Optimization of EDM process parameter for stainless steel D3

Khan, Faijan; Kumar, Jitendra; Soota, Tarun

doi:10.1016/j.matpr.2019.07.529

Cited by 16 publications

(5 citation statements)

References 7 publications

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“…The MRR was significantly impacted by electrode angle and current, as shown in Table 4 (also see Fig. 4) (P-value less than 0.05) [26]. Fig.…”

Section: Materials Removal Ratementioning

confidence: 67%

EDM Electrode Design and Analysis to Enhance Process Performance

Abbas,

Khleif

2023

Tikrit j. eng. sci.

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Electric discharge machining (EDM) is regarded as one of the most energy-efficient manufacturing processes for exceptionally accurate processing of any electrically conductive material, regardless of mechanical properties. EDM is a non-contact process utilized in various industries, including aerospace, industrial, instruments, molds, dies, and medical tools; also, it is beneficial for hard materials with simple or proficient geometries and shapes. Although EDM is for machining "difficult to machine" metals, such as those used in the mold and die industries, metal properties indicate potential capability in the domain of surface modification due to the electrical spark between the tool and the work material. This paper investigates the machining of Alloy steel X210 by using the most affecting parameters and how electrode angles contribute to responses, as MRR, Electrode wear ratio, and surface finish, which the manufacturing industry uses to make die tools, molds, automotive parts, and other products. Electrodes with angles of 0o and 90o are used to machine workpieces using WEDM (dk7740). Electrode Angle, peak discharge current, pulse-on time, and pulse-off time were controllable parameters in this study. While all other criteria are constant, variables have been studied. The effects of the four aspects on the four variables were statistically analyzed using ANOVA by MINITAB. Regression models for the responses were developed. Regression mathematical models have been developed for Alloy steel X210 workpieces to increase productivity and industry results.

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“…The MRR was significantly impacted by electrode angle and current, as shown in Table 4 (also see Fig. 4) (P-value less than 0.05) [26]. Fig.…”

Section: Materials Removal Ratementioning

confidence: 67%

EDM Electrode Design and Analysis to Enhance Process Performance

Abbas,

Khleif

2023

Tikrit j. eng. sci.

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“…The Taguchi method is a good tool in DOE to reduce noise in the system and the number of experimental runs. During the machining of a C–C composite, the Taguchi method has been implemented in the EDM process [ 13 , 14 ]. The optimization of HSS M2 grade and D2 steel has been achieved by implementing the DOE for the experimental runs [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…The optimization of HSS M2 grade and D2 steel has been achieved by implementing the DOE for the experimental runs [ 15 , 16 ]. The MRR influenced by peak current in AISI D3 material has been investigated [ 14 ]. Ni-Cr-Mo steel was machined to identify a relationship between material removal and tool wear ratio, showing that open voltage was the most significant factor in this relation [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization for Quality of Electric Discharge Machined Profile by Using Multi-Shape Electrode

et al. 2022

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The electrical discharge machining (EDM) process is one of the most efficient non-conventional precise material removal processes. It is a smart process used to intricately shape hard metals by creating spark erosion in electroconductive materials. Sparking occurs in the gap between the tool and workpiece. This erosion removes the material from the workpiece by melting and vaporizing the metal in the presence of dielectric fluid. In recent years, EDM has evolved widely on the basis of its electrical and non-electrical parameters. Recent research has sought to investigate the optimal machining parameters for EDM in order to make intricate shapes with greater accuracy and better finishes. Every method employed in the EDM process has intended to enhance the capability of machining performance by adopting better working conditions and developing techniques to machine new materials with more refinement. This new research aims to optimize EDM’s electrical parameters on the basis of multi-shaped electrodes in order to obtain a good surface finish and high dimensional accuracy and to improve the post-machining hardness in order to improve the overall quality of the machined profile. The optimization of electrical parameters, i.e., spark voltage, current, pulse-on time and depth of cut, has been achieved by conducting the experimentation on die steel D2 with a specifically designed multi-shaped copper electrode. An experimental design is generated using a statistical tool, and actual machining is performed to observe the surface roughness, variations on the surface hardness and dimensional stability. A full factorial design of experiment (DOE) approach has been followed (as there are more than two process parameters) to prepare the samples via EDM. Regression analysis and analysis of variance (ANOVA) for the interpretation and optimization of results has been carried out using Minitab as a statistical tool. The validation of experimental findings with statistical ones confirms the significance of each operating parameter on the output parameters. Hence, the most optimized relationships were found and presented in the current study.

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“…As a result of the analysis of variance (ANOVA), they determined that the parameters that most affect the surface roughness are electrode type, pulse on time, current, dielectric medium, and pulse off time, respectively. Kumar et al [13] processed D3 stainless steel with EDM in their study with the Taguchi experimental design method. By changing the current, pulse on time, and voltage parameters, they examined the outputs of MRR, tool wear rate (TWR), and SR. As a result of the ANOVA analysis, the parameters most affecting the surface roughness were found pulse on time, voltage, and current, respectively.…”

Section: Introductionmentioning

confidence: 99%

Surface Characterization of Electrical Discharge Machined AISI 630 Stainless Steel

Gerçekçioğlu¹

2021

JCHAR

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AISI 630 (17-4 PH) is a martensitic stainless steel type produced by precipitation hardening heat treatment. It is a material that is difficult to process with traditional manufacturing methods due to its high strength and hardness. Electrical discharge machining (EDM) is often used as a very effective method for processing hard-to-cut materials. One of the most critical parameters in EDM is discharge current. Surface characterization of the samples processed at 7A, 12A, 22A current values was performed by linear surface roughness results, XRD, and SEM analysis. As a result of the study, it was seen that the current significantly affects the surface characterization of AISI 630 (17-4 PH) stainless steel with EDM.

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Optimization of EDM process parameter for stainless steel D3

Cited by 16 publications

References 7 publications

EDM Electrode Design and Analysis to Enhance Process Performance

EDM Electrode Design and Analysis to Enhance Process Performance

Parametric Optimization for Quality of Electric Discharge Machined Profile by Using Multi-Shape Electrode

Surface Characterization of Electrical Discharge Machined AISI 630 Stainless Steel

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