Experimental investigation on surface roughness, tool wear and cutting force in turning of hybrid (Al7075 + SiC + Gr) metal matrix composites

Kannan, Arunachala Mada; Mohan, Rakesh; Viswanathan, R.; Sivashankar, N.

doi:10.1016/j.jmrt.2020.11.074

Cited by 34 publications

(18 citation statements)

References 38 publications

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“…Generally, most of the metals are considered as homogeneous, whereas composites are inhomogeneous, due to the inclusion of other materials [29]. These additions, which have properties that differ from those of the base metal, change the machining behavior of the composite.…”

Section: Introductionmentioning

confidence: 99%

“…An analysis of variance (ANOVA) technique was used to check the contribution of selected EDM machining parameters. Silicon carbide always enhances the hardness of a composite material, whereas graphite improves the self-lubricating power of a composite material [29,30]. Therefore, the machinability of a composite material is different from that of the other metals.…”

Section: Introductionmentioning

confidence: 99%

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An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Singh

Garg

Maharana

et al. 2021

Metals

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The objective of this paper was to determine the optimum process parameters of an electric discharge machine while machining a new hybrid aluminum metal matrix composite. In this study, a new hybrid aluminum metal matrix composite was prepared, with silicon carbide and graphite particles used as reinforcements, with the help of the stir casting method. The selected electric discharge machining parameters in this study were peak current (I), voltage (V), pulse-on time (Ton), and tool material, while the response parameters were material removal rate and surface roughness. To machine the fabricated samples, two different types of tool materials (copper and brass) were used as electric discharge machine electrodes, and each had a diameter (Ø) of 12.0 mm. The optimal settings of the electric discharge machining parameters were determined through experiments planned, conducted, and analyzed using the Taguchi (L18) technique. An analysis of variance and confirmatory tests were used to check the contribution of each machining parameter. It was found that the material removal rate increased with the increase in pulse-on time and pulse current, whereas the material removal rate decreased with the increase in voltage. On the other hand, reduced surface roughness could only be achieved when current, voltage, and pulse duration were low. It was also found that the selected electric discharge machining electrodes had a significant effect on both the material removal rate and the surface roughness.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Singh

Garg

Maharana

et al. 2021

Metals

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“…Various parameters influencing the CNC turning process decided the surface finish and the MRR. This work concluded the 40 m/min of spindle speed, 0.100 mm/rev of feed rate, 0.3 mm of depth of cut, and 3% SiC, 7% Gr were recorded as optimal parameters [6]. The tungsten carbide inserts are effectively used in the CNC turning process; aluminium alloy (LM6) with silicon carbide particles reinforced composites are machined successfully.…”

Section: Introductionmentioning

confidence: 94%

Synthesis of AA8050/B₄C/TiB₂ Hybrid Nanocomposites and Evaluation of Computer‐Aided Machining Parameters

Sathish

Mohanavel

Raja

et al. 2022

Journal of Nanomaterials

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This research focusses on synthesizing the hybrid nanocomposite samples with AA8050 and the reinforcement of B4C and TiB2 nanoparticles at 3 different quality grades. To investigate their machinabilities on the prepared composites in the computer-aided machining centre, the objectives are maximizing the material removal rate (MRR) and minimizing the surface roughness for a specific application. Stir casting process was employed in synthesizing the hybrid nanocomposite samples. Utilizing CNC turning centre was employed to investigate machinability performance on hybrid nanocomposite samples. The PVD-coated HSS tool and dry cutting environment were considered. The quality of machining was investigated by observing the surface roughness on the machined surfaces of samples of hybrid nanocomposite. The machining rate was investigated through the response of material removal rate at as per Taguchi design of experiments L27 orthogonal array. The hybrid nanocomposite synthesizing parameter of contribution of nanoparticle reinforcement (8%, 10%, and 12%) and the Turing parameters include spindle speed (800 rpm, 1000 rpm, and 1200 rpm), machining feed (0.05 mm/rev, 0.10 mm/rev, and 0.15 mm/rev) and depth of cut (0.5 mm, 0.75 mm, and 1 mm). The best performing input levels were identified through Taguchi analysis and the involved input variables were analysed and prediction model developed through ANOVA. The maximum material removal rate and the minimum surface roughness were reordered as 1380 mm3/min.

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“…Tool wear studies were deeply examined and reported by Suresh et al 11 , Kumar and Sehrawat 12 , and Musavi et al 13 . The performance of cutting tool on wear formation and surface roughness was investigated in steel and aluminium composite 14,15 . Low wear rate was achieved in titanium carbide coated based alloy steel.…”

Section: Introductionmentioning

confidence: 99%

Analyze the Effect of Crater Cutting Tool Wear Modeling in the Machining of Aluminium Composite

Nagarajan

Kamalakannan²

2022

Mat. Res.

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The present investigation is used to analyze the effect of crater wear modeling in the machining of aluminium composite. Response surface methodology (RSM) is one of the best optimization technique used to bring out the optimal values of speed, feed and depth of cut for attain minimum surface roughness, cutting tool temperature and tool wear. AA7075 alloy with 15wt% of silicon carbide has been investigated in the dry machining condition. The double layered TiCN/Al 2 O 3 coated tool was preferred. The worn surface analysis in coated tool was concentrated. The outcomes of the machining conditions were expected to improve surface finish. Novel approach of this investigation is to analyze the surface morphology to visualize the surface peak and valley profile of the coated tool and analyzed with various surface parameters that decide the surface roughness of the profile.

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Experimental investigation on surface roughness, tool wear and cutting force in turning of hybrid (Al7075 + SiC + Gr) metal matrix composites

Cited by 34 publications

References 38 publications

An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Synthesis of AA8050/B₄C/TiB₂ Hybrid Nanocomposites and Evaluation of Computer‐Aided Machining Parameters

Analyze the Effect of Crater Cutting Tool Wear Modeling in the Machining of Aluminium Composite

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Experimental investigation on surface roughness, tool wear and cutting force in turning of hybrid (Al7075 + SiC + Gr) metal matrix composites

Cited by 34 publications

References 38 publications

An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Synthesis of AA8050/B4C/TiB2 Hybrid Nanocomposites and Evaluation of Computer‐Aided Machining Parameters

Analyze the Effect of Crater Cutting Tool Wear Modeling in the Machining of Aluminium Composite

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Synthesis of AA8050/B₄C/TiB₂ Hybrid Nanocomposites and Evaluation of Computer‐Aided Machining Parameters