Analysis of Machining Behavior of Al/A206-Al 2 O 3 Metal Matrix Composite Using End Milling Process

Parashar, Vishal; Purohit, Rajesh

doi:10.1016/j.matpr.2017.02.144

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…Material preparation is conducted through stir casting process; the particles were reinforced at the time of stir casting [16][17][18]. Stir casted materials are machined through CNC turning using Diamond-Like Carbon-(DLC-) coated tungsten carbide tool [19][20][21]. CNC turning process is achieved by using different parameters applying L 27 orthogonal array (Taguchi route).…”

Section: Methodsmentioning

confidence: 99%

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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Section: Methodsmentioning

confidence: 99%

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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“…Also, beyond 12.5% SiC, particles result in poor surface and more cutting energy. Parashar and Purohit [13] attempted mechanical characterization and end milling of Al/A206/Al 2 O 3 (2, 4, 6%) composite. The hardness of the composite increases and wear decreases with the reinforcement fraction.…”

Section: Research Backgroundmentioning

confidence: 99%

“…Conventional machining processes such as turning, drilling, or milling can be applied to composite materials, provided proper tool design and operating conditions are adopted. The weak machinability of AMC results in less material removal rate (MRR) and more cutting action/ time, therefore more energy consumption [12,13]. Hence, the present research is focused to plug the gap and analyze the energy consumption in the end milling of composite.…”

Section: Motivation For the Researchmentioning

confidence: 99%

Effect of machining parameters on surface roughness and energy consumption during end milling of stir cast Al-4032/6%SiC composite

Saini¹,

Singh²

2022

Surf. Topogr.: Metrol. Prop.

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The machining of metal matrix composite (MMC) presents a significant challenge to the industry. The hard and abrasive nature of the reinforcement causes rapid tool wear and high machining cost. In the present research, Al-4032 based composite with 6% of SiC by weight has been fabricated by stir casting setup. Optical micrographs (OM) and scanning electron microscopy (SEM) with energy dispersive x-ray analysis (EDXA) have been used for the examination of the composite morphological, surface topography, and fracture behavior. Mechanical characterization i.e., testing of the composite for tensile strength, micro-hardness and impact strength has also been carried out. Cutting speed, feed rate and depth of cut are the cutting parameters selected to examine the responses—surface finish and energy consumption. The response surface methodology (RSM) based desirability approach has been employed to obtain the best combination of parameters for achieving the desired objectives. The result established that the inclusion of SiC in the base matrix demonstrates improved mechanical properties and a better-machined surface with optimized machining parameters. Multi-response optimization shows that the minimum surface roughness (0.99 μm) and minimum energy consumption (0.17 kWh) during end milling of Al-4032/6%SiC composite have been achieved at cutting speed 199 m min−1, feed rate 500 mm min−1 and depth of cut 0.50 mm. The confirmation experiments show good agreement between the predicted and measured responses.

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“…Parashar and Purohit 63 prepared the Al/A206-Al 2 O 3 composite through stir casting to evaluate the machining behaviour using the milling process. Rockwell hardness test was carried out to evaluate the hardness.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of the mechanical properties of aluminium metal matrix composite: A review

Maurya¹,

Kumar²,

Bajpai

2018

Journal of Reinforced Plastics and Composites

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In the present scenario, composites are in huge demand in the industries due to their light weight, wear resistance, stiffness and high strength. The functional and structural properties were improved according to the need of industry. Particulate reinforcement is one of the methods to enhance the strength, ductility and toughness of the composites. Stir casting or friction stir processing technique was used to fabricate the metal matrix composite. For technology seekers it is very difficult to select appropriate techniques because there is lack of bench mark standards and industry experiences. The novel contribution of this paper is to provide systematic approaches and methodology which enable academic user as well as industry persons to select appropriate method and parameters for the fabrication of the metal matrix composite. This study guides the new researchers to fabricate and characterize the mechanical properties of aluminium-based composites reinforced with Al2O3, B4C, SiC, TiC, graphite and TiB2 particles.

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Analysis of Machining Behavior of Al/A206-Al 2 O 3 Metal Matrix Composite Using End Milling Process

Cited by 8 publications

References 8 publications

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

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

Effect of machining parameters on surface roughness and energy consumption during end milling of stir cast Al-4032/6%SiC composite

Assessment of the mechanical properties of aluminium metal matrix composite: A review

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Analysis of Machining Behavior of Al/A206-Al 2 O 3 Metal Matrix Composite Using End Milling Process

Cited by 8 publications

References 8 publications

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

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

Effect of machining parameters on surface roughness and energy consumption during end milling of stir cast Al-4032/6%SiC composite

Assessment of the mechanical properties of aluminium metal matrix composite: A review

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

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