Multi response hybrid optimization of sustainable high-speed end milling on 89.7Ti-6Al-4V

Mugilan, T.; Sridhar, N.; Sathishkumar, G.B.

doi:10.1016/j.matpr.2022.05.362

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…The initial step in GRA entails normalizing and deviating the experimental data to fall within the range of 0-1. In this analysis, lower wear volume signifies superior performance ("lower-is-better"), while higher micro hardness corresponds to better cladding performance ("higher-is-better") (19) . The normalized wear volume and micro hardness values are computed using Equations ( 1) and ( 2) respectively.…”

Section: Grey Relational Analysis Of Mechanical Responsesmentioning

confidence: 99%

Surface modification of AZ61 Magnesium Alloy with Stelcar Alloy Powder Using Laser Cladding Technique

Sathishkumar,

Asaithambi,

Srinivasan

2024

IJST

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Objective: To examine the tribological and mechanical characteristics of the AZ61 alloy reinforced with Stelcar alloy powder by surface modification through laser cladding. Methods: Surface modification was done by using a laser cladding machine, where the input parameters including Scanning Speed (SS), Laser Power (LP) and Powder Feed Rate (PFR) were adjusted. Experimental design followed a L9 Taguchi approach, and optimization of input parameters for the surface modified AZ61 alloy reinforced with Stelcar alloy particles was achieved using Grey Relational Analysis (GRA). Output responses, namely wear volume and micro hardness were measured to assess the effectiveness of the optimization process. Findings: From the results obtained through the experiments, powder feed rate contributes to 82.81% of the variability in wear volume, whereas the laser power mostly impacts micro hardness; influencing it by 89.46% confirmed with ANOVA. In order to determine the optimal processing parameters among various objectives, this research applies the grey relational method. The results showed that the wear volume and micro hardness of the composite were significantly affected by the Stelcar reinforcement. Employing Grey relational analysis combined with several optimization objectives into a transparent method, resulting in a clad material with the lower wear volume and higher micro hardness. The optimized processing parameters predicted grey relational grades with an error rate of 1.39% and a significant contribution of 63.60% from laser power. This study confirmed that multi-objective optimization could enhance laser-cladded surface mechanical characteristics and laid out the theoretical foundation for this approach. Novelty: This study introduces an innovative approach to surface modification by employing the laser cladding technique to reinforce Stelcar alloy particles, thereby creating a dense coating on the substrate. Keywords: Laser Cladding, AZ61 magnesium alloy, Stelcar alloy, Coating, Optimization

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Section: Grey Relational Analysis Of Mechanical Responsesmentioning

confidence: 99%

Surface modification of AZ61 Magnesium Alloy with Stelcar Alloy Powder Using Laser Cladding Technique

Sathishkumar,

Asaithambi,

Srinivasan

2024

IJST

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“…For this analysis, we adopt the "higher-is-better" criterion for micro-hardness, as higher values indicate superior cladding performance. Conversely, for the dilution rate and wear volume, the "lower-thebetter" criterion is applied since lower values correspond to better cladding outcomes [41]. Therefore, achieving higher micro-hardness, along with reduced dilution rates and wear volumes, is deemed desirable in this context.…”

Section: Grey Relational Analysis (Gra) Of Mechanical Responsesmentioning

confidence: 99%

Parameter Optimization of Laser Cladding for Stelcar Powder Coatings on AZ61 Magnesium Alloy

et al. 2024

Preprint

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The main objective of this study is to improve the surface coating characteristics and reduce the dilution rate of AZ61 magnesium alloy using the laser cladding technique. This research work employed Taguchi (L16) orthogonal experimental design to investigate the relationship between process parameters and a cladding quality index. Parameters such as Scanning Speed (SS), Laser Power (LP), Powder Feed Rate (PFR) and Gas Flow (GF) were varied to analyze their impact on wear volume, dilution rate and micro-hardness of the key response variables in the laser cladding setup. Signal-to-noise ratios were calculated for each parameter to identify their individual effects on the responses. The findings indicated that powder feed rate predominantly influenced wear volume, accounting for 88.18% of its variation, while scanning speed has the highest influence on dilution rate (73.20%), and laser power significantly affected micro-hardness (84.60%). This study utilized grey relational analysis to determine the optimum processing parameters which simultaneously reduced wear volume, minimized dilution rate and enhanced micro-hardness. In particular, inclusion of Stelcar alloy powder in the substrate significantly influenced these outcomes. The application of grey relational analysis allowed the researchers to integrate multiple optimization objectives into a strategy, resulting in a clad with superior micro-hardness and minimal wear volume and dilution rate. The optimized parameters achieved the desired goals with a high degree of accuracy, confirming the effectiveness of multi-objective optimization in enhancing coating qualities and controlling dilution rate through laser cladding.

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Optimization of DEFORM-3D simulated drilling of UNSS31603-steel by integrated MOORA coupled PCA technique

Mugilan¹,

Sridhar²,

Santhosh³

et al. 2023

Materials Today: Proceedings

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Multi response hybrid optimization of sustainable high-speed end milling on 89.7Ti-6Al-4V

Cited by 3 publications

References 25 publications

Surface modification of AZ61 Magnesium Alloy with Stelcar Alloy Powder Using Laser Cladding Technique

Surface modification of AZ61 Magnesium Alloy with Stelcar Alloy Powder Using Laser Cladding Technique

Parameter Optimization of Laser Cladding for Stelcar Powder Coatings on AZ61 Magnesium Alloy

Optimization of DEFORM-3D simulated drilling of UNSS31603-steel by integrated MOORA coupled PCA technique

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