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An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152
(Elsevier Ltd., 2018)
A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the feed rate and cutting ...
Mechanics of milling 48-2-2 gamma titanium aluminide
(Elsevier Ltd., 2020)
Accurate and fast prediction of cutting forces is important in high-performance cutting in the aerospace industry. Gamma titanium aluminide (γ-TiAl) is a material of choice for aerospace and automotive applications due to ...
Roughness maps to determine the optimum process window parameters in face milling
(Elsevier Ltd., 2022)
Some industrial applications require structured surfaces with high roughness values to ensure their functionality (Ra > 1 µm, Rmax < 30 µm). In order to obtain these structured surfaces with high roughness values, face ...