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• W103683177 abstract "The goals of any kind of modeling method are to predict physical behavior from known a priori conditions. Metal cutting poses great obstacles in comparison with other metal-processing operations. Armarego and colleagues, created one of the most comprehensive data, based on practical machining operations from which average forces and torque trends were curve fitted,using multivariable regression analysis. These provide empirical-type equations involving all the relevant operation variables. Armarego has used these empirical-type equations in the development of constrained optimization analyses and software for selecting machining conditions (e.g. feed and speed) for optimum economic performance. The processes considered include: high-speed steel, point-thinned general-purpose drills, high-speed steel, end-milling cutters, and flat-faced turning tools. From a pure research viewpoint, the empirical approach is sometimes criticized for relying on the original laboratory testing data. The underlying assumption behind the mechanistic methods is that the cutting forces are proportional to the uncut chip area. The constant of proportionality depends on the cutting conditions, cutting geometry, and material properties. In the finite element analysis model, four different approaches to formulating and calculating the properties of individual elements include: direct approach, variational approach, weighted residuals approach, and energy balance approach." @default.
• W103683177 created "2016-06-24" @default.
• W103683177 creator A5017906100 @default.
• W103683177 creator A5074765175 @default.
• W103683177 date "2000-01-01" @default.
• W103683177 modified "2023-10-16" @default.
• W103683177 title "Modeling of metal cutting" @default.
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• W103683177 doi "https://doi.org/10.1016/b978-075067069-2/50014-0" @default.
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