2021
DOI: 10.1016/j.cirpj.2020.11.006
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The energetic characteristics of milling with changing cross-section in the definition of specific cutting force by FEM method

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Cited by 19 publications
(7 citation statements)
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“…From the applied algorithms, SVR achieved the best performance and with this machine learning algorithm, the required cutting force during milling procedures was calculated. FEM simulation validated by experiment research on C45 material to study the characteristics of milling with changing cross-sections showed chip ratio equal to one must be avoided from an energy point of view [18]. In the same research, the recommendation given regarding the chip ratio is a p /f z < 1.…”
mentioning
confidence: 89%
“…From the applied algorithms, SVR achieved the best performance and with this machine learning algorithm, the required cutting force during milling procedures was calculated. FEM simulation validated by experiment research on C45 material to study the characteristics of milling with changing cross-sections showed chip ratio equal to one must be avoided from an energy point of view [18]. In the same research, the recommendation given regarding the chip ratio is a p /f z < 1.…”
mentioning
confidence: 89%
“…Kundrák és szerzőtársai a marás energetikai jellemzőit vizsgálták, különös tekintettel a leválasztott keresztmetszet alakjára (Kundrák et al, 2021a). Az energetikai elemzést a Third Wave AdvantEdge FEM szoftverrel végezték, a marás szimulációs módszerét pedig forgácsolóerő mérésekkel validálták.…”
Section: A Forgácsolóerő Modellezéseunclassified
“…Residual compressive stress can suppress fatigue failure of the product and prolong fatigue life. Combining with experiments, the Finite Element Method (FEM) (Kundrák et al, 2021) can describe the changing process of some physical quantities with time in the processing as realistically and intuitively as possible. For the cutting force and residual stress, the FEM with experiments were used to study and improve the whirlwind milling.…”
Section: Introductionmentioning
confidence: 99%