Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel

Abbas, Adel T.; Gupta, Munish Kumar; Soliman, Mahmoud S.; Mia, Mozammel; Hegab, Hussein; Luqman, Monis; Pimenov, Danil Yurievich

doi:10.1007/s00170-019-04325-6

Cited by 136 publications

(39 citation statements)

References 39 publications

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“…To sum up, the integrated approach showed effective capabilities to provide the optimal solution (optimal cutting conditions) which achieved a reasonable balance among all studied responses when machining Ti-6Al-4V. This is an important step towards a reliable machining system as obtained in the open literature [24][25][26].…”

Section: Results Validationmentioning

confidence: 76%

Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach

et al. 2020

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Titanium alloys are widely used in various applications including biomedicine, aerospace, marine, energy, and chemical industries because of their superior characteristics such as high hot strength and hardness, low density, and superior fracture toughness and corrosion resistance. However, there are different challenges when machining titanium alloys because of the high heat generated during cutting processes which adversely affects the product quality and process performance in general. Thus, optimization of the machining conditions while machining such alloys is necessary. In this work, an experimental investigation into the influence of different cutting parameters (i.e., depth of cut, cutting length, feed rate, and cutting speed) on surface roughness (Rz), flank wear (VB), power consumption as well as the material removal rate (MRR) during high-speed turning of Ti-6Al-4V alloy is presented and discussed. In addition, a backpropagation neural network (BPNN) along with the technique for order of preference by similarity to ideal solution (TOPSIS)-fuzzy integrated approach was employed to model and optimize the overall cutting performance. It should be stated that the predicted values for all machining outputs demonstrated excellent agreement with the experimental values at the selected optimal solution. In addition, the selected optimal solution did not provide the best performance for each measured output, but it achieved a balance among all studied responses.

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Section: Results Validationmentioning

confidence: 76%

Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach

et al. 2020

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“…MQL is the possible substitute to the conventional cooling technology. It also offers a choice for the manufacturer where dry machining is not applicable, particularly when machining efficacy and superior quality of the cutting area is a primary concern [31,67]. In addition, nanoparticles and nanoplatelets diffused in the MQL base fluid might be a useful technique to minimize friction throughout the machining process [68].…”

Section: Performance Of Nanofluid In Mql Assisted Machiningmentioning

confidence: 99%

Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing

Sen

Mia

Królczyk

et al. 2019

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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207

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In modern days, the conception of sustainability has progressively advanced and has begun receiving global interest. Thus, sustainability is an imperative idea in modern research. Considering the recent trend, this review paper presents a summary of the previously published research articles on minimum quantity lubrication (MQL) assisted machining. The requirement to stir towards sustainability motivated the researchers to revise the effects of substitute lubrication methods on the machining. Conventional lubri-cooling agents are still extensively employed when machining of engineering alloys, but the majority of the recent papers have depicted that the utilization of vegetable oil, nanofluids, and nanoplatelets in MQL system confers superior machining performances as compared to conventional lubrication technology. In actual, the definite principle of this manuscript is to reexamine modern advancements in the MQL technique and also explore the benefits of the vegetable oil and nanofluid as a lubricant. In brief, this paper is a testimony to the advancing capabilities of eco-friendly MQL technique which is a viable alternative to the flood lubrication technology, and the outcomes of this review work can be contemplated as a movement towards sustainable machining.

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“…The innovation and development of machining triggered research on machining with minimum energy consumption and production at lowest cost [60]. Conventional cutting fluid replaced with nanofluid is one of the steps to reduce the machining cost.…”

Section: Costing Analysismentioning

confidence: 99%

Nanofluid as an Alternative Coolant in Machining: A Review

Kadirgama¹

2020

ARFMTS

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This review paper is concerned about the important of nanofluid in machining. It is discussed in several parts such as cutting force, surface roughness, tool life and tool wear. Various type of nanofluid is discussed in this paper with an effect on the surface roughness, force, tool life, and wear. Nanofluid plays a significant role in the increment of tool life and reducing tool wear. Nanofluid creates an artificial layer on top of the workpiece, and this reduces wear at the cutting tool. It seems that nanofluid can be the next alternative coolant in machining.

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Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel

Cited by 136 publications

References 39 publications

Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach

Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach

Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing

Nanofluid as an Alternative Coolant in Machining: A Review

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