Measurement and Multi-response Optimization of Spark Erosion Machining Parameters for Titanium Alloy Using Hybrid Taguchi–Grey Relational Analysis–Principal Component Analysis Approach

Gopal, R.; Thirunavukkarasu, K.; Kavimani, V.; Gopal, P. M.

doi:10.1007/s11665-021-05634-2

Cited by 13 publications

(4 citation statements)

References 46 publications

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“…When voltage was applied the incorporated particles gets energized and creates bridging effect. 25 Owing to this more heat was generated which strikes the work piece as well as tool material, hence TWR increases. TWR upsurges from 15.78 mg min −1 to 32.02 mg min −1 when there is raise in current from 5 A to 20 A.…”

Section: Resultsmentioning

confidence: 99%

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Y²,

Nashreen.

2022

ECS J. Solid State Sci. Technol.

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The component produced with best surface quality increases the life time of the product and with the objective of attaining it. AA7050 hybrid composites was processed using the electric discharge machining (EDM) technique. Composites with varying weight percentage of reinforced particles were manufactured using the stir casting technique. SiC and Al2O3 with an average particles size of 5 μm was used as reinforcement. EDM experimentation was conducted on the composites by varying pulse on time (Ton), current (A), powder concentration, and reinforcement weight percentage and the experimental runs were designed using Taguchi mixed orthogonal array, Material removal rate (MRR), tool wear rate (TWR), surface roughness (Ra), and machined surface hardness were recorded as response. When SiC particles were added into the dielectric fluid, MRR increased. The generated heat was uniformly spread throughout the machined surface due to the low thermal conductivity of SiC particles. TWR for composites machined with 2 wt% reinforcing materials increased significantly when powder particles were introduced, reaching 32.61 mg/min. The dispersed particles settled across the machined surface due to high density of SiC particles (4.36 g/cm3), lowering the surface quality. Black spots, remelted particles, globules, and micro pits are some of textures observed on machined surface morphology.

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Section: Resultsmentioning

confidence: 99%

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Y²,

Nashreen.

2022

ECS J. Solid State Sci. Technol.

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“…(4) The GRG is the relational grade between the experimental process parameters and experimental evaluation indexes, and it can be calculated by Equation (16) [ 22 ]:

where ω j is the weight of each evaluation index, as calculated and determined by Equation (15).…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Optimisation of Lapping Process Parameters for Single-Crystal 4H–SiC Using Orthogonal Experiments and Grey Relational Analysis

Deng

Yan

et al. 2021

Micromachines

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Lapping is one of the standard essential methods to realise the global planarization of SiC and other semiconductor substrates. It is necessary to deeply study the mechanism to obtain SiC lapping process parameters with a strong comprehensive lapping performance (i.e., high material removal rate (MRRm), small surface roughness (Ra), and low total thickness variation (TTV)). The effects of the lapping process parameters and their interactions on lapping performance for SiC were investigated using orthogonal experiments; the effects on the MRRm, Ra, TTV, and optimal parameters under the conditions of a single evaluation index were investigated using intuitive analysis (range analysis, variance analysis, and effect curve analysis). The entropy value method and grey relational analysis were used to transform the multi-evaluation-index optimisation into a single-index optimisation about the grey relational grade (GRG) and to comprehensively evaluate the lapping performance of each process parameter. The results showed that the lapping plate types, abrasive size, and their interaction effect had the most significant effects on MRRm and Ra, with a contribution of over 85%. The interaction between the lapping plate types and abrasive size was also found to have the most significant effect on TTV, with a contribution of up to 51.07%. As the lapping plate’s hardness and abrasive size increased, the MRRm and Ra also gradually increased. As the lapping normal-pressure increased, MRRm increased, Ra gradually decreased, and TTV first decreased and then increased. MRRm, Ra, and TTV first increased and then decreased with increasing abrasive concentration. Compared to the optimisation results obtained by intuitive analysis, the process parameter optimised by the grey relational analysis resulted in a smooth surface with an MRRm of 90.2 μm/h, an Ra of 0.769 nm, and a TTV of 3 μm, with a significant improvement in the comprehensive lapping performance. This study reveals that a combination of orthogonal experiments and grey relational analysis can provide new ideas for optimising the process parameters of SiC.

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“…Similarly, the production rate of a material and the surface quality of mechanical components are mainly based on MRR, surface roughness, and kerf width, respectively, and so these parameters are chosen as output responses (Table 2). Herein, procedures for MRR, surface roughness, and kerf width measurement are already shown in our previous reports [20,21]. While larger is better condition, it is designated for MRR and smaller is better condition, it is designated for kerf width (KW) and surface roughness during SN ratio analysis, since higher surface roughness (Ra) decreases the surface quality.…”

Section: Experimental Designmentioning

confidence: 99%

Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach

Kavimani

Gopal

Sivamaran³

et al. 2022

Advances in Materials Science and Engineering

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In this research, friction stir processing (FSP) is utilized to develop the graphene-boron nitride-reinforced hybrid magnesium surface composite with varying volume percentages of reinforcements. A Taguchi-coupled Entropy-COPRAS approach is adopted to understand the influence of control factors of wire electrical discharge machining on the developed magnesium surface composite. An optimal combination of machining factors to attain maximum material removal rate (MRR) along with minimal kerf width and surface roughness is to be finalized. The Taguchi method is utilized for planning the experiments with three levels and four factors, namely, reinforcement volume %, pulse off time, wire feed rate, and pulse on time. ANOVA results show that pulse on time and reinforcement volume % act as the most significant factors for output responses. Using the Entropy-COPRAS approach, an optimal combination for output response was found for a maximum MRR of 16.20 mm3/min; minimal surface roughness of 3.86 μm; and 0.29 μm of kerf width.

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Measurement and Multi-response Optimization of Spark Erosion Machining Parameters for Titanium Alloy Using Hybrid Taguchi–Grey Relational Analysis–Principal Component Analysis Approach

Cited by 13 publications

References 46 publications

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Optimisation of Lapping Process Parameters for Single-Crystal 4H–SiC Using Orthogonal Experiments and Grey Relational Analysis

Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach

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Measurement and Multi-response Optimization of Spark Erosion Machining Parameters for Titanium Alloy Using Hybrid Taguchi–Grey Relational Analysis–Principal Component Analysis Approach

Cited by 13 publications

References 46 publications

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al2O3 Hybrid Composites

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al2O3 Hybrid Composites

Optimisation of Lapping Process Parameters for Single-Crystal 4H–SiC Using Orthogonal Experiments and Grey Relational Analysis

Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach

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Product

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Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites