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• W4377102793 abstract "The cutting force is a critical parameter in machining. The measured data is impacted by noise created from machining environment and data acquisition equipment. It can decrease the fitting quality of the cutting forces at high frequencies which constitutes the main concern of this study. This paper presents an optimized fit of the cutting forces model in the frequency domain in milling. The optimization process is performed by means of the minimization of the error function defined by the difference between the measured and predicted Fast Fourier Transformations of the force. The number of harmonics affects the deviation of the fit, so this study evaluates the optimal number of harmonics for the determination of the force coefficients in the fitting model of 2-fluted mills. A comprehensive set of parameters are investigated to define optimal parameter selection. The results show the ability to fit cutting forces with reduced harmonics, leading to a lower deviation of the fit and a potential improvement in computation time. The shifted linear model presents a better fit, particularly at high material removal rates. The results at the small tool diameter have shown poor quality of the fit, especially at low material removal rates. The proposed optimization method has potential applications in the industry for fast force prediction, leading to improved machining performance." @default.
• W4377102793 created "2023-05-20" @default.
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• W4377102793 date "2023-08-01" @default.
• W4377102793 modified "2023-10-11" @default.
• W4377102793 title "Optimization of cutting force fitting model by Fast Fourier Transformation in milling" @default.
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• W4377102793 doi "https://doi.org/10.1016/j.jmapro.2023.05.046" @default.
• W4377102793 hasPublicationYear "2023" @default.
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