Peer-reviewed articles 17,970 +



Title: DATA SET ANALYSIS OF THE COMPOSITE MATERIALS WITH THIN PROFILE USING DESCRIPTIVE STATISTICS

DATA SET ANALYSIS OF THE COMPOSITE MATERIALS WITH THIN PROFILE USING DESCRIPTIVE STATISTICS
Carmen Mihai Student Alina Florentina Vladu Eng. Alexandra Gabriela Ene Student Laurentiu Dinca
10.5593/sgem2023v/4.2
1314-2704
English
23
4.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Composite materials are widely used in high-tech fields of industry, especially in the aeronautical and aerospace industry, land and water transport. Weight reduction, high creep resistance, very good damping deformations compared to traditional materials, represent some of the advantages for these materials’ usage. The studies carried out aim to determine the evolution of the physical-mechanical characteristics of a composite material with a thickness of less than 1 mm, using descriptive statistics techniques. In this context, the following four differentiated systems were tested in the accredited laboratories: CM – continuous structure composite material, P1 joined panel (the upper mark on the weft direction and the lower one tilted at 45° - Method 1), P2 joined panel (the upper mark on the warp direction and the lower one tilted at 45° - Method 2), P3 joined panel (both marks on the weft direction). The analysis report drawn up for 13 variables with the help of a specialized software evidenced that the series are very homogeneous, with little variation, the average being representative. Also, 60% of the values of the studied characteristics are placed between the 75th percentile and the maximum value, and the boxplot graphs demonstrated a very low variability of the results. The subsequent experiments will be carried out under real conditions of use, the functional model being placed on an IAR330 or SOCAT helicopter.
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This scientific paper is funded by the Ministry of Research, Innovation, Digitalisation within Program 1 - Development of the national RD system, Subprogram 1.2 - Institutional Performance - RDI excellence funding projects, Contract no. 4PFE/2021. This work was carried out through the Core Programme within the National Research Development and Innovation Plan 2022-2027, carried out with the support of MCID, project no. 6N/2023, PN 23 26 02 01, project title "Innovative, resilient digital solutions for the recovery and sustainable growth of terrestrial and aquatic natural resources, as well as for the exploitation of non-conventional aerial energy resources (THORR)"
conference
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 28-30 November, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
175-182
28-30 November, 2023
website
9447
data management, composite material, textile structure, homogeneity, correlation coefficients