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Data-driven simulations of flank wear of coated cutting tools in hard turning

“…Ali and Dhar [19] modeled wear of uncoated carbide insert in turning medium-carbon steel under minimum quantity lubrication using an ANN with BP paradigm and L learning algorithm as a function of cutting speed, feed rate, depth of cut, and marching time which yielded a validation-based R 2 value of 96.4%. MNLRbased modeling of wear of PVD TiN/TiCN/TiN-coated carbide insert in the machining of a nimonic C-263 nickelbase alloy resulted in validation-based R 2 values of 69.5% for an exponential model and 99.9% for a polynomial model as a function of cutting speed, coolant concentration, depth of cut, and feed rate [20]. Ranganathan and Senthilvelan [21] developed MNLR models of wear on the rake face of tungsten carbide inserts due to hot turning of AISI 316 stainless steel as a function of cutting speed, feed rate, depth of cut, and their interaction terms under three temperatures whose validation-based R 2 values were 88.8% for 200°C, 83.7% for 400°C, and 44.3% for 600°C.…”

Effect of Post‐heat Treatment on the Tensile and Cryogenic Impact Toughness Properties of Inconel 718 Manufactured by Selective Laser Melting

“…Inconel 718 alloy is a Ni–Cr–Fe‐based superalloy, and it has outstanding strength, creep, and fatigue properties, as well as superior wear resistance and corrosion resistance at a wide temperature range of −269 to 650 °C. [ 1–3 ] Such characteristics allow it to be used in various applications as components exposed to extreme conditions such as in aerospace, nuclear powerplant, crude oil, and mining industries. [ 4,5 ] Inconel 718 alloy components have been mainly manufactured by conventional cast or wrought processes.…”