PSI - Issue 53
Carla M. Ferreira et al. / Procedia Structural Integrity 53 (2024) 254–263 Carla M. Ferreira / Structural Integrity Procedia 00 (2019) 000 – 000
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2.2. Data Collection For data collection, the Scopus bibliographic database developed by Elsevier was selected. Scopus is a source neutral abstract and citation database curated by independent subject matter experts who are recognized as leaders in their research and scientific fields. The authors of this work decided to rely on Scopus as the primary search tool due to its diffusion across the academic community, coverage, quality and the reliability of its selection of standards [8]. The most common and relevant terminology associated with L-PBF in the aeronautical sector were identified and the following inclusion and exclusion criteria were selected: (i) Document type must be article, conference paper, review, book or book chapter; (ii) Documents must be in English. For the development of the research string, four major research areas were used and overlapped, and the filters of title (“TITLE”), abstract (“ABS”) and keywords (“KEY”) were selected as appropriate. These four areas comprise the material one, with terms related to “metal”, “alloy” and “superalloy” ; the Aeronautical Sector, addressing the “aerospace”, “aeronautical” , “aviation” and other related terms; and the AM field and derived terms such as “additive manufacturing”, “3d printing”, “layer manufactured” a nd “rapid prototyping” , since various terms are still frequently used to indicate this terminology. Since the present work addresses only the L-PBF family, the research string was further narrowed by adding the process related terms such as “laser powder bed fusion” and “selective laser melting”. The decision of confining the research to the aeronautical sector was made with the purpose of making sure that the retrieved documents were specifically addressing this sector to avoid disperse and fragmented literature results. Fig. 1 shows the exact code used in the advanced document search option available in Scopus.
Fig. 1. Research string used in Scopus database.
This query resulted in 429 documents that were exported in CVS format to excel, containing all the available information. In order to have a reliable dataset for analysis, data cleaning and screening were performed. Duplicated items were removed in excel by using the excel filter tool on “Authors”, “Title” and “Year” field s, eliminating only the documents with the same data in all fields. To eliminate duplicates that might have passed the previous step, the “ Conditional Formatting” was used to highlight the duplicated titles. These duplicates exist when the same document is published for instance in an article and in a conference paper. Preference was given to the article document type versions, the others were eliminated and futher screening was made manually by reading the titles, abstracts or the whole paper if necessary to elimiate irrelevant documentation. This approch may reduce the reproducibility and repeatability of the process but maximizes the accuracy and trustworthiness of data to be analysed.
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