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Optimal machining conditions for turning Ti-6Al-4V using response surface methodology AITranslate

National Institute of Technology; National Institute of Technology
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Publisher: Springer Nature
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Abstract AITranslate

Machining titanium is one of ever-increasing magnitude problems due to its characteristics such as low thermal conductivity, modulus of elasticity and work hardening. The efficient titanium alloy machining involves a proper selection of process parameters to minimize the tangential force (F z) and surface roughness (R a). In the present work, the performance of PVD/TiAlN coated carbide inserts was investigated using response surface methodology (RSM) for turning Ti-6Al-4V. The effects of process parameters such as speed (v), feed (f), depth of cut (d) and back rake angle (γ y ) on F z and R a were investigated. The experimental plan used for four factors and three levels was designed based on face centered, central composite design (CCD). The experimental results indicated that F z increased with the increase in d, f and decreased with the increase in v and γ y , whereas R a decreased with the increase in v and γ y , and increased with d and v. The goodness of fit of the regression equations and model fits (R 2) for F z and R a were found to be 0.968 and 0.970, which demonstrated that it was an effective model. A confirmation test was also conducted in order to verify the correctness of the model.

KeyWords AITranslate

Ti6Al4V Response surface methodology Cutting force Surface roughness
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Basic Information:

DOI:https://doi.org/10.1007/s40436-013-0047-9

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Citation Information:

Machining titanium is one of ever-increasing magnitude problems due to its characteristics such as low thermal conductivity, modulus of elasticity and work hardening. The efficient titanium alloy machining involves a proper selection of process parameters to minimize the tangential force (F z) and surface roughness (R a). In the present work, the performance of PVD/TiAlN coated carbide inserts was investigated using response surface methodology (RSM) for turning Ti-6Al-4V. The effects of process parameters such as speed (v), feed (f), depth of cut (d) and back rake angle (γ y ) on F z and R a were investigated. The experimental plan used for four factors and three levels was designed based on face centered, central composite design (CCD). The experimental results indicated that F z increased with the increase in d, f and decreased with the increase in v and γ y , whereas R a decreased with the increase in v and γ y , and increased with d and v. The goodness of fit of the regression equations and model fits (R 2) for F z and R a were found to be 0.968 and 0.970, which demonstrated that it was an effective model. A confirmation test was also conducted in order to verify the correctness of the model.

quote

GB/T 7714-2015 [1] Satyanarayana Kosaraju, Venu Gopal Anne. Advances in Manufacturing, 2013(1). DOI:10.1007/s40436-013-0047-9.
MLA [1] Satyanarayana Kosaraju, and Venu Gopal Anne. Advances in Manufacturing, no. 1, 2013, https://doi.org/10.1007/s40436-013-0047-9.
APA [1] Satyanarayana Kosaraju, & Venu Gopal Anne. (2013). Advances in Manufacturing(1). https://doi.org/10.1007/s40436-013-0047-9
IEEE [1] Satyanarayana Kosaraju and Venu Gopal Anne, Advances in Manufacturing, no. 1, 2013, doi: 10.1007/s40436-013-0047-9. keywords: {Ti6Al4V;Response surface methodology;Cutting force;Surface roughness}