Multi-Criteria Optimisation in Drilling of Epoxy/Glass Fabric Hybrid Nanocomposite Using Grey Relational Analysis

Ponnuvel, S.; Moorthy, T.V.

doi:10.4028/www.scientific.net/amm.446-447.172

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…Mathematical models of LM5/ZrO 2 composites for thrust force (TF), surface roughness (SR), and burr height (BH) for an HSS drill are presented in Equations ( 6)- (8). Similarly, the equations developed for carbide and TiN-coated drills are presented in Equations ( 9)-( 11) and ( 12)- (14), respectively.…”

Section: Mathematical Modelsmentioning

confidence: 99%

“…Noorul Haq et al (2008) proposed a comprehensive two-dimensional array with the GRA method for optimising process parameters for drilling Al/SiC composites [7]. Ponnuvel and Moorthy (2014) studied the impact of drilling parameters on hybrid polymer composites (MWCNTs) [8]. Optimal cutting parameters were discovered using GRA while simultaneously addressing the TF, SR, and BH of drilled holes.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Optimization of Machining Parameters for Drilling LM5/ZrO2 Composites Using Grey Relational Analysis

et al. 2023

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In today’s world, engineering materials have changed dramatically. Traditional materials are failing to satisfy the demands of present applications, so several composites are being used to address these issues. Drilling is the most vital manufacturing process in most applications, and the drilled holes serve as maximum stress areas that need to be treated with extreme caution. The issue of selecting optimal parameters for drilling novel composite materials has fascinated researchers and professional engineers for a long time. In this work, LM5/ZrO2 composites are manufactured by stir casting using 3, 6, and 9 wt% zirconium dioxide (ZrO2) as reinforcement and LM5 aluminium alloy as matrix. Fabricated composites were drilled using the L27 OA to determine the optimum machining parameters by varying the input parameters. The purpose of this research is to find the optimal cutting parameters while simultaneously addressing the thrust force (TF), surface roughness (SR), and burr height (BH) of drilled holes for the novel composite LM5/ZrO2 using grey relational analysis (GRA). The significance of machining variables on the standard characteristics of the drilling as well as the contribution of machining parameters were found using GRA. However, to obtain the optimum values, a confirmation experiment was conducted as a last step. The experimental results and GRA reveal that a feed rate (F) of 50 m/s, a spindle speed (S) of 3000 rpm, Carbide drill material, and 6% reinforcement are the optimum process parameters for accomplishing maximum grey relational grade (GRG). Analysis of variance (ANOVA) reveals that drill material (29.08%) has the highest influence on GRG, followed by feed rate (24.24%) and spindle speed (19.52%). The interaction of feed rate and drill material has a minor impact on GRG; the variable reinforcement percentage and its interactions with all other variables were pooled up to the error term. The predicted GRG is 0.824, and the experimental value is 0.856. The predicted and experimental values match each other well. The error is 3.7%, which is very minimal. Mathematical models were also developed for all responses based on the drill bits used.

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Section: Mathematical Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Machining Parameters for Drilling LM5/ZrO2 Composites Using Grey Relational Analysis

et al. 2023

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“…Haq et al [22] proposed a novel strategy for optimizing drilling variables for drilling Al/SiC MMC with multi-objective depending on the grey relational analysis orthogonal array. Ponnuvel and Moorthy [23] analyzed the role of cutting parameters on multi-walled carbon nano tubes (MWCNTs) filled epoxy/glass fabric nano-composite hybrid polymer. Using grey relational analysis, optimal cutting samples were determined by simultaneously considering the surface delamination of the drilled holes at the entrance and exits.…”

Section: Introductionmentioning

confidence: 99%

Optimization of machining parameters in drilling of LM6/B₄C/Fly ash hybrid composites

Prakash

Rubi²,

Sivaprakasam³

et al. 2022

Manufacturing Rev.

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Metal matrix composites (MMCs), innovative replacements for traditional materials, are currently achieving a growing trend in engineering and research for operations like aviation, nuclear power, and automotive. Machining of MMCs makes it challenging to get good dimensional accuracy, surface finish and lower tool wear. Drilling is a necessary and immensely useful tool for component assembly in the manufacturing sector. As a result, optimization of drilling process variables is unavoidable. The fundamental purpose of this study is to use the stir casting technique to manufacture LM6/B4C/Fly ash composites with 3, 6 and 9 wt.% of second phase materials. Taguchi's design of experiments strategy was used to drill with three levels of feed rate (F), spindle speed (S), drill material (D) and percentage of reinforcement (R) as input process parameters. Optimization of drilling variables for attaining lower surface roughness (SR) and burr height (BH) using single objective approach. The optimum process variable achieved for surface roughness is F1S3D3R2, i.e., 50 mm/min, 3000 rpm, TiN-coated drill bit and 6 wt.% of reinforcements (B4C and Fly-ash) and for burr height is F1S3D3R3, i.e., 50 mm/min, 3000 rpm, TiN-coated drill bit and 9 wt.% of reinforcements.

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“…ANOVA calculates and expresses in percentage the relative contribution of the control variable to the overall measured response. [12].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Machining Parameters in Drilling of Aluminum Matrix Composites (LM6/Fly Ash) utilizing Taguchi Technique

Rubi*,

Prakash

2019

IJITEE

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The present study revolves around the possibility of setting machining parameters in the drilling of composites of aluminum matrix (LM6/Fly ash) using the signal to noise ratio analysis. The aim of this work is to consider, the impact of input parameters, feed, speed, drill and percentage of composite material reinforcement on thrust force during AMCs drilling. AMCs were manufactured by the stir casting process with LM6 aluminium alloy as matrix material and fly ash as reinforcement material. Investigations were directed on a CNC vertical machining center for estimating thrust force. The Taguchi strategy for trial configuration is a generally admitted system employed for delivering great items requiring less effort. In the same way, L27 orthogonal array is employed for the analyses. The response table, graphs and variance analyzes are used to demonstrate the potential environment and the effects of machining parameters. It is evident that there is a tremendous improvement in the drilling procedure by using this methodology.

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Multi-Criteria Optimisation in Drilling of Epoxy/Glass Fabric Hybrid Nanocomposite Using Grey Relational Analysis

Cited by 5 publications

References 5 publications

Multi-Objective Optimization of Machining Parameters for Drilling LM5/ZrO2 Composites Using Grey Relational Analysis

Multi-Objective Optimization of Machining Parameters for Drilling LM5/ZrO2 Composites Using Grey Relational Analysis

Optimization of machining parameters in drilling of LM6/B₄C/Fly ash hybrid composites

Optimization of Machining Parameters in Drilling of Aluminum Matrix Composites (LM6/Fly Ash) utilizing Taguchi Technique

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Multi-Criteria Optimisation in Drilling of Epoxy/Glass Fabric Hybrid Nanocomposite Using Grey Relational Analysis

Cited by 5 publications

References 5 publications

Multi-Objective Optimization of Machining Parameters for Drilling LM5/ZrO2 Composites Using Grey Relational Analysis

Multi-Objective Optimization of Machining Parameters for Drilling LM5/ZrO2 Composites Using Grey Relational Analysis

Optimization of machining parameters in drilling of LM6/B4C/Fly ash hybrid composites

Optimization of Machining Parameters in Drilling of Aluminum Matrix Composites (LM6/Fly Ash) utilizing Taguchi Technique

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Optimization of machining parameters in drilling of LM6/B₄C/Fly ash hybrid composites