Effect of process parameter on wire cut EDM using RSM method

Selvam, R.; Vignesh, M.; Pugazhenthi, R.; Anbuchezhiyan, G.; Gupta, Maanak

doi:10.1007/s12008-023-01391-9

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…This work L Gupta (2024) [14] Selvam (2023) [15] L Sadhana (2022) [16] L 9 Chary (2022) [17] L Paturi (2021) [18] L Saif (2021) [19] L 9 Naik (2021) [20] L Kumar, A. (2021) [21] L Kumar, U.…”

Section: Materials Removal Rate Energy Othermentioning

confidence: 99%

“…Selvam et al [15] investigated the impact of machining parameters on material removal rate in wire electrical discharge machining of MONEL 400 K. They identified wire feed, pulse on-time, and pulse off-time as key influential factors affecting MRR. The study revealed that increasing pulse off-time enhanced material removal rate while simultaneously reducing surface roughness, indicating effective material flushing and achieving high-quality machining outcomes.…”

Section: Materials Removal Rate Energy Othermentioning

confidence: 99%

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Optimization of Cutting Parameters for Energy Efficiency in Wire Electrical Discharge Machining of AISI D2 Steel

González-Rojas,

Miranda-Valenzuela,

Calderón-Najera

2024

Applied Sciences

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Improving energy efficiency in manufacturing processes is a critical global concern for the industry. Manufacturers strive to enhance energy efficiency across all manufacturing operations to remain competitive globally, aiming to reduce production times without compromising product quality. While there has been significant research characterizing energy efficiency and surface roughness in conventional processes like turning or milling, studies on unconventional manufacturing techniques are limited. This study focuses on optimizing a wire electrical discharge machining (WEDM) process to minimize energy consumption while maintaining surface roughness. Various cutting parameters, such as pulse on-time, pulse off-time, servo voltage, wire tension, wire speed, and wire voltage, were evaluated. Experiments were conducted using Taguchi’s methodology with a L27 orthogonal array, employing AISI D2 steel plates of 19 mm and 25 mm thickness as the machining material. The research identified that optimal parameters for reducing energy consumption and improving surface roughness included a pulse on-time of 10 s, pulse off-time of 11 s, servo voltage of 44 V, wire tension of 50 g-force, wire speed of 7 m per minute, and wire voltage of 9 volts. This combination led to an 8% reduction in energy consumption and a 1% enhancement in surface roughness compared to baseline values.

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Section: Materials Removal Rate Energy Othermentioning

confidence: 99%

Section: Materials Removal Rate Energy Othermentioning

confidence: 99%

Optimization of Cutting Parameters for Energy Efficiency in Wire Electrical Discharge Machining of AISI D2 Steel

González-Rojas,

Miranda-Valenzuela,

Calderón-Najera

2024

Applied Sciences

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“…Furthermore, the factors that affected surface roughness were VG and the interaction between IP and Ton. R. Selvam and his research team [14] conducted a study that focused on analyzing the process parameters in wire cut EDM for enhancing Material Removal Rate (MRR) during Monel 400K machining. Their research utilized the response surface methodology to investigate the impact of varying the time-off duration on the augmentation of MRR.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Cutting Parameters in Wire Electric Discharge Machining (Wedm) to Reduce Energy Consumption and Surface Roughness During Aisi D2 Steel Machining

Rojas,

Valenzuela,

Nájera

2023

Preprint

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Energy efficiency in manufacturing processes has become a critical issue for the industry, so a worldwide effort is being made to improve energy efficiency in all manufacturing activities. Also, manufacturers are concerned about being competitive worldwide, so a decrease in production times is required without affecting the quality of products. Therefore, there are studies to characterize energy efficiency and surface roughness in manufacturing processes. Such studies have been mainly applied to conventional processes, such as for example, turning or milling. However, studies in unconventional manufacturing processes remain absent. The main objective of this work is to optimize cutting factors in Wire Electric Discharge Machining, such as Pulse on time (Ton), Pulse off time (Toff), servo voltage (SV), wire tension (WT), wire-speed (WS), and voltage (V), in order to reduce energy consumption and improve surface roughness, both separate and as a whole. The experiments were carried out according to Taguchi's L27 (6³) approach. AISI D2 steel was used as the material to be machined. As a result of the study, the optimal factors that reduce energy consumption are Ton (16µs), Toff (11µs), SV (44V), WT (50g), WS (70dm/min), and V (9V). Furthermore, the optimal factors that improve the surface roughness are Ton (10µs), Toff (11µs), SV (44V), WT (30g), WS (70dm/min), and V (5V). Finally, to reduce energy consumption and improve the surface roughness, the optimal values are Ton (10µs), Toff (11µs), SV (44V), WT (50g), WS (70dm/min), and V (9V). This methodology has been tested and validated on a SODICK VZ300L.

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Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology

Mohanraj,

Thenarasu,

Ragaventhra

et al. 2024

Int J Interact Des Manuf

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Effect of process parameter on wire cut EDM using RSM method

Cited by 6 publications

References 16 publications

Optimization of Cutting Parameters for Energy Efficiency in Wire Electrical Discharge Machining of AISI D2 Steel

Optimization of Cutting Parameters for Energy Efficiency in Wire Electrical Discharge Machining of AISI D2 Steel

Optimization of Cutting Parameters in Wire Electric Discharge Machining (Wedm) to Reduce Energy Consumption and Surface Roughness During Aisi D2 Steel Machining

Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology

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