Experimental studies on electrical discharge wire cutting of Ni-rich NiTi shape memory alloy

Bisaria, Himanshu; Shandilya, Pragya

doi:10.1080/10426914.2017.1388518

Cited by 57 publications

(30 citation statements)

References 26 publications

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“…The high FEAC at a higher discharge energy can be significantly reduced by using the trim-cutting mode (at a lower discharge energy), since the comparatively low discharge energy at the trim cut mode led to less erosion and decomposition of the wire electrode. 17 Bisaria and Shandilya 18 and Hsieh et al 16 reported a similar effect of variable parameters of FEAC.…”

Section: Resultsmentioning

confidence: 68%

Parametric study on the recast layer during EDWC of a Ni-rich NiTi shape memory alloy

Shandilya

Bisaria

Jain

2018

Journal of Micromanufacturing

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Shape memory alloys (SMAs) have exceptional properties, namely, shape memory effect, superelasticity and other enriched physical and mechanical properties. The conventional machining of these alloys is associated with several severe difficulties. Electric discharge wire cutting (EDWC), an advanced machining process, is utilized to machine Ni50.89Ti49.11 SMA under this investigation. The aim of this investigation was to reveal the effect of EDWC variable parameters such as pulse on time ( TON), wire feed (WF) rate, spark gap voltage (SV), wire tension (WT) and pulse off time ( TOFF) on recast-layer thickness (RLT) and a foreign element atomic content (FEAC) using the one-factor-at-a-time approach. Scanning electron microscope equipped with energy dispersive X-ray spectroscopy facility was utilized to analyse RLT and FEAC. RLT and FEAC are varied linearly and nonlinearly respectively with TON, TOFF and SV. A thick recast layer with a high percentage of FEAC was formed on the machined surface of Ni50.89Ti49.11 SMA at a higher TON and a lower TOFF and SV. However, RLT and FEAC are slightly varied with WF and WT.

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Section: Resultsmentioning

confidence: 68%

Parametric study on the recast layer during EDWC of a Ni-rich NiTi shape memory alloy

Shandilya

Bisaria

Jain

2018

Journal of Micromanufacturing

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“…So, the selection of the proper level of WF and WT is essential for economic, accurate, and precise machining of Ni 55.95 Ti 44.05 SMA in WEDC. Bisaria et al [9] also found similar findings during WEDC of Ni-rich NiTi SMA and concluded that wire feed rate and wire tension have the trifling effect on cutting rate ( ∝ MRR) and surface roughness ( ∝ crater size). Figure 10a-b shows the XRD pattern for Ni 55.95 Ti 44.05 SMA's machined surface at higher and lower discharge energy density, respectively.…”

Section: Analysis Of Materials Removal Rate and Average Crater Depthmentioning

confidence: 56%

“…In order to overcome the difficulties in conventional machining of SMAs, advanced machining is another suitable option. WEDC, also known as wire electric discharge machining (WEDM) [9], is one of the advanced machining processes, which is widely used in various industries to machine hard and conductive materials with complex shapes irrespective of strength and hardness. WEDC is a distinct variant of EDM in which a continuously moving conductive wire as an electrode is used.…”

Section: Introductionmentioning

confidence: 99%

“…Bisaria et al [9] performed the parametric study on Ni-rich NiTi SMA in electrical discharge wire cutting process and observed that the pulse on time, pulse off time and spark gap voltage were the main influencing parameters for cutting rate and surface roughness, whereas wire tension and wire feed rate were non-influencing parameters. Soni et al [12] conducted WEDM of Ti 50 Ni 49 Co 1 shape memory alloy (SMA) and investigated the effect of input parameters on cutting rate (CR) and SR (surface roughness).…”

Section: Introductionmentioning

confidence: 99%

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Study on crater depth during material removal in WEDC of Ni-rich nickel–titanium shape memory alloy

Bisaria

Shandilya

2019

J Braz. Soc. Mech. Sci. Eng.

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The objective of this experimental investigation is to reveal the individual effect of wire electrical discharge cutting (WEDC) process parameters, namely discharge energy density, wire feed rate, spark frequency, wire tension, and spark gap voltage on average crater depth, material removal rate (MRR), and metallographic changes of Ni 55.95 Ti 44.05 shape memory alloy (SMA). The analysis of crater size during material removal in WEDC has been also discussed in this study. The three-dimensional surface topography at higher discharge energy density divulges the formation of deeper and wider craters with high surface roughness on the machined surface compared to lower discharge energy density. MRR and average crater depth increase with the increase in discharge energy density and decrease with the increase in spark frequency and spark gap voltage, whereas wire feed rate and wire tension have the trivial effect. The analysis of X-ray diffraction peaks of the machined surface shows the presence of various compounds such as NiTi, TiO, TiO 2 , Ni 4 Ti 3 , CuZn, Cu 2 NiZn, NiTiO 3 , and NiZn and tensile residual stress.

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“…Bisaria and Shandilya [16] used the WEDM process for the machining of Ni55.95Ti44.05 SMA. The influence of input parameters such as pulse on time (T on ), pulse off time (T off ), spark gap voltage (SV), wire tension (WT), wire feed rate (WF) has been studied on material removal rate (MRR), surface roughness (SR) and surface characteristics of material.…”

Section: Introductionmentioning

confidence: 99%

Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm

et al. 2019

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Nitinol, a shape-memory alloy (SMA), is gaining popularity for use in various applications. Machining of these SMAs poses a challenge during conventional machining. Henceforth, in the current study, the wire-electric discharge process has been attempted to machine nickel-titanium (Ni55.8Ti) super-elastic SMA. Furthermore, to render the process viable for industry, a systematic approach comprising response surface methodology (RSM) and a heat-transfer search (HTS) algorithm has been strategized for optimization of process parameters. Pulse-on time, pulse-off time and current were considered as input process parameters, whereas material removal rate (MRR), surface roughness, and micro-hardness were considered as output responses. Residual plots were generated to check the robustness of analysis of variance (ANOVA) results and generated mathematical models. A multi-objective HTS algorithm was executed for generating 2-D and 3-D Pareto optimal points indicating the non-dominant feasible solutions. The proposed combined approach proved to be highly effective in predicting and optimizing the wire electrical discharge machining (WEDM) process parameters. Validation trials were carried out and the error between measured and predicted values was negligible. To ensure the existence of a shape-memory effect even after machining, a differential scanning calorimetry (DSC) test was carried out. The optimized parameters were found to machine the alloy appropriately with the intact shape memory effect.

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Experimental studies on electrical discharge wire cutting of Ni-rich NiTi shape memory alloy

Cited by 57 publications

References 26 publications

Parametric study on the recast layer during EDWC of a Ni-rich NiTi shape memory alloy

Parametric study on the recast layer during EDWC of a Ni-rich NiTi shape memory alloy

Study on crater depth during material removal in WEDC of Ni-rich nickel–titanium shape memory alloy

Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm

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