Machinability Research on the Micro-Milling for Graphene Nano-Flakes Reinforced Aluminum Alloy

Na, Hao-Bo; Xu, Lin-Hong; Han, Guangchao; Liu, Shao-Kang; Lu, Luhua

doi:10.3390/met9101102

Cited by 12 publications

(7 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The type of reinforcements and volume fraction were observed to have influenced the chip morphology. The graphene and CNT reinforcements displayed a considerable variation in chip morphology Na et al (2019). observed that, when the graphene content increases the chip formation changes from discontinuous to continuous.…”

mentioning

confidence: 89%

“…To modify the ductility and toughness of the traditional MMCs, an innovative material called MMNCs, is produced by adding nano size reinforcing particles (Poovazhagan et al, 2013). MMNC have great demand compared to conventional MMCs in the similar application ranges wherever a lesser mass owes to decrease the requirement of power and enhanced properties (Agarwal et al, 2019;Bakshi and Agarwal, 2011;Na et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Agglomeration of the reinforcement particles and porosity in the composite affect the surface quality and tool wear (Pul, 2019). Self-lubricating property of the reinforcements like graphene minimise the surface roughness and its presence reduce the tool wear (Agarwal et al, 2019;Na et al, 2019). Dong et al (2020) mentioned that the addition of graphene improves the machinability of the Al7075/graphene composite.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Machinability studies on Al7075-based hybrid composites reinforced with SiC, graphene and CNT

Ajithkumar¹,

Xavior²

2021

IJMMM

View full text Add to dashboard Cite

This experimental study analyses the machinability of two composites namely: 1) Al7075-10%SiC-0.1% grapheme; 2) Al7075-10%SiC-0.1% CNT by turning process using uncoated and diamond-like carbon (DLC) coated carbide inserts. Composites were fabricated through united stir and squeeze casting process with ultra-sonification. The effect of graphene and CNT on cutting force, surface roughness, flank wear, crater wear and chip morphology were quantified and presented. Graphene-based composite, recorded the highest cutting force (383.4 N) followed by . Higher surface roughness (0.8519 µm) was observed in CNT-based composite and least in (0.4428 µm) graphene-based. CNT-based composite recorded the highest flank wear (0.3544 mm) and graphene-based observed the least flank wear (0.2253 mm). It was also noted that the presence of graphene showed more influence in the chip morphology. Further, the effect of graphene and CNT reinforcements on the micro-structural properties were also investigated.

show abstract

mentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machinability studies on Al7075-based hybrid composites reinforced with SiC, graphene and CNT

Ajithkumar¹,

Xavior²

2021

IJMMM

View full text Add to dashboard Cite

show abstract

“…This can be accredited to its flaky nature that has inherited the particle movement that lacked in providing better berth during lubrication. 37…”

Section: Force Components Fx Fy and Fz And Their Interaction With Inp...mentioning

confidence: 99%

Application of tri-hybridized carbonaceous nanocutting fluids in an end milling operation by the minimum quantity lubrication technique

Vignesh

Iqbal

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

View full text Add to dashboard Cite

This paper is concentrated on the exploration of carbonaceous nanocutting fluids with the concept of tri-hybridization with improved lubricative and cooling properties by using multi-walled carbon nanotubes, hexagonal boron nitride , and graphene nanoparticles with neat cold-pressed coconut oil in a fixed volumetric proportion. The rheological properties of the nanofluids were studied to assess their performance in real-time end milling operations using an AA7075 work piece on a CNC lathe machine under a minimum quantity lubrication environment. At the outset, the carbonaceous nanofluids gave good performance when compared to conventional cutting fluids. Furthermore, the surfaces of the tribo-pairs and the chips formed were analyzed using a profilometer and high-end microscopes. The results obtained from the experiments confirm that the tri-hybridized carbonaceous nanolubricant has reduced the cutting force, tool wear, and surface roughness when correlated to monotype nanofluids. The scanning electron microscope images of the surface and tool were studied and it was found that the surface quality was maintained while end milling with tri-hybridized carbonaceous nanofluid. Improvement of ∼17%, 20% and 25% in cutting forces, surface roughness and tool wear was found in tri-hybrid fluid when compared to other fluids. Thus, the present work indicates that the addition of carbon-based nanoparticles with coconut oil has offered better performance and is found to be a credible alternative to existing conventional cutting fluids.

show abstract

“…They found that the presence of the GNPs in Mg-nanocomposite reduces the friction between the cutting tool and nanocomposite due to the lubricant effect of graphene resulting in decreasing cutting force. Na et al [ 26 ] performed the micromachining of the graphene nano-flakes (GNF) reinforced aluminum nanocomposite. The effect of feed rate and GNF contents on milled surface morphology, force component, and chip formation were investigated.…”

Section: Introductionmentioning

confidence: 99%

Milling of Graphene Reinforced Ti6Al4V Nanocomposites: An Artificial Intelligence Based Industry 4.0 Approach

et al. 2020

View full text Add to dashboard Cite

The studies about the effect of the graphene reinforcement ratio and machining parameters to improve the machining performance of Ti6Al4V alloy are still rare and incomplete to meet the Industry 4.0 manufacturing criteria. In this study, a hybrid adaptive neuro-fuzzy inference system (ANFIS) with a multi-objective particle swarm optimization method is developed to obtain the optimal combination of milling parameters and reinforcement ratio that lead to minimize the feed force, depth force, and surface roughness. For achieving this, Ti6Al4V matrix nanocomposites reinforced with 0 wt.%, 0.6 wt.%, and 1.2 wt.% graphene nanoplatelets (GNPs) are produced. Afterward, a full factorial approach was used to design experiments to investigate the effect of cutting speed, feed rate, and graphene nanoplatelets ratio on machining behaviour. After that, artificial intelligence based on ANFIS is used to develop prediction models as the fitness function of the multi-objective particle swarm optimization method. The experimental results showed that the developed models can obtain an accurate estimation of depth force, feed force, and surface roughness with a mean absolute percentage error of 3.87%, 8.56%, and 2.21%, respectively, as compared with experimentally measured outputs. In addition, the developed artificial intelligence models showed 361.24%, 35.05%, and 276.47% less errors for depth force, feed force, and surface roughness, respectively, as compared with the traditional mathematical models. The multi-objective optimization results from the new approach indicated that a cutting speed of 62 m/min, feed rate of 139 mm/min, and GNPs reinforcement ratio of 1.145 wt.% lead to the improved machining characteristics of GNPs reinforced Ti6Al4V matrix nanocomposites. Henceforth, the hybrid method as a novel artificial intelligent method can be used for optimizing the machining processes with complex relationships between the output responses.

show abstract

Machinability Research on the Micro-Milling for Graphene Nano-Flakes Reinforced Aluminum Alloy

Cited by 12 publications

References 40 publications

Machinability studies on Al7075-based hybrid composites reinforced with SiC, graphene and CNT

Machinability studies on Al7075-based hybrid composites reinforced with SiC, graphene and CNT

Application of tri-hybridized carbonaceous nanocutting fluids in an end milling operation by the minimum quantity lubrication technique

Milling of Graphene Reinforced Ti6Al4V Nanocomposites: An Artificial Intelligence Based Industry 4.0 Approach

Contact Info

Product

Resources

About