Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi‐Based Response Surface Methodology

Manoharan, Madhanagopal; Kulandaivel, Arul; Arunagiri, A.; Refaai, Mohamad Reda A.; Yishak, Simon; Buddharsamy, Gowthaman

doi:10.1155/2021/6843276

Cited by 16 publications

(5 citation statements)

References 24 publications

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“…Grey Taguchi-based Response Surface Methodology (GT-RSM) is employed to analyze responses [23], including wear volume stabilization and the coefficient of friction. This analysis involves varying input process parameters such as track diameter, normal load, and sliding speed.…”

Section: Grey Taguchi-based Response Surface Methodologymentioning

confidence: 99%

Prediction of wear volume and friction coefficients of SS304 alloy using grey taguchi-based response surface methodology

Ponnuswamy,

Manoharan

2024

Mater. Res. Express

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The present investigation is centered on examining the tribological characteristics within a pin-on-disk configuration resembling a cylinder on a flat contact surface. The pin, constructed from Stainless Steel 304 alloy, underwent sliding experiments under varying speeds (1, 2, and 3 m/s) and normal loads (10, 15, and 20 N) across track diameters of 60 and 120 mm. The experiments aimed to mitigate wear and friction in movable components, thus conducted for up to 2000 seconds in the experimental setup without any lubrication. Observations of the coefficients of friction stabilization and wear rate were made by manipulating the input parameters to anticipate the failure range. Higher coefficients of friction and increased wear rates were noted at lower sliding speeds, with wear rates stabilizing at higher speeds. Interestingly, despite a higher coefficient of friction stabilization and wear rate at a 120 mm track diameter, wear decreased. Optical Microscopy studies were carried out to examine surface damage for all normal loads and sliding speeds using both 60 mm and 120 mm track diameters. Additionally, this study employs Grey Taguchi-based Response Surface Methodology (GT-RSM) to forecast and regulate wear and friction. The findings of this study have practical implications for industries such as automotive, aerospace, and others employing SS 304 alloys in their operational components.

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Section: Grey Taguchi-based Response Surface Methodologymentioning

confidence: 99%

Prediction of wear volume and friction coefficients of SS304 alloy using grey taguchi-based response surface methodology

Ponnuswamy,

Manoharan

2024

Mater. Res. Express

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“…The same procedure is repeated again to machine the work piece. The material Removal Rate (MRR) can be calculated using the time and weight noted during the machining of work piece [9]. Equation 1 provides the information to calculate the material removal rate in this experimental study.…”

Section: Experimentationmentioning

confidence: 99%

Investigation on Influence of Die Electric Medium in Electrical Discharge Machining of Monel 400 Alloy

Manoharan,

Perumal,

Ajithram

et al. 2024

AMM

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Electrical Discharge Machining (EDM) is a non-conventional thermal energy based erosive process, which primarily applied for machining hard materials. Material Removal Rate (MRR) and surface roughness are the response parameters used to characterize the dielectric nature of the machined surface in EDM process. Addition of ingredients in the dielectric fluid improves the properties of fluid for better machining of the samples. The dielectric fluid medium plays a key role in controlling the electrical discharge and heat absorption, thereby removes the debris and cools the work piece during the machining process. In the current study, comprehensive work is done by investigating the effect of different dielectric fluid medium on machining parameters of EDM process with the addition of different powders in the dielectric fluid, which results in high precise and better topography in the machined part surface. Addition of powders such as Titanium (Ti), Silicon (Si), Graphite (Gr), Copper (Cu) and Aluminium Oxide (Al2O3) in dielectric fluid increases the convection property in the work piece tool interaction with increase in the micro-hardness of material. This work analyses the performance study of Electrical Discharge Machining (EDM) of Monel 400 alloys, which can be improved by adding metallic powder into the dielectric medium. Material Removal Rate (MRR) is measured in the samples machined out of EDM process. In addition, Taguchi L27 Orthogonal Array is formulated for conducting machining in a sequential order to understand the implications of machined process parameters on the material removal rate over different dielectric mediums. It is found that the Aluminium oxide, graphite powder mix with EDM oil gives better material removal rate and less machining time. Furthermore, the introduction of Cu powders in the dielectric fluid provides better machinability response parameters. But it is preferable to parts with high slenderness ratio especially holes.

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“…The study attempted to obtain parameter combination levels for minimum surface roughness and maximum removal rate during the turning of American iron and steel institute (AISI 304) hardened steel. Manoharan et al [5] successfully employed grey Taguchi based response surface methodology to model the machinability characteristics of coated carbide tools and effect of process parameters on machinability. Thus, attained with optimum process parameter levels to achieve minimum cutting force with maximum material removal rate.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Various coating materials utilized extensively over tool materials in the past years were nitride and carbide of titanium, zirconium nitrides, titanium aluminium nitride etc. [5]. The primary reason is their superior stable hardness at elevated temperature, subsequently exhibiting excellent machining performance characteristics.…”

mentioning

confidence: 99%

Performance test of coated HSS tool with respect to thrust force, torque and surface integrity on customized EN8 specimen

2023

IJATEE

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Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi‐Based Response Surface Methodology

Cited by 16 publications

References 24 publications

Prediction of wear volume and friction coefficients of SS304 alloy using grey taguchi-based response surface methodology

Prediction of wear volume and friction coefficients of SS304 alloy using grey taguchi-based response surface methodology

Investigation on Influence of Die Electric Medium in Electrical Discharge Machining of Monel 400 Alloy

Performance test of coated HSS tool with respect to thrust force, torque and surface integrity on customized EN8 specimen

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