2015
DOI: 10.15376/biores.10.4.7618-7626
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Effect of Selected Parameters on the Surface Waviness in Plane Milling of Thermally Modified Birch Wood

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Cited by 24 publications
(21 citation statements)
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“…Generally, Pt increased with the feed speed, and it was smaller when a lower cutting speed was used. This result was comparable to the findings of Gaff et al (2015), who measured the waviness as expressed by the Wa (arithmetical mean deviation of the waviness profile) parameter for plane milling of birch wood. Wa is similar to Ra, but applies to the waviness profile.…”
Section: Surface Roughnesssupporting
confidence: 89%
“…Generally, Pt increased with the feed speed, and it was smaller when a lower cutting speed was used. This result was comparable to the findings of Gaff et al (2015), who measured the waviness as expressed by the Wa (arithmetical mean deviation of the waviness profile) parameter for plane milling of birch wood. Wa is similar to Ra, but applies to the waviness profile.…”
Section: Surface Roughnesssupporting
confidence: 89%
“…Barcík et al (2014) found the maximal surface roughness at a temperature of 210 °C and 240 °C at that feed rate, but the values were approximately one half of those. Kvietková et al (2015a) and Gaff et al (2015) also found the same effect of feed rate on the wood surface roughness.…”
Section: Fig 8 Analysis Of Variance For the Dependence Of Surface Rmentioning
confidence: 61%
“…On the sample without thermal treatment, the best surface finish was at a cutting speed of 40 m·s -1 . Barcík et al (2014), Kvietková et al (2015a), and Gaff et al (2015) also confirmed the fact that the increased cutting speed reduced the surface roughness. …”
Section: Effect Of Cutting Speed On the Surface Roughnessmentioning
confidence: 72%
“…), and the produced wood chips (size, grain size distribution, etc.) depend on the physical and mechanical properties of the machined material; the shape, size, number of teeth, geometry, sharpness of the cutting tool; and the technical and technological conditions of the machining process (Kilic et al 2006;Barcík and Gašparík 2014;Krilek et al 2014;Gaff et al 2015;Kvietková et al 2015;Gaff et al 2016).…”
Section: Introductionmentioning
confidence: 99%