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This article is the result of the work in Project AGL2013-44631-P in the National R+D+i programme of the Ministry of Economy and Competitiveness, Spain.

Analysis of institutional authors

Laina, RubenCorresponding AuthorSanz-Lobera, AlfredoAuthorVignote, SantiagoAuthor

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EFFECT OF THE ANATOMICAL STRUCTURE, WOOD PROPERTIES AND MACHINING CONDITIONS ON SURFACE ROUGHNESS OF WOOD

Publicated to:Maderas-Ciencia Y Tecnologia. 19 (2): 203-212 - 2017-01-01 19(2), DOI: 10.4067/S0718-221X2017005000018

Authors: Laina, Ruben; Sanz-Lobera, Alfredo; Villasante, Antonio; Lopez-Espi, Pablo; Antonio Martinez-Rojas, Jose; Alpuente, Jesus; Sanchez-Montero, Rocio; Vignote, Santiago

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Abstract

The main aim is to test the influence of anatomical structure (grain direction and elements size), wood hardness and machining conditions on wood surface roughness. 180 samples defect-free were obtained from beech, oak and pine and processed with different machining methods (planning, sanding with 60 grit or sanding with 180 grit). Roughness, hardness, and anatomical structure were analysed using international methodologies. An analysis of variance of the data from all the samples with the four factors in the experimental design were performed. Results showed that machining processes and species are the factors that significantly affect surface roughness, as opposed to grain direction (plane of section and stylus-grain angle), which was only shown to be significant in some subgroups. Roughness parameters of samples sanded with 180 grit were lower in contrast to samples planned or sanded with 60 grit. Hardness was found to be the property of the wood that most clearly affects its final roughness, and makes it difficult to achieve better roughness results as the hardness increases.

Keywords

Fagus sylvaticaGrit sizeHardnessPinus sylvestrisQuercus albaRoughness

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Maderas-Ciencia Y Tecnologia due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2017, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Industrial and Manufacturing Engineering.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.91. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.5 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 4.2 (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-01, the following number of citations:

  • WoS: 29
  • Scopus: 31
  • OpenCitations: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-01:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 33.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 33 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 0.5.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (LAINA RELAÑO, RUBEN) and Last Author (VIGNOTE PEÑA, SANTIAGO).

the author responsible for correspondence tasks has been LAINA RELAÑO, RUBEN.