Optimization of surface integrity in face milling of AISI 52,100 alloy steel using Taguchi based grey relational analysis

Rana, Mohit; Singh, Talvinder; Sharma, Vijay Kumar; Saini, Abhineet; Singh, Jaswinder

doi:10.1016/j.matpr.2021.09.430

Cited by 13 publications

(4 citation statements)

References 12 publications

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“…Different methods of experimental design have been used in various studies, such as orthogonal array based on Taguchi [3], [12], [20], [21], factorial design [22], central composite design [22]- [24], response surface methodology [23], [25], [26] and D-optimal design [27]. One of the drawbacks of full factorial design is that it requires a large number of trials, which can be costly and time consuming [3].…”

Section: Influence Of Welding Parameters On Strength Of Metalmentioning

confidence: 99%

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Obura,

Mayaka,

Ondieki

2024

IJCE

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Purpose: MIG welding is a type of arc welding that uses a continuous solid wire electrode and a shielding gas to join two metals by heating them with an electric arc. Process parameters including current, voltage, preheat temperature and post-weld heat treatment were studied. Then, optimize process parameters of experiments done in previous work using a Taguchi Orthogonal Array (L27) design. Methodology: A grey based Taguchi method is used to optimize the process parameters. The analysis of variance (ANOVA) is applied to assess the significance of the input parameters on the response parameters. A mathematical model is developed using multiple linear regression equations. Findings: Results of this research show that it is possible to get higher strengths of weld joints using Taguchi design. Increasing current (I) and post-weld heat treatment temperature (PWT) increases strength of the studied welded joints, and vice versa. Unique contribution to theory, policy and practice: Future research should validate the findings of the current research through experimental investigations.

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Section: Influence Of Welding Parameters On Strength Of Metalmentioning

confidence: 99%

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Obura,

Mayaka,

Ondieki

2024

IJCE

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“…Bouacha et al [ 24 ] analyzed surface roughness and cutting force in the hard turning of AISI 52100 using the CBN tool. Rana et al [ 25 ] evaluated the surface integrity of AISI 52100 bearing steel in machining. Cutting parameters were evaluated under the MQL cooling condition using a tungsten carbide tool.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel

et al. 2023

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In this study, a comparison of measured cutting parameters is discussed while machining AISI 52100 low-alloy hardened steel under two different sustainable cutting environments, those in which a dry and minimum quantity lubrication (MQL) medium are used. A two-level full factorial design method has been utilized to specify the effect of different experimental inputs on the turning trials. Experiments were carried out to investigate the effects of three basic defining parameters of turning operation which are namely cutting speed, cutting depth, feed rate effects and also the effects of the cutting environment. The trials were repeated for the combination of different cutting input parameters. The scanning electron microscopy imaging method was used to characterize the tool wear phenomenon. The macro-morphology of chips was analyzed to define the influence of cutting conditions. The optimum cutting condition for high-strength AISI 52100 bearing steel was obtained using the MQL medium. The results were evaluated with graphical representations and they indicated the superiority of the pulverized oil particles on tribological performance of the cutting process with application of the MQL system.

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“…Therefore, the best machined surface quality attaining in machining process is a big challenge. Rana et al [8] reported that the optimal machined surface quality and microhardness of AISI 52,100 alloy steel attained in face milling operation by using Taguchi method to identify an optimal parameter set which is composed of cutting velocity, feed rate, lubricant gathering and flow rate.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on the Impact of Minimum Quantity Lubrication Surroundings on the Machined Surface Quality during AISI 1050 Steel Circular Pocket Milling

Trung,

Phuc

2023

Preprint

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AISI 1050 steel circular pocket milling under minimum quantity lubrication (MQL) surroundings including nozzle elevation angle, lubricant flow rate, air pressure and cutting speed was studied. The machined surface quality (Ra) was evaluated for Up-milling side and Down-milling side. In this study, to obtain an manifest explanation on the pivotal effective parameters of MQL surroundings and cutting speed on the machined surface quality (Ra) through analyzing Taguchi L9 (34-2) approach and ANOVA calculation to identify those parameters, by utilizing the experimental outcomes to interpret three-dimensional (3D) surface plots and the diagrams of Signal-to-Noise ratios and major impact plots of Mean. The obtained outcomes of optimal operating parameters indicated that the pivotal effective parameters of MQL surroundings are nozzle elevation angle and lubricant flow rate on the machined surface quality. Simultaneously, a quadratic mathematical paradigm generated by using response surface design (RSD) and desirableness function evaluation were utilized to forecast the optimal values of the machined surface quality compared to Taguchi method. The results unveiled that the optimal values of the machined surface quality are adjacent to experimental attained values. The machined surface quality has been significantly improved using MQL surroundings.

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Optimization of surface integrity in face milling of AISI 52,100 alloy steel using Taguchi based grey relational analysis

Cited by 13 publications

References 12 publications

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel

An Experimental Study on the Impact of Minimum Quantity Lubrication Surroundings on the Machined Surface Quality during AISI 1050 Steel Circular Pocket Milling

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