2016
DOI: 10.1007/s12206-015-1239-y
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Predicting surface quality of γ-TiAl produced by additive manufacturing process using response surface method

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Cited by 22 publications
(9 citation statements)
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“…Al-Ahmari et al [41] studied the effect of the milling process parameters (spindle speed, feed rate, depth of cut, and coolant type) on the surface roughness of γ-TiAl EBM parts. However, this study did not take into account the effect of the EBM part orientations.…”
Section: Introductionmentioning
confidence: 99%
“…Al-Ahmari et al [41] studied the effect of the milling process parameters (spindle speed, feed rate, depth of cut, and coolant type) on the surface roughness of γ-TiAl EBM parts. However, this study did not take into account the effect of the EBM part orientations.…”
Section: Introductionmentioning
confidence: 99%
“…As new class of lightweight and high-temperature resistance materials, γ-TiAl alloys have attracted more attention in the aerospace manufacturing fields due to their unique combination of mechanical properties [1]. γ-TiAl is a kind of intermetallic alloys that mainly contains Ti and Al, and adding elements like Cr or Mn to improve ductility and Nb to increase strength and oxidation resistance [2].…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, it was found that for samples electropolished in a bath with ER, many results were lower than 0.5 V SCE , while for samples electropolished in a bath without ER, most of the results exceeded this value. Due to this, the authors decided to analyse the significance of differences between the obtained results with use of data analysis methods used in various types of data evaluation, among others in medicine, chemical analysis, or engineering [31][32][33][34]. e normality analysis with use of the Shapiro-Wilk test did not show a significant deviation from normal distribution.…”
Section: Corrosion Resistance Testsmentioning
confidence: 99%