Machining behavior investigation of aluminium metal matrix composite reinforced with TiC particulates

Bhardwaj, Ajay R.; Vaidya, A. M.; Meshram, Pawan D.; Bandhu, Din

doi:10.1007/s12008-023-01378-6

Cited by 16 publications

(2 citation statements)

References 41 publications

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“…Confirmation experiments were run to verify the proposed models' accuracy. The results of the confirmation test demonstrate the validity of the suggested models [35]. The experimental investigation utilized a Taguchi L16 orthogonal array, involving three distinct factors, each with four different levels.…”

Section: Introductionmentioning

confidence: 66%

Investigation on the machinability of Biochar reinforced AA5083 Metal Matrix composites fabricated by stir casting technique

Praveen,

Raja,

Jannet

et al. 2023

Eng. Res. Express

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Over the past two decades, there has been a significant rise in the demand for Aluminum Metal Matrix Composites (AAMCs) due to their notable advantages such as lightweight properties, increased strength, and enhanced hardness. In this study, three distinct AAMC samples based on Al5083 alloy, each varying in reinforcement levels at 4%, 8%, and 12% by weight were used. These composites were produced through a stir-casting process. The biochar used in our research was obtained through a pyrolysis process, adding an environmentally friendly and sustainable aspect to the composite materials. In the machining aspect of the study, A systematic L27 Taguchi Design of Experiment approach was used to investigate the influence of input parameters, namely cutting speed, feed rate, depth of cut, and weight percentage of reinforcement material, on the machining process. Further regression models were developed to gain insights into the relationships between these parameters and the resulting surface roughness. Turning operations at a cutting speed of 1050 rpm, a feed rate of 60 mm, and a depth of cut of 0.75 mm were idle for superior surface roughness and to assess the impact of the reinforcement material on the machined surface.

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Section: Introductionmentioning

confidence: 66%

Investigation on the machinability of Biochar reinforced AA5083 Metal Matrix composites fabricated by stir casting technique

Praveen,

Raja,

Jannet

et al. 2023

Eng. Res. Express

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“…The mechanical properties of Al/SiC composites depend on the size, shape, and uniform distribution of reinforcement within the matrix at different temperatures [12]. Several process parameters significantly affect the Al/SiC composite [13]. Micrographs have shown that SiC particles are uniformly distributed all over the Al2024 matrix, and non-edge porosity can be recognized [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Study the wear behaviour of Al7075/SiC Composite utilizing the grey-based Taguchi technique

Bhowmik,

Kumar,

Venkatesh

et al. 2024

E3S Web Conf.

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Composites are replacing more conventional materials due to their advantageous properties, such as high strength, hardness, low weight, and wear resistance. In this study, the stir casting method is used to create an Al7075/SiC aluminium matrix composite, and its dry sliding wear behaviour is examined. The EDX and SEM results both show that the silicon carbide is evenly distributed throughout the matrix. The dry sliding wear behaviour of the composites is investigated using the Taguchi L16 orthogonal array to reduce the number of experimental runs. Four key process parameters—reinforcement quantity (0%, 3%, 6%, and 9%), load (15N, 30N, 45N, and 60N), sliding velocity (0.75m/s), sliding distance (1.5m/s), and sliding distance (3m/s)—are evaluated across four levels to determine the best parameter combination for reducing wear rate. S/N ratios are best when the following conditions are met: 3 wt.% SiC reinforcement, 15 N load, 3 m/s sliding velocity, and 800 m sliding distance (as shown in the main effect graphic). Wear rate, frictional force, and coefficient of friction are all affected by the four process parameters, and their effects are often studied using analysis of variance (ANOVA). The Analysis of Variance (ANOVA) outcome indicated that the probability value associated with the applied load was below 0.05, signifying statistical significance.

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CFD simulation analysis of a rectangular chambered muffler model for a C.I. engine

Yadav,

Dwivedi,

Kumar

et al. 2023

Int J Interact Des Manuf

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Machining behavior investigation of aluminium metal matrix composite reinforced with TiC particulates

Cited by 16 publications

References 41 publications

Investigation on the machinability of Biochar reinforced AA5083 Metal Matrix composites fabricated by stir casting technique

Investigation on the machinability of Biochar reinforced AA5083 Metal Matrix composites fabricated by stir casting technique

Study the wear behaviour of Al7075/SiC Composite utilizing the grey-based Taguchi technique

CFD simulation analysis of a rectangular chambered muffler model for a C.I. engine

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