Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique

Saini, Tushar; Goyal, Khushdeep; Bhandari, Deepak

doi:10.1007/s41939-018-0027-7

Cited by 17 publications

(8 citation statements)

References 22 publications

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“…According to Adik et al [15] machining of shape memory alloy with wire EDM yielded good surface finish compared to traditional machining process when machining at high T ON the surface finnish was observed to be rough with crack, craters and blow holes. According to Tushar et al [16] T ON is identified as the significant factor showing effect on material removal rate and surface finish. Higher the T ON , more is the surface roughness and material removal rate.…”

Section: Introductionmentioning

confidence: 99%

Wear behavior of wire electric discharge machined surface of 316L stainless steel

2020

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This study presents the wear behavior of 316L stainless steel material machined with wire electric discharge machine (EDM) at different machining conditions by varying the machining parameters pulse on time (T ON), peak current (IP), servo voltage (SV) and wire tension (WT). Sliding wear tests are conducted on the cylindrical specimens using pin on disc apparatus and the worn morphology of the specimens are analyzed by SEM and XRD. The experimental investigation revealed that the wear resistance is highly influenced by the wire EDM parameters. T ON and IP are identified to be the most influencing factors effecting wear resistance. At similar values of the product of T ON and IP, the wear resistance remained constant and the wear resistance increased with decrease in the product of T ON and IP. The obtained parameters setting can be used in die making industries where wear behavior is of importance.

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Section: Introductionmentioning

confidence: 99%

Wear behavior of wire electric discharge machined surface of 316L stainless steel

2020

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“…When input current was varied from 10A to 20A, SR gets reduced, proving that higher current produces lower SR values. The rate of material removal upsurges with higher pulse on-time [33]. For MRR, the most significant parameter is pulse on-time [34].…”

Section: Resultsmentioning

confidence: 99%

Enhancing the Tool Die Steel P rofile C utting P erformance in WEDM P rocess

Saravanan*¹,

Thiagarajan²,

Somasundaram³

2019

IJEAT

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This work elaborates the experimental work on Material Removal Rate (MRR) and Surface Roughness (SR) output conditions of Wire-Electrical Discharge Machining (WEDM) and finding the optimal input conditions through Taguchi method coupled with Grey relational analysis for lower SR and higher MRR during profile cutting of high strength D3 tool steel, which is the need of the hour in industries. The machining factors considered for investigation which influences MRR and SR were: cutting speed, pulse on-time and off-time, input current, wire tension and feed and servo feed and voltage. A L18 orthogonal array was considered for mixed-level experimental design through Taguchi’s approach and for multi-criteria optimization Grey Relational Analysis was applied. Outcome shows that SR increases with the increase of pulse on-time and decreases with increase in pulse off-time and MRR increases as the pulse on-time increases due to longer spark duration. Both SR and MRR are well within the control limits and servo voltage is the most influential parameter contributing by 48.48%, followed by wire feed rate, input current and servo feed rate with an R2 value of 95.85%, identified through Analysis of Variance (ANOVA). With obtained optimum conditions, a validation experiment was conducted to authenticate the results, which indicates a worthy agreement with predicted output characteristics.

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“…Saini et al [14] achieved multi-objective optimization in WEDM of 16MnCr5 alloy steel. Obwald et al [15] conducted an analysis of different pulses types generated in high-speed WEDM.…”

Section: Introductionmentioning

confidence: 99%

A Detailed Machinability Assessment of DC53 Steel for Die and Mold Industry through Wire Electric Discharge Machining

Khan

Rehman

Farooq

et al. 2021

Metals

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Recently, DC53 die steel was introduced to the die and mold industry because of its excellent characteristics i.e., very good machinability and better engineering properties. DC53 demonstrates a strong capability to retain a near-net shape profile of the die, which is a very challenging process with materials. To produce complex and accurate die features, the use of the wire electric discharge machining (WEDM) process takes the lead in the manufacturing industry. However, the challenge is to understand the physical science of the process to improve surface features and service properties. In this study, a detailed yet systematic evaluation of process parameters investigation is made on the influence of a wire feed, pulse on duration, open voltage, and servo voltage on the productivity (material removal rate) and material quality (surface roughness, recast layer thickness, kerf width) against the requirements of mechanical-tooling industry. Based on parametric exploration, wire feed was found the most influential parameter on kerf width: KW (45.64%), pulse on time on surface roughness: SR (84.83%), open voltage on material removal rate: MRR (49.07%) and recast layer thickness: RLT (52.06%). Also, the optimized process parameters resulted in 1.710 µm SR, 10.367 mm3/min MRR, 0.327 mm KW, and 10.443 µm RLT. Moreover, the evolution of surface features and process complexities are thoroughly discussed based on the involved physical science. The recast layer, often considered as a process limitation, was explored with the aim of minimizing the layers’ depth, as well as the recast layer and heat-affected zone. The research provides regression models based on thorough investigation to support machinists for achieving required features.

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Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique

Cited by 17 publications

References 22 publications

Wear behavior of wire electric discharge machined surface of 316L stainless steel

Wear behavior of wire electric discharge machined surface of 316L stainless steel

Enhancing the Tool Die Steel P rofile C utting P erformance in WEDM P rocess

A Detailed Machinability Assessment of DC53 Steel for Die and Mold Industry through Wire Electric Discharge Machining

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