Experimental Study on Generation Mechanism and Influencing Factors of Metal Machining Fluid Oil Mist Microparticles

Li, Changhe; Zhao, Hua-Yang; Jia, Dongzhou; Zhang, Dongkun; Hou, Yu

doi:10.14257/ijca.2014.7.7.35

Cited by 5 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cost encountered in flood machining conditions (inventory, maintenance, preparation, disposal of chips and fluids) is much more than MQL costing. Literature found that almost 15-20 % of the overall machining cost is incurred for coolants and lubricants in industries [9][10][11][12]. According to DeVries et al, [13] among total operation costs, 8-16% of costing is related to metalworking fluids, and MQL significantly reduces these costs as in MQL, there is no cost for drying the chips and cleaning the workpiece and chips.…”

Section: Introductionmentioning

confidence: 99%

Effects of Minimum Quantity Lubrication Technique in Different Machining Processes - A Comprehensive Review

Urmi

Rahman

Safiei

et al. 2022

ARFMTS

View full text Add to dashboard Cite

The cooling condition has a significant effect in the metal cutting industry, which has a crucial role in cooling and lubricating the workpiece-tool interface, reducing friction, and removing chips from the cutting area. Almost 15-20% of the overall machining cost was incurred from cooling and lubrication. So, the considerable cost can be occurred due to the supply, preparation, and disposal of cooling lubricants. Moreover, exposure to these substances can pollute the environment and hamper operators' health. Therefore, of late, researchers have been giving priority to investigate the effects of the Minimum Quantity Lubrication (MQL) techniques in machining as it alleviates the coolant usage by splashing fluid and compressed air mixtures. In this lubrication technique, the maximum fluid flow is less than 50ml/h, whereas flooded cooling technology uses up to 12,000 litres per hour. Most researchers found that a lower coefficient of friction, better surface finish, reduced cutting forces, and torques can be obtained using the MQL method in an optimized manner compared to dry and wet machining. Moreover, besides improving machinability characteristics, the MQL technique also complies with green and sustainable machining. Thus, a prospective solution to dry and wet processing. This paper represents the brief discussion and mechanism of the MQL technique and the effects of the MQL technique on the performance parameters of different machining processes.

show abstract

Section: Introductionmentioning

confidence: 99%

Effects of Minimum Quantity Lubrication Technique in Different Machining Processes - A Comprehensive Review

Urmi

Rahman

Safiei

et al. 2022

ARFMTS

View full text Add to dashboard Cite

show abstract

“…Besides environmental and health issues, the costs associated with the applications, storage and disposal of cutting fluids are also a concern. About 15-20 % of the overall machining costs are related to cooling and lubricating fluids [29][30][31][32]. Most of the research studies involving machining with MQL, as a cutting medium, have been mainly concerned with the turning, drilling and grinding process.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on the performance of the TiO2 and ZnO hybrid nanocoolant in ethylene glycol mixture towards AA6061-T6 machining

Sahid¹,

Rahman²,

Kadirgama³

et al. 2017

Int. J. Automot. Mech. Eng.

View full text Add to dashboard Cite

This paper presents an experimental investigation on the coated carbide cutting tool performance of aluminium alloy AA6061-T6 machining through end mill processes using the minimum quantity lubrication (MQL) technique. The process parameters including the cutting speed, depth of cut and feed rate are selected. The effect of the base fluid ratio (water: EG) to the hybrid nanocoolant was investigated in this experiment. The hybrid nanocoolant with 80:20 of volume concentration up to 0.1% was prepaid with a 21 nm particle size of TiO2 and 10-30 nm ZnO nanoparticle for measurement purposes and tested at cnc end milling machines. The analysis of the variance method is utilised to validate the experimental data and to check for adequacy. The response surface method was used to develop the mathematical models and to optimise the machining parameters. It is observed that the material removal rate depends significantly on the depth of cut and feed rate, followed by the spindle speed. The results can be used as an example of the minimum quantity lubricants (MQL) technique applied to the machining of aluminium alloys, providing economic advantages in terms of reduced the machining costs and better machinability.

show abstract

“…MQL is a sustainable manufacturing technique that is safe for the environment and the worker and is cost effective [2][3][4][5]. The cost of cutting fluids range from 7 to 17% of the total machining cost while another estimate gives this cost as 15-20 % of total machining cost compared to the tool cost which ranges from 2 to 4% [6][7][8][9][10][11]. Therefore minimization of metal working fluids can serve as a direct indicator of sustainable manufacturing.…”

Section: Introductionmentioning

confidence: 99%

“…Besides environmental and health issues, costs associated with the applications, storage and disposal of cutting fluids are also a concern. About 15 % -20 % of the overall machining costs are related to cooling and lubricating fluids [5,8,32]. The annual global consumption of cutting fluids by the year 2007 was 640 million gallons [4].…”

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.

View full text Add to dashboard Cite

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.

show abstract

Experimental Study on Generation Mechanism and Influencing Factors of Metal Machining Fluid Oil Mist Microparticles

Cited by 5 publications

References 22 publications

Effects of Minimum Quantity Lubrication Technique in Different Machining Processes - A Comprehensive Review

Effects of Minimum Quantity Lubrication Technique in Different Machining Processes - A Comprehensive Review

Experimental investigation on the performance of the TiO2 and ZnO hybrid nanocoolant in ethylene glycol mixture towards AA6061-T6 machining

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

Contact Info

Product

Resources

About