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• W2461178960 abstract "Feedrate optimization for computer numerically controlled (CNC) machine tools is a challenging task that is growing in importance as manufacturing industry demands faster machine tools. The majority of research in this area focusses on optimizing feedrate using modeled process constraints. Some researchers have suggested using measured process parameters instead. The former approach suffers from uncertainties in the modeled process data that is the starting point of the optimization. The latter approach has difficulties achieving high levels of optimality. This study proposes the combination of both modeled and measured process data. To this end, a control architecture is described that allows combining measured and modeled process constraints. Within this architecture, a new algorithm to determine time optimum feedrates using modeled velocity and acceleration constraints is proposed. The new control structure including the novel feedrate optimization algorithm is verified experimentally on a high speed biaxial table." @default.
• W2461178960 created "2016-07-22" @default.
• W2461178960 creator A5000770562 @default.
• W2461178960 creator A5060401469 @default.
• W2461178960 date "2016-08-15" @default.
• W2461178960 modified "2023-09-23" @default.
• W2461178960 title "Feedrate Optimization for Computer Numerically Controlled Machine Tools Using Modeled and Measured Process Constraints" @default.
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• W2461178960 doi "https://doi.org/10.1115/1.4033933" @default.
• W2461178960 hasPublicationYear "2016" @default.
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