Abstract Titanium and its alloys have many potential engineering applications. There has been a critical need for cost-effective machining processes for titanium and its alloys. Not much work hitherto has been reported on the machining of tough materials like titanium by the ultrasonic machining process. An approach to macromodelling of the material removal rate, the tool wear rate, and surface roughness during ultrasonic machining of titanium and its alloys has been proposed and applied. Relationships between material removal rate (MMR), tool wear rate (TWR), surface roughness (SR), and other controllable machining parameters have been deduced by using Taguchi technique L18 orthogonal arrays. The comparison with experimental results will also serve as future validation of the model.
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