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- W1521374733 abstract "The machining of hard metals historically has been understood to be challenging andcostly due to its material properties (such as titanium’s low thermal conductivity and highhardness, and nickel’s rapid work-hardening and high strength at elevated temperatures) andlimited understanding in industry of the physics behind chip formation and material removal.The achievement of meaningful cycle time reductions while maintaining part quality dependson a capability to model the physics of hard metal machining operations. With the help of avalidated toolpath analysis model that can predict forces at each cutter location, cycle timesand scrap can be reduced and machine breakdown can be avoided, all through off-line analysis.Productivity and process efficiency can be improved through simulation, drastically reducingtesting setup and machining time. Physics-based modeling technology has been identified as acost-effective solution for identifying optimum cutting speeds, enabling researchers and man-ufacturers to increase material removal rates, reduce machining costs, and enhance industryexpertise in hard metal machining best practices. This paper presents new advances to physics-based modeling that have been validated using experimental tests and comparisons with finiteelement milling simulations, used to compare different process parameters and resulting mate-rial removal rates, and successfully advance hard metal machining processes." @default.
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- W1521374733 date "2013-01-01" @default.
- W1521374733 modified "2023-09-27" @default.
- W1521374733 title "New Advances in the Machining of Hard Metals using Physics-Based Modeling" @default.
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