Abstract
A chatter occurring in metal cutting causes a poor surface quality of product, an excessive tool wear, and a waste of workpiece materials and energy; limits the material removal rate, etc.; and leads to various negative effects. In recent years, for suppression of chatter, spindle speed variation (SSV) that changes the cutting speed continuously during processing in machine tools has interested the researchers. Mainly, studies have been done on assessment of the effectiveness of SSV technique using already given simple signal types such as triangular, rectangular or sinusoidal. However, among the previous works, studies to determine more efficient types of signals for suppression of chatter are very little. The present study proposes a method that composes the spindle speed variation in multi-harmonic series before optimally determines the number, the amplitudes, and the modulating frequencies of harmonic series, using firefly algorithm (FA) for suppressing more efficiently a chatter that occurs in turning. Firstly, after the number of harmonics, the amplitude and the fundamental frequency of multi-harmonic modulating signal of spindle are taken as optimum design variables and we set up an optimization problem such that the dynamic cutting force becomes minimal. We solve it using FA where the global search performance of FA is improved by changing the walk of fireflies nonlinearly with iteration number. We also present a convergence index that makes it possible to evaluate the performance of extremum search quantitatively. It is shown that it is reasonable to compose the spindle speed variation signal in multiple harmonic series if the fundamental frequency of SSV signal is low, in a single harmonic term if it is higher.
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Paek, R., Ha, SH. & Ri, SC. Optimal determination of spindle speed variation type for the suppression of chatter in turning. Int J Adv Manuf Technol 126, 2481–2496 (2023). https://doi.org/10.1007/s00170-023-11192-9
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DOI: https://doi.org/10.1007/s00170-023-11192-9