with a hardness of 40–70 HRC, using a tool with cutter blades which are geometrically shaped defined.[1,2] Traditionally, harden steel is often machined by grinding process in which a large amount of emulsifiable cutting fluids must be used in flushing conditions
Based on the literature review, we found that the simultaneous consideration of hard milling, minimum quantity lubrication (MQL), and optimization in machining technology is significant in terms of practice and academic
This paper investigates the hard milling process on AISI H13 steel in terms of productivity, quality, and cutting energy under nanofluid MQL condition
Summary
Hard machining is a method of machining materials with a hardness of 40–70 HRC, using a tool with cutter blades which are geometrically shaped defined.[1,2] Traditionally, harden steel is often machined by grinding process in which a large amount of emulsifiable cutting fluids must be used in flushing conditions. These cutting fluids can harm the environment when disposing of them after use. Nanofluids can improve the surface roughness, reduce the cutting force, lower friction, and increase tool wear resistance.[10,11,12,13,14,15,16] the research on the machining
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