Mahir Uzun

Dr. Mahir Uzun

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2021 in Journal of Materials Research and Technology
Verified
Journal Article
Open access
Serhat ŞapSerhat Şap
Serhat Şap
MUMahir Uzun
Mahir Uzun
ÜUÜsame Ali USCA
Üsame Ali USCA
Danil PimenovDanil Pimenov
Danil Pimenov
KGKhaled Giasin
Khaled Giasin
Szymon WojciechowskiSzymon Wojciechowski
Szymon Wojciechowski

28 July 2021 in Materials
Verified
Journal Article
Open access
PDF file
ÜUÜsame Ali USCA
Üsame Ali USCA
MUMahir Uzun
Mahir Uzun
MUSTAFA KUNTOĞLUMUSTAFA KUNTOĞLU
MUSTAFA KUNTOĞLU
Serhat ŞapSerhat Şap
Serhat Şap
KGKhaled Giasin
Khaled Giasin
Danil PimenovDanil Pimenov
Danil Pimenov
Tribological properties of engineering components are a key issue due to their effect on the operational performance factors such as wear, surface characteristics, service life and in situ behavior. Thus, for better component quality, process parameters have major importance, especially for metal matrix composites (MMCs), which are a special class of materials used in a wide range of engineering applications including but not limited to structural, automotive and aeronautics. This paper deals with the tribological behavior of Cu-B-CrC composites (Cu-main matrix, B-CrC-reinforcement by 0, 2.5, 5 and 7.5 wt.%). The tribological characteristics investigated in this study are the coefficient of friction, wear rate and weight loss. For this purpose, four levels of sliding distance (1000, 1500, 2000 and 2500 m) and four levels of applied load (10, 15, 20 and 25 N) were used. In addition, two levels of sliding velocity (1 and 1.5 m/s), two levels of sintering time (1 and 2 h) and two sintering temperatures (1000 and 1050 °C) were used. Taguchi’s L16 orthogonal array was used to statistically analyze the aforementioned input parameters and to determine their best levels which give the desired values for the analyzed tribological characteristics. The results were analyzed by statistical analysis, optimization and 3D surface plots. Accordingly, it was determined that the most effective factor for wear rate, weight loss and friction coefficients is the contribution rate. According to signal-to-noise ratios, optimum solutions can be sorted as: the highest levels of parameters except for applied load and reinforcement ratio (2500 m, 10 N, 1.5 m/s, 2 h, 1050 °C and 0 wt.%) for wear rate, certain levels of all parameters (1000 m, 10 N, 1.5 m/s, 2 h, 1050 °C and 2.5 wt.%) for weight loss and 1000 m, 15 N, 1 m/s, 1 h, 1000 °C and 0 wt.% for the coefficient of friction. The comprehensive analysis of findings has practical significance and provides valuable information for a composite material from the production phase to the actual working conditions.

16 February 2022 in Journal of Materials Research and Technology
Verified
Journal Article
Open access
ÜUÜsame Ali Usca
Üsame Ali Usca
Serhat ŞapSerhat Şap
Serhat Şap
MUMahir Uzun
Mahir Uzun
MKMustafa Kuntoğlu
Mustafa Kuntoğlu
ESEmin Salur
Emin Salur
Szymon WojciechowskiSzymon Wojciechowski
Szymon Wojciechowski

23 June 2022 in Nanomaterials
Verified
Journal Article
Open access
PDF file
ÜUÜsame Ali USCA
Üsame Ali USCA
Serhat ŞapSerhat Şap
Serhat Şap
MUMahir Uzun
Mahir Uzun
KGKhaled Giasin
Khaled Giasin
Danil PimenovDanil Pimenov
Danil Pimenov
Because of their high thermal conductivity, good corrosion resistance, and great mechanical qualities, copper matrix composites are appealing materials utilized in a variety of industries. This study investigates the mechanical properties of copper–graphite (Cu–Gr) matrix composites reinforced with silicon carbide (SiC) and tungsten carbide (WC) particles by hot pressing using powder metallurgy method. The goal is to investigate the influence of the reinforcement ratio on the mechanical characteristics of copper composite materials generated (density, hardness, flexural strength, and wear resistance). SEM, EDS, and X-RD analysis were used to perform metallographic examinations. The highest relative density with a value of 98.558% was determined in the C3 sample. The findings revealed that when the reinforcement ratio was raised, the hardness rose. The highest hardness value was observed in the C6 sample with an increase of 12.52%. Sample C4 (with the lowest SiC and WC particles ratio) had the highest bending stress (233.18 MPa). Bending stress increased by 35.56% compared to the C1 sample. The lowest specific wear rates were found in the C4 sample, with a decrease of 82.57% compared to the C1 sample. The lowest wear rate (6.853 × 10−7 mm3/Nm) also occurred in the C4 sample. The microstructural analysis showed that the hybrid reinforcement particles exhibited a homogeneous distribution in the copper matrix. X-RD analysis showed that there was no intermediate reaction between the parent matrix and the hybrid reinforcements. A good interfacial bond was observed between the matrix structure and the hybrid reinforcements. The motivation of this research was to utilise the advantages of the unique features of SiC–WC hybrid particles to improve the performance of newly developed Cu-6Gr composites for wear-resistance applications.

21 September 2022 in Journal of Materials Research and Technology
Verified
Journal Article
Open access
ÜUÜsame Ali USCA
Üsame Ali USCA
MUMahir Uzun
Mahir Uzun
Serhat ŞapSerhat Şap
Serhat Şap
KGKhaled Giasin
Khaled Giasin
Danil PimenovDanil Pimenov
Danil Pimenov
CHANDER PRAKASHCHANDER PRAKASH
CHANDER PRAKASH