Wire electric discharge machining characteristics of titanium nickel shape memory alloy

M. Manjaiah, S. Narendranath, S. Basavarajappa, V. N. Gaitonde

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

TiNi shape memory alloys (SMAs) have been normally used as the competent elements in large part of the industries due to outstanding properties, such as super elasticity and shape memory effects. However, traditional machining of SMAs is quite complex due to these properties. Hence, the wire electric discharge machining (WEDM) characteristics of TiNi SMA was studied. The experiments were planned as per L27 orthogonal array to minimize the experiments, each experiment was performed under different conditions of pulse duration, pulse off time, servo voltage, flushing pressure and wire speed. A multi-response optimization method using Taguchi design with utility concept has been proposed for simultaneous optimization. The analysis of means (ANOM) and analysis of variance (ANOVA) on signal to noise (S/N) ratio were performed for determining the optimal parameter levels. Taguchi analysis reveals that a combination of 1 μs pulse duration, 3.8 μs pulse off time, 40 V servo voltage, 1.8×105 Pa flushing pressure and 8 m/min wire speed is beneficial for simultaneously maximizing the material removal rate (MRR) and minimizing the surface roughness. The optimization results of WEDM of TiNi SMA also indicate that pulse duration significantly affects the material removal rate and surface roughness. The discharged craters, micro cracks and recast layer were observed on the machined surface at large pulse duration.

Original languageEnglish
Pages (from-to)3201-3209
Number of pages9
JournalTransactions of Nonferrous Metals Society of China (English Edition)
Volume24
Issue number10
DOIs
Publication statusPublished - 01-01-2014

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Electric discharge machining
electric discharges
nickel alloys
shape memory alloys
Titanium
Nickel
Shape memory effect
machining
titanium
nickel
wire
Wire
pulse duration
flushing
surface roughness
optimization
Surface roughness
Taguchi methods
analysis of variance
experiment

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Geotechnical Engineering and Engineering Geology
  • Metals and Alloys
  • Materials Chemistry

Cite this

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title = "Wire electric discharge machining characteristics of titanium nickel shape memory alloy",
abstract = "TiNi shape memory alloys (SMAs) have been normally used as the competent elements in large part of the industries due to outstanding properties, such as super elasticity and shape memory effects. However, traditional machining of SMAs is quite complex due to these properties. Hence, the wire electric discharge machining (WEDM) characteristics of TiNi SMA was studied. The experiments were planned as per L27 orthogonal array to minimize the experiments, each experiment was performed under different conditions of pulse duration, pulse off time, servo voltage, flushing pressure and wire speed. A multi-response optimization method using Taguchi design with utility concept has been proposed for simultaneous optimization. The analysis of means (ANOM) and analysis of variance (ANOVA) on signal to noise (S/N) ratio were performed for determining the optimal parameter levels. Taguchi analysis reveals that a combination of 1 μs pulse duration, 3.8 μs pulse off time, 40 V servo voltage, 1.8×105 Pa flushing pressure and 8 m/min wire speed is beneficial for simultaneously maximizing the material removal rate (MRR) and minimizing the surface roughness. The optimization results of WEDM of TiNi SMA also indicate that pulse duration significantly affects the material removal rate and surface roughness. The discharged craters, micro cracks and recast layer were observed on the machined surface at large pulse duration.",
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Wire electric discharge machining characteristics of titanium nickel shape memory alloy. / Manjaiah, M.; Narendranath, S.; Basavarajappa, S.; Gaitonde, V. N.

In: Transactions of Nonferrous Metals Society of China (English Edition), Vol. 24, No. 10, 01.01.2014, p. 3201-3209.

Research output: Contribution to journalArticle

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