Mechanism of minimum quantity lubrication in high-speed milling of hardened steel

Liao, Yunn‐Shiuan; Lin, Hung-Yeh

doi:10.1016/j.ijmachtools.2007.01.007

Cited by 152 publications

(56 citation statements)

References 22 publications

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“…Tool wear, workpiece surface roughness and cutting forces were analyzed. Liao, Lin 10 reported that the tool life can be successfully enhanced using MQL application in HSM of NAK80 hardened steels by selecting the proper cutting parameters. A feasibility study on the …”

Section: Introductionmentioning

confidence: 99%

Machinability Evaluation in Hard Milling of AISI D2 Steel

Gaitonde¹,

Karnik²,

Maciel

et al. 2016

Mat. Res.

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Milling of hardened steel components provides considerable benefits in terms of reduced manufacturing cost and time compared to traditional machining. Temperature variation in milling is an important factor affecting the wear of cutting tools. The poor selection of milling parameters may cause excessive tool wear and increased work surface roughness. Hence, there is a need to study the machinability aspects during milling of hardened steel components. In the present work, influence of cutting speed, feed rate and radial depth of cut on milling temperature, surface roughness and cutting force during milling of AISI D2 steel has been investigated using response surface methodology (RSM) based models. From the parametric analysis, it is revealed that temperature increases linearly, whereas surface roughness increases non-linearly with cutting speed. However, for higher values of feed rate, an increased cutting speed considerably reduces the cutting force for specified depth of cut range. The present work also reveals that the selection of best cutting conditions is useful at the CAPP stage in the milling process particularly with tight tolerances.

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Section: Introductionmentioning

confidence: 99%

Machinability Evaluation in Hard Milling of AISI D2 Steel

Gaitonde¹,

Karnik²,

Maciel

et al. 2016

Mat. Res.

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show abstract

“…A considerable number of researches in the mentioned field have also established its potential application in many practical machining operations [17]. Machining with MQL has been widely applied in many machining processes such as drilling [18][19][20][21], milling [7,[22][23][24][25], turning [11,20,[26][27][28], and MQL grinding [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization of end milling process under minimum quantity lubrication with nanofluid as cutting medium using pareto optimality approach

Najiha¹,

Rahman²,

Kadirgama³

2016

Int. J. Automot. Mech. Eng.

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In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting fluid. The optimization is carried out employing a parametric model (in terms of input cutting parameters, i.e., cutting speed, feed rate, depth of cut, MQL flow rate and % volume concentration of nanofluid) and exploiting the capabilities of the MOGA-II algorithm applied to the constrained machining problem. The objective functions selected to optimize are: to minimize the surface roughness; to maximize the material removal rate; and to minimize the flank wear of the cutting tool. The output of the optimization includes several alternative optimal solutions, i.e., Pareto frontier, and the best compromised configuration of the cutting parameters is selected subject to weighted preference.

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“…The machined parts are lubricated with a very small amount of fluid sprayed on to them, resulting in a very low residue of lubricant on chips, tool and the workpiece; hence their cleaning is easier and cheaper; recycling of chips is easy, as is scrutiny of the machining process, since the machining area is not flooded. Machining with MQL has been extensively applied in many machining processes such as drilling [18][19][20], milling [21][22][23][24][25][26], turning [19,27], and MQL grinding [28][29][30][31]. MQL is significantly contributing towards performance and quality in the environment, working condition and economics of machining.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of minimum quantity lubrication in end milling of aluminum alloy AA6061T6

Najiha

Rahman²,

Kadirgama³

et al. 2015

Int. J. Automot. Mech. Eng.

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The purpose of this research is to optimize the process of minimum quantity lubrication (MQL) in the end milling of AA6061T6 using multi-objective genetic algorithm approach. Response surface methodology coupled with a central composite design of experiments is used for modeling. Data is collected from a vertical CNC milling center and the input parameters are cutting speed, table feed rate, axial depth of cut and the minimum quantity lubrication flow rate. Analysis of variance at a 95% confidence level is implemented to identify the most significant input variables on the CNC end milling process. Optimization of the responses is done using a multi-objective genetic algorithm. A multi-criteria decision making utility is used to find among the feasible range of optimum designs for the operating parameters and the responses. An iterative multi-criteria decision making algorithm is used to find the best design among those obtained from multiobjective optimization with respect to the given conditions. The best design obtained for the equal weightage case is the design at 5252 rpm, with a feed rate of 311 mm/min, a depth of cut of 3.47 mm and MQL flow rate at 0.44 ml/min.

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Mechanism of minimum quantity lubrication in high-speed milling of hardened steel

Cited by 152 publications

References 22 publications

Machinability Evaluation in Hard Milling of AISI D2 Steel

Machinability Evaluation in Hard Milling of AISI D2 Steel

Parametric optimization of end milling process under minimum quantity lubrication with nanofluid as cutting medium using pareto optimality approach

Multi-objective optimization of minimum quantity lubrication in end milling of aluminum alloy AA6061T6

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