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The effect of the granulometric composition of beech chips from a CNC machining center on the environmental separation technique
Title The effect of the granulometric composition of beech chips from a CNC machining center on the environmental separation technique Author info Martin Kučerka ... [et al.] Author Kučerka Martin 1980- (30%) UMBFP07 - Katedra techniky a technológií
Co-authors Očkajová Alena 1961- (25%) UMBFP07 - Katedra techniky a technológií
Kminiak Richard (25%)
Pędzik Marta (10%)
Rogozinski Tomasz (10%)
Source document Acta Facultatis Xylologiae Zvolen. Roč. 64, č. 1 (2022), s. 89-97. - Zvolen : Technická univerzita vo Zvolene, 2022 Keywords drevospracujúci priemysel drevo - wood ekológia - ecology Form. Descr. články - journal articles Language Slovak Country Slovak Republic Annotation The aim of the paper is to determine the granulometric composition of chip removed from the beech lumber milling process using a CNC machining center SCM Tech Z5 in the range of commonly used technical and technological parameters under standard conditions of feed speed: v(f) = 1 divided by 5 m.min(-1) and the thickness of the removed layer: e = 1, 3 and 5 mm. Another goal of the paper was to select a suitable separation technique that would be sufficient to effectively capture the largest possible dispersion of fractions in the beech lumber milling process. Granulometric analysis showed that under the given conditions in the milling process the largest proportion of coarse and medium coarse fraction is formed and particles with a size smaller than 32 mu m are not formed. For this reason, it is our recommendation to choose a combination of dry mechanical separators together with fabric filters, as mechanical separators are able to capture mainly larger particle fractions. Fabric filters would serve to trap any finer particles, thus saving the user from greater wear of the coarse and medium coarse fractions, which would increase the wear of the filter cloth to an increased extent. URL Link na plný text Public work category ADN No. of Archival Copy 51836 Repercussion category KOLEDA, Pavol - KOLEDA, Peter - HRČKOVÁ, Mária - JÚDA, Martin - HORTOBÁGYI, Áron. Experimental granulometric characterization of wood particles from CNC machining of chipboard. In Applied sciences. ISSN 2076-3417, 2023, vol. 13, no. 9, pp. 1-15.
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