A Study on Austenitic Stainless-Steel Machining by Wire EDM

Biswas, Shatarupa; Singh, Yogesh; Mukherjee, Manidipto

doi:10.1007/978-981-16-0909-1_36

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Present study showed that lots of previous works has been done on WEDM with different SS grades [58,59]. Therefore, it is concluded that the appropriate selection of OT's can save outlays and time both.…”

Section: Discussionmentioning

confidence: 72%

A Review on the Usage of Different Optimization Techniques for Wire Electro Discharge Machining of Stainless Steels

Biswas

2023

IJSREM

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Wire electrical discharge machining (WEDM) is a non-traditional metal cutting procedure and the overall cutting process is contactless between the wire and work material. A plasma channel is created by the electrical energy between work piece and wire, which convert the electrical energy into thermal energy and the temperature rises (8000°C to 12000°C). Due to this mechanism, metal is melted from the upper surface of work piece. Generally difficult to machine material is used to cut in WEDM. However, stainless steel (SS) is one of them, it is a metal alloy, which is mixed with steel and other elements such as chromium (Cr), nickel (Ni), molybdenum (Mo), silicon (Si), carbon (C), nitrogen (N2), and manganese (Mn) etc. SS has some excellent properties, such as high durability, high tensile strength, and corrosion resistant etc. Due to these properties SS is mainly used in automobile industries, biogas tank, combustion chamber and petrochemical industries etc. The present paper discussed about the machining of different SS grades in WEDM and effect of several input parameters (such as pulse on time (Ton), pulse off time (Toff), servo voltage (SV), wire feed (WF) etc.) on response parameters (such as material removal rate (MRR), surface roughness (SR), kerf width (KW) etc.). The review paper also reports the uses of different optimization techniques (such as taguchi technique (TT), response surface method (RSM), gray relational analysis (GRA) etc.) on various SS grades for optimizing the response parameters on the basis of different input variables. Furthermore, the research shows how to vary the value of output responses corresponding to input parameters value. Keywords: WEDM; stainless steels; input variables; output variables; optimization techniques.

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Section: Discussionmentioning

confidence: 72%

A Review on the Usage of Different Optimization Techniques for Wire Electro Discharge Machining of Stainless Steels

Biswas

2023

IJSREM

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“…During this process, the material is removed using a series of thousands of electrical discharges between the electrodes. The generated temperature during the discharge phase could rise locally up to 12,000 K [ 6 ]. Many researchers study the machining parameters that involve the influence of pulse-on current (I P ), pulse on (T on ) and pulse-off time (T off ), gap voltage, as well as the Material Removable Rate (MRR) and the Tool Wear Ratio (TWR) [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Surface and Subsurface Quality of Titanium Grade 23 Machined by Electro Discharge Machining

et al. 2021

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Electrical Discharge Machining (EDM) is a non-traditional cutting technology that is extensively utilized in contemporary industry, particularly for machining difficult-to-cut materials. EDM may be used to create complicated forms and geometries with great dimensional precision. Titanium alloys are widely used in high-end applications owing to their unique intrinsic characteristics. Nonetheless, they have low machinability. The current paper includes an experimental examination of EDM’s Ti-6Al-4V ELI (Extra Low Interstitials through controlled interstitial element levels) process utilizing a graphite electrode. The pulse-on current (IP) and pulse-on time (Ton) were used as control parameters, and machining performance was measured in terms of Material Removal Rate (MRR), Tool Material Removal Rate (TMRR), and Tool Wear Ratio (TWR). The Surface Roughness (SR) was estimated based on the mean roughness (SRa) and maximum peak to valley height (SRz), while, the EDMed surfaces were also examined using optical and SEM microscopy and cross-sections to determine the Average White Layer Thickness (AWLT). Finally, for the indices above, Analysis of Variance (ANOVA) was conducted, whilst semi-empirical correlations for the MRR and TMRR were given using the Response Surface Method (RSM). The results show that the pulse-on time is the most significant parameter of the machining process that may increase the MRR up to 354%. Pulse-on current and pulse-on time are shown to have an impact on the surface integrity of the finished product. Furthermore, statistics, SEM, and EDX images on material removal efficiency and tool wear rate are offered to support the core causes of surface and sub-surface damage. The average microhardness of the White Layer (WL) is 1786 HV.

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A Study on Austenitic Stainless-Steel Machining by Wire EDM

Cited by 2 publications

References 27 publications

A Review on the Usage of Different Optimization Techniques for Wire Electro Discharge Machining of Stainless Steels

A Review on the Usage of Different Optimization Techniques for Wire Electro Discharge Machining of Stainless Steels

Surface and Subsurface Quality of Titanium Grade 23 Machined by Electro Discharge Machining

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