Machining of 6061 aluminium alloy with MQL, dry and flooded lubricant conditions

Sreejith, P. S.

doi:10.1016/j.matlet.2007.05.019

Cited by 188 publications

(97 citation statements)

References 5 publications

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“…MQL was found to perform slightly better than plain compressed air, and this was explained to occur because the lubricating effect of the oil partly mitigated due to the compressed air jet of the MQL supply. Sreejith [19] Conducted investigations in the turning process of aluminium alloys and stated that when the machined speed increased from 50 to 400 m/min, the adhesion between the tool and the chip also increased correspondingly. This could be due to the increase in thermal softening of the chip as the temperature increased with the increase in cutting speed.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

et al. 2017

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Abstract:In recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N), feed rate (f), axial depth of cut (a) and radial depth of cut (r). The experiment was designed using central composite design (CCD) in which 31 samples were run on SIEG 3/10/0010 CNC end milling machine. After each experiment the cutting tool was measured using scanning electron microscope (SEM). The obtained optimum machining parameter combination are spindle speed of 2500 rpm, feed rate of 200 mm/min, axial depth of cut of 20 mm, and radial depth of cut 1.0mm was found out to achieved the minimum tool wear as 0.213 mm. The mathematical model developed predicted the tool wear with 99.7% which is within the acceptable accuracy range for tool wear prediction.

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Section: Introductionmentioning

confidence: 99%

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

et al. 2017

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“…By reducing the nose radius of the tool, and geometrical modifications, the amount of adhered material can be brought down. Investigations have to be carried out in this direction by changing the tool geometry for MQL conditions [11]. and 1000 m min −1 .…”

Section: Tool Wearmentioning

confidence: 99%

An experimental investigation of effect of minimum quantity lubrication in machining 6082 aluminum alloy

YIGIT¹

2021

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In the recent years a lot has been done to avoid the cutting fluids from the production. Dry cutting and semi-dry cutting such as minimum quantity lubrication (MQL) have been favored by the industry. However, one of the main limitations in the application of MQL is that the full mechanism has not yet been fully understood. This paper presents the effects of MQL on the turning performance of aluminum alloy 6082 as compared to completely dry and wet machining in terms of tool wear, surface roughness and cutting forces. It was also seen from the results that the substantial reduction in tool wears resulted in enhanced tool life and surface finish. Furthermore, MQL provides environment friendliness (maintaining neat, clean and dry working area, avoiding inconvenience and health hazards due to heat, smoke, fumes, gases, etc., and preventing pollution of the surroundings), and improves the machinability characteristics.K e y w o r d s : machining, MQL, tool wear

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“…The cutting fluid improves the tool life, surface conditions of the work-piece and the process as a whole. It also helps in carrying away the heat and the debris produced during the machining [2].…”

Section: Introductionmentioning

confidence: 99%

“…12,19210 Bor, Serbia 2 Faculty of Mechanical Engineering, University of Niš, A. Medvedeva 14, 18000 Niš, Serbia 3 Faculty of Engineering, University of Kragujevac, Sestre Janić 6, 34000 Kragujevac, Serbia…”

mentioning

confidence: 99%

Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature

Tanikić¹,

Marinković²,

Manić³

et al. 2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The heat produced in metal cutting process has negative influence on the cutting tool and the machined part in many aspects. This paper deals with measurement of cutting temperature during single-point dry machining of the AISI 4140 steel, using an infrared camera. Various combinations of cutting parameters, i.e. cutting speed, feed rate and depth of cut lead to different values of the measured cutting temperature. Analysis of the measured data should explain the trends in temperature changes depending on changes in the cutting regimes. Furthermore, the temperature data is modelled using response surface methodology and fuzzy logic. The models obtained should determine the influence of cutting regimes on cutting temperature. The main objective is the reduction of cutting temperature, i.e. enabling metal cutting process in optimum conditions. Key words: machining, cutting temperature, infrared thermography, response surface methodology, fuzzy logic.Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature Total amount of heat produced in metal cutting process can be calculated as a sum of heat produced by the three mentioned sources:where: Q -total amount of generated heat, Q S 1 -amount of heat generated by heat source S 1 , Q S 2 -amount of heat generated by heat source S 2 , Q S 3 -amount of heat generated by heat source S 3.The heat balance during metal cutting process can be expressed as follows:where: Q 1 -amount of heat carried away in the chips, Q 2 -amount of heat remaining in the cutting tool, Q 3 -amount of heat passing into the work-piece, Q 4 -amount of heat radiated to the surrounding air.

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Machining of 6061 aluminium alloy with MQL, dry and flooded lubricant conditions

Cited by 188 publications

References 5 publications

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

An experimental investigation of effect of minimum quantity lubrication in machining 6082 aluminum alloy

Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature

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