2021
DOI: 10.1016/j.matpr.2021.05.252
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Optimization of cutting temperature in machining of titanium alloy using Response Surface Method, Genetic Algorithm and Taguchi method

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Cited by 10 publications
(2 citation statements)
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“…Relative higher cutting temperatures produced thermal softening effects, making the tool more susceptible to wear or breakage [23]. By considering the problems associated with high cutting temperature and high bonding at the tool working interface for titanium alloy machining, the optimal parameters for the best cutting conditions were obtained [24]. The cutting temperatures of turning super duplex stainless steel (SDSS) under dry cutting, wet cutting and air-cooled cutting conditions were investigated, and it was concluded that air-cooled machining has better cutting performance [25].…”
Section: Introductionmentioning
confidence: 99%
“…Relative higher cutting temperatures produced thermal softening effects, making the tool more susceptible to wear or breakage [23]. By considering the problems associated with high cutting temperature and high bonding at the tool working interface for titanium alloy machining, the optimal parameters for the best cutting conditions were obtained [24]. The cutting temperatures of turning super duplex stainless steel (SDSS) under dry cutting, wet cutting and air-cooled cutting conditions were investigated, and it was concluded that air-cooled machining has better cutting performance [25].…”
Section: Introductionmentioning
confidence: 99%
“…This complexity arises due to the competition between various microstructural features and their cumulative effect on fracture toughness and tensile properties. Kadam et al [29] employed Taguchi method to quantify the relative effects of β grain size and solid solution aging process parameters on the mechanical properties of the alloy. Fan et al [30] conducted fracture toughness tests on Ti-7333 alloy at room temperature to understand the fracture mechanism.…”
Section: Introductionmentioning
confidence: 99%