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    Tytuł:
    Evaluation of the Optimum Machining Stability of a Milling Tool with Different Flutes and Overhangs
    Autorzy:
    Lin, Yung-Chih
    Wu, Kung-Da
    Shih, Wei-Cheng
    Hung, Jui-Pin
    Powiązania:
    https://bibliotekanauki.pl/articles/102194.pdf
    Data publikacji:
    2019
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    machining stability
    material remove rate
    milling cutter
    tooling condition
    stabilność obróbki
    szybkość usuwania materiału
    frez
    stan narzędzi
    Opis:
    In machining practice, the selection of the tooling condition of the cutters is an important task for milling operation with better surface quality and material remove rates. This study was therefore aimed at evaluating the influence of the tooling condition, such as the flutes and overhang length, on the machining efficiency of a milling machine by using the machining stability analysis method. Essentially, the machining stability was calculated based on the measured frequency response functions of the milling cutter, while it was also affected by the changing milling tooling path. Therefore, the machining stabilities in different feeding directions, referred to as polar stability boundary, were evaluated to show the strength and weakness of a specific cutter in contouring machining. The current results show that the overhang length greatly affects the dynamic characteristics and the limited cutting depths of the milling cutter. The stability boundaries of the machining conditions can be enhanced by appropriately adjusting the overhang of the milling cutter. Besides, the 2-flute cutter shows a larger cutting depth for surface contouring as compared to the 4-flute cutter, which is expected to increase the material remove rate under stable machining. As a whole, this study provides valuable references for enhancing the machining efficiency through the use of different tooling conditions.
    Źródło:
    Advances in Science and Technology. Research Journal; 2019, 13, 2; 56-64
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of Surface Roughness based on the Machining Conditions with the Effect of Machining Stability
    Autorzy:
    Lin, Yung-Chih
    Chen, You-Chen
    Wu, Kung-Da
    Hung, Jui-Pin
    Powiązania:
    https://bibliotekanauki.pl/articles/102332.pdf
    Data publikacji:
    2020
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    machining conditions
    machining stability
    regression analysis
    surface roughness
    warunki obróbki
    stabilność obróbki
    analiza regresji
    chropowatość powierzchni
    Opis:
    This study was aimed at analyzing the influence of the cutting parameters (spindle speed, feed rate and cutting depth) on the surface roughness of the machined parts with the influence of the machining stability of the cutter. In order to consider the chattering effect, the machining stabilities were calculated based on the measured tool tip frequency response functions. A series of machining tests were conducted on aluminum workpieces under different cutting parameters. Then, the surface roughness prediction models in the form of nonlinear quadratic and power-law functions were established based on the multivariable regression method, in which the input parameters, cutting depth and spindle speed, were respectively defined in the stable and unstable regions, according to the stability lobes diagram. The current results show that both models built with the cutting parameters defined in stable regions demonstrate higher prediction accuracy of the surface roughness, about 90%, when compared with the models defined in full regions with the accuracy of about 80%. In particular, the power-law model is proven to have 90% prediction accuracy when validated with the cutting parameters in a stable region. As a conclusion, the mathematical models based on the cutting parameters with well-defined machining stability were proven to show more accurate prediction ability of the surface roughness. It could be expected that the prediction model can further be applied to optimize the machining conditions in low speed roughing and high speed finishing process with desirable surface quality.
    Źródło:
    Advances in Science and Technology. Research Journal; 2020, 14, 2; 171-183
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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