Abstract
Atomic force microscopy (AFM) is a kind of scanning probe microscopy which results in precise and accurate 2D and 3D images for examining surface topography and morphology in quantitative and qualitative terms. The main objective of this research is to characterize the surface integrity of machined samples by employing atomic force microscopy (AFM). The secondary aim is to accomplish statistical analysis of surface roughness based on different sets of machining parameters. In the current research, Taguchi’s L16 orthogonal arrays are adopted, and sixteen numbers of Ti6Al4V samples have been produced by utilizing the wire electrical discharge machining (WEDM). A comparison has also been made by probing the surface topographies, cross-sectional profiles, and roughness graphs to confirm the influence of machining parameters on the surface quality of machined samples. Through statistical analysis, the cutting voltage is found the most significant machining variable which influences the response variable.
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Abbreviations
- EDM:
-
Electrical discharge machining
- S a :
-
Surface roughness
- ANOVA:
-
Analysis of variance
- SS:
-
Sums of squares
- MS:
-
Mean of square
- F :
-
Fisher’s ratio
- DF:
-
Degree of freedom
- AFM:
-
Atomic force microscope
References
S. Sarkar, S. Mitra, B. Bhattacharyya, Parametric analysis and optimization of wire electrical discharge machining of γ-titanium aluminide alloy, J. Mater. Process. Technol. 159 (2005) 286–294. https://doi.org/10.1016/j.jmatprotec.2004.10.009.
S. Shakeri, A. Ghassemi, M. Hassani, Investigation of material removal rate and surface roughness in wire electrical discharge machining process for cementation alloy steel using artificial neural network, Int. J. Adv. Manuf. Technol. 82 (2016) 549–557. https://doi.org/10.1007/s00170-015-7349-y.
T. A. Spedding, Z. Q. Wang, Parametric optimization and surface characterization of wire electrical discharge machining process, Precis. Eng. 20 (1997) 5–15.
M. Altug, M. Erdem, C. Ozay, Experimental investigation of kerf of Ti6Al4V exposed to different heat treatment processes in WEDM and optimization of parameters using genetic algorithm, Int. J. Adv. Manuf. Technol. 78 (2015) 1573–1583. https://doi.org/10.1007/s00170-014-6702-x.
K.T. Hoang, S.H. Yang, Kerf analysis and control in dry micro-wire electrical discharge machining, Int. J. Adv. Manuf. Technol. 78 (2015) 1803–1812.
V. Aggarwal, S.S. Khangura, R.K. Garg, Parametric modeling and optimization for wire electrical discharge machining of Inconel 718 using response surface methodology, Int. J. Adv. Manuf. Technol. 79 (2015) 31–47. https://doi.org/10.1007/s00170-015-6797-8.
C.R.A. Valois, L.P. Silva, R.B. Azevedo, Multiple Autoclave Cycles Affect the Surface of Rotary Nickel-Titanium Files : An Atomic Force Microscopy Study, J. Endodontics 34 (2008) 859–862. https://doi.org/10.1016/j.joen.2008.02.028.
S. Gebhard, F. Pyczak, M. Göken, Microstructural and micromechanical characterisation of TiAl alloys using atomic force microscopy and nanoindentation, Mater. Sci. Eng. 523 (2009) 235–241. https://doi.org/10.1016/j.msea.2009.05.068.
S. Sevim, S. Tolunay, H. Torun, Micromachined sample stages to reduce thermal drift in atomic force microscopy, Microsyst. Technol. 21 (2015) 1559–1566. https://doi.org/10.1007/s00542-014-2251-3.
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Tonday, H.R., Singh, P.K., Tigga, A.M. (2019). Atomic Force Microscopic Characterization of Wire Electrical Discharge Machined Samples. In: Chattopadhyay, J., Singh, R., Prakash, O. (eds) Innovation in Materials Science and Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-2944-9_17
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DOI: https://doi.org/10.1007/978-981-13-2944-9_17
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