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Surface roughness of edge glued panels (EGP) of amazon maneged species

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NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/Surface_roughness_of_edge_glued_panels_EGP_of_amazon_maneged_species/11930169
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ABSTRACT In the Amazon, the sustainable use of wood is associated with technological research that indicates industrial use. Surface roughness of wood is an important criterion for assessing tool condition, machining performance and product quality. The objective of this study was to evaluate the surface roughness of five Amazonian woods used in the manufacture of EGP (Edge Glued Panels).The woods Angelim pedra, Angelim vermelho, Breu vermelho, Murici and Piãozinho, obtained from managed areas of the Amazon, were used in the manufacture of EGP panels. Surface treatments were performed with 120 and 180 grit sandpaper. Surface ripples (roughness) were measured using a digital roughness meter with needle (n = 180 readings). Physical and mechanical tests were performed on both wood and EGP samples, to verify the possible relationship between these properties and roughness. EGP Piãozinho presented better surface quality, which consists of lower roughness (lower surface wave height), while EGP Angelim pedra presented uneven surfaces. Surface quality was satisfactory when 120 grain sandpaper was applied to most products. The results showed a highly significant effect of roughness such as the physical-mechanical properties. The highlight of the study is the wood and EGP Piãozinho, because in all the tests, it always presented the best performances.

摘要 在亚马逊地区,木材的可持续利用与指向工业化应用的技术研究紧密相关。木材表面粗糙度是评估刀具状态、加工性能与产品质量的重要指标。本研究旨在评估5种用于制造EGP(Edge Glued Panels)的亚马逊木材的表面粗糙度。本研究采用取自亚马逊管理林区的Angelim pedra、Angelim vermelho、Breu vermelho、Murici及Piãozinho五种木材制备EGP板材,分别使用120目与180目砂纸开展表面处理。采用带探针的数字粗糙度仪测量表面波纹(即粗糙度),共采集180组读数。对木材及EGP试样进行物理与力学性能测试,以验证上述性能与粗糙度之间的潜在关联。结果显示,Piãozinho材质的EGP板材表面质量更优,表现为更低的粗糙度(更小的表面波纹高度),而Angelim pedra材质的EGP板材表面存在不均现象;采用120目砂纸处理的多数产品表面质量均符合要求。研究表明,粗糙度对物理力学性能存在极显著影响。本研究的亮点在于Piãozinho木材及其制备的EGP板材,其在所有测试中均展现出最优性能。
创建时间:
2019-03-01
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