Lathe Parameters Optimization for UD-GFRP Composite Part Turning with PCD Tool by Taguchi Method

Naresh, H.; Prasad, Padhy Chinmaya

doi:10.13111/2066-8201.2020.12.4.12

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…The depth of cut was the primary influencing parameter than the other parameters. Hazari Naresh et al [10] analyzed the unidirectional GFRP composites turning by PCD tool with Taguchi technique. In this research, forces, TW and surface quality were the output responses, and cutting depth, tool movement rate and cutting velocity were the input parameters.…”

Section: Introductionmentioning

confidence: 99%

A hybrid approach for prediction of machining performances of glass fiber reinforced plastic (Epoxy) composites

Raveendran¹,

Alagarsamy²,

Chanakyan³

et al. 2021

Surf. Topogr.: Metrol. Prop.

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In recent years, Glass Fiber Reinforced Plastic (GFRP) composites are more potential materials for usage in various structural applications in aerospace and automobile industries, owing to its favorable properties, such as light weight, specific strength, high elastic modulus and excellent corrosion resistance. This paper presents a new hybrid approach for multi-objective optimization of machining parameters on GFRP composite using Taguchi coupled grey relational (GR) and desirability function (DF) approach. The end milling of GFRP composite was performed as per Taguchi's L16 orthogonal array by considering three input parameters: viz cutting speed (V), feed rate (F) and depth of cut (D), each at four levels. The material removal rate (MRR), surface roughness (SR) and tool wear (TW) were chosen as output responses. The main effect plot was used to determine the optimum level of machining parameters on the multiple responses. An experimental result revealed that, the optimum level of parameters obtained by GR analysis is V 2 F 3 D 4 . Similarly, the optimum level of parameters obtained by DF approach is V 2 F 4 D 4. Moreover, analysis of variance (ANOVA) was applied to examine the significance of the parameters. Based on the ANOVA results, it has been proved that the depth of cut was the most significant parameter, trailed by feed rate and cutting speed, respectively. It was also confirmed that the P-values of depth of cut for both analyses are 0.017 and 0.039, which is less than 0.05. Finally, the confirmation tests exhibited that the DA approach was employed better in terms of determining the optimum level of machining parameters as compared to GR analysis.

show abstract

Section: Introductionmentioning

confidence: 99%

A hybrid approach for prediction of machining performances of glass fiber reinforced plastic (Epoxy) composites

Raveendran¹,

Alagarsamy²,

Chanakyan³

et al. 2021

Surf. Topogr.: Metrol. Prop.

View full text Add to dashboard Cite

show abstract

“…The depth of cut was the primary influencing parameter than the other parameters. Hazari Naresh et al [8] analyzed the unidirectional GFRP composites turning by PCD tool with Taguchi technique. In this research, forces, TW and surface quality are the output responses, and cutting depth, tool movement rate and cutting velocity are the input parameters.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Predition of Machining Performances of Glass Fiber Reinforced Plastic (Epoxy) Composites

Raveendran

Alagarsamy

Chanakyan

et al. 2021

Preprint

View full text Add to dashboard Cite

In recent years, Glass Fiber Reinforced Plastic (GFRP) composites are more potential materials for usage in various structural applications in aerospace and automobile industries, owing to its favorable properties, such as light weight, specific strength, high elastic modulus and excellent corrosion resistance. This paper presents a new hybrid approach for multi-objective optimization of machining parameters on GFRP composite using Taguchi coupled grey relational (GR) and desirability function (DF) approach. The end milling of GFRP composite was performed as per Taguchi’s L16 orthogonal array by considering three input parameters: viz. cutting speed (V), feed rate (F) and depth of cut (D), each at four levels. The material removal rate (MRR), surface roughness (SR) and tool wear (TW) were chosen as output responses. The main effect plot was used to determine the optimum level of machining parameters on the multiple responses. Moreover, analysis of variance (ANOVA) were applied to examine the significance of the parameters. Based on the ANOVA results, it was been proved that the depth of cut was the most remarkable parameter, trailed by feed rate and cutting speed, respectively. Finally, the confirmation tests exhibited that the DA approach was employed better in terms of determining the optimum level of machining parameters as compared to GR analysis.

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“…Their research contributes to the understanding and improvement of machining processes in GFRP composites. Hazari et al [20][21][22] explored the machinability of UD-GFRP composites under green-machining and cryogenic-machining environments. The study employed the RSM (Response Surface Methodology) and Taguchi technique to analyze and optimize the machining process.…”

mentioning

confidence: 99%

Effect of Turning Parameter and Fiber Pullout on Machinability of Unidirectional EGFRP under Cryogenic Condition

NARESH,

Padhy

2023

Int. J. Automot. Mech. Eng.

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The non-homogeneous and anisotropic nature of composites poses challenges during machining, requiring the use of specialized cutting tools. GFRP materials were selected for their excellent elasticity, corrosion resistance, and high strength, making them ideal for applications in the aerospace and automotive industries. In this work, the surface quality of UD-GFRP composite bars during CNC machining in diverse machining conditions (dry, wet, and cryogenic) was investigated while considering the fiber-pullout issue. The UD-EGFRP composite materials have been machined with a polycrystalline diamond tool. The Taguchi-L9 orthogonal-array technique is used to investigate and further analysis. Three independent-variables feed rate, rotational speed or cutting speed, and depth of cut have been taken into account for their optimal design to get better machinability of EGFRP. This study also investigates the delamination criterion in composites and establishes the correlation between its input parameters and output responses. The findings revealed that cryogenic machining led to a notable improvement of 25.21% in surface roughness compared to the other lubrication methods. Also, the reduction from 84 µm to 34 µm in fiber-pullout signifies that cryogenic cooling effectively mitigated the occurrence of fiber-pullout.

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Lathe Parameters Optimization for UD-GFRP Composite Part Turning with PCD Tool by Taguchi Method

Cited by 3 publications

References 7 publications

A hybrid approach for prediction of machining performances of glass fiber reinforced plastic (Epoxy) composites

A hybrid approach for prediction of machining performances of glass fiber reinforced plastic (Epoxy) composites

A Hybrid Approach for Predition of Machining Performances of Glass Fiber Reinforced Plastic (Epoxy) Composites

Effect of Turning Parameter and Fiber Pullout on Machinability of Unidirectional EGFRP under Cryogenic Condition

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