Modelling of Surface Roughness in Wire-EDM Using Response Surface Methodology Technique

Kumar, P. Mathan; Dinesh, D.; Sundarraju, G.; Madheswaran, S.; Perumal, K.

doi:10.1007/978-981-15-8319-3_79

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…In this approach MOORA a process optimization technique and ELECTREE a design optimization technique was integrated together to choose the best from the available alternative. The various phases involved in this technique was discussed briefly in our previous paper [57]. The first stage was formation of decision matrix, in this study 25 experiments were conducted by varying 4 process parameters.…”

Section: Moora-electree Integrated Optimization Technique (Meiot)mentioning

confidence: 99%

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Ranjith¹,

Pytenkar

Ramu

2021

Surf. Topogr.: Metrol. Prop.

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In this research work, an attempt was made to machine Ti6Al4V titanium alloy utilizing AA6061/10Gr composite tool. The composite tool was fabricated using stir casting technique and Al2O3 particles of size 5µm were incorporated in the dielectric fluid to enhance the machining performance. Experiments were conducted by varying Al203 concentration, pulse on time, current, and pulse off time, and the responses Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (Ra) were recorded. Experiments runs were planned using Taguchi orthogonal array. The results revealed that adding powder increases MRR and TWR owing to the excessive heat generation and bridging effect respectively. The best surface finish was attained due to the increase in spark gap and complete flushing of machined debris. Coating of materials over the machined specimen was observed when the parametric value of Ton was higher than 60s under PMEDM conditions. Pits, craters and cracks were observed on the machined topography which was eliminated when 5g/l of Al2O3 particles were added to dielectric fluid. MEIOT technique was utilized for optimization and it was observed that Ton 15µs, Toff 4µs and current 7A and powder concentration of 10g/l results in best machining performance.

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Section: Moora-electree Integrated Optimization Technique (Meiot)mentioning

confidence: 99%

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Ranjith¹,

Pytenkar

Ramu

2021

Surf. Topogr.: Metrol. Prop.

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Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX

Manoj

Soni

Narendranath

et al. 2022

Advances in Materials Science and Engineering

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The Altemp HX is a nickel-based superalloy having many applications in chemical, nuclear, aerospace, and marine industries. Machining such superalloys is challenging as it may cause both tool and surface damage. WEDM, a non-contact machining technique, can be employed in the machining of such alloys. In the present study, different input parameters which include pulse on time, wire span, and servo gap voltage were investigated. The cutting velocity, surface roughness, recast layer, and microhardness variations were examined on the WEDMed surface. The genetic algorithm was used to optimize the cutting velocity and surface roughness, thereby improving the overall quality of the product. The highest recast layer values were recorded as 25.8 µm, and the lowest microhardness was 170 HV. Response surface methodology and artificial neural network were employed for the prediction of cutting velocity and surface roughness. Artificial neural network prediction technique was the most efficient method for the prediction of response parameters as it predicted an error percentage lesser than 6%.

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Modelling of Surface Roughness in Wire-EDM Using Response Surface Methodology Technique

Cited by 2 publications

References 10 publications

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX

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Modelling of Surface Roughness in Wire-EDM Using Response Surface Methodology Technique

Cited by 2 publications

References 10 publications

Influence of Al203 particle mixed dielectric fluid on machining performance of Ti6Al4V

Influence of Al203 particle mixed dielectric fluid on machining performance of Ti6Al4V

Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX

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Product

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Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V