Microstructural characterization and dry sliding wear behavior of boride layers grown on Invar-36 superalloy

Kanca, Yusuf

doi:10.1016/j.surfcoat.2022.128973

Cited by 9 publications

(8 citation statements)

References 52 publications

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“…The increased surface roughness may be responsible for the continuous COF increment (Fig. 2), as reported by other researchers [20,22]. After wear testing, the R a of CoNiAlSiSb and CoNiAlSiIn increased by 12.9 and 12.4 fold, respectively.…”

Section: Friction and Wear Behaviorsupporting

confidence: 73%

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Mechanical and Wear Properties of CoNiAlSiSb and CoNiAlSiIn Ferromagnetic Shape Memory Alloys: An Experimental Assessment

Kanca

2023

Hittite Journal of Science and Engineering

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CoNiAl based ferromagnetic shape memory alloys (FSMAs) are used in various engineering fields, but still need to be improved for tribological applications. In the present study, dry sliding wear behavior of CoNiAlSiSb and CoNiAlSiIn FSMAs was investigated as they were articulated against an alumina abrasive ball using a ball-on-disk tribometer. The experiments were carried out at a load of 20 N, a sliding velocity of 20 mm/s and a sliding distance of 250 m. The worn surfaces were assessed using scanning electron microscope (SEM) and energy dispersive X-ray spectroscopy (EDS). The mechanical properties of the CoNiAl based FSMAs were investigated using the nanoindentation technique. The results showed that as compared to CoNiAlSiSb, CoNiAlSiIn FSMA showed a 42% increase in the Young’s modulus and a 10% increase in the microhardness. The mean coefficient of friction (COF) of CoNiAlSiIn (0.56) was observed to be slightly lower than that of CoNiAlSiSb (0.58). The higher hardness and elastic modulus of CoNiAlSiIn than CoNiAlSiIn caused only a 7% increase in the wear resistance. The operative wear mechanisms were abrasion, adhesion and plastic deformation. In conclusion, even though the difference in the tribological performance of the two FSMA surfaces was fairly small, CoNiAlSiIn exhibited better results and thereby would be more preferable.

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Section: Friction and Wear Behaviorsupporting

confidence: 73%

“…The wear track profiles and R a values were obtained using a 2D profilometry (MarSurf M300, Germany). The wear volume was calculated from the wear track profiles as detailed in previous studies, such as [20]. Then, the wear rate (W) was quantified using the following equation:…”

Section: Introductionmentioning

confidence: 99%

Mechanical and Wear Properties of CoNiAlSiSb and CoNiAlSiIn Ferromagnetic Shape Memory Alloys: An Experimental Assessment

Kanca

2023

Hittite Journal of Science and Engineering

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“…A list of test parameters is provided in Table 2. The wear volume (volume loss) was calculated from the wear track profiles obtained using a 2D profilometry (MarSurf M300, Germany), as previously described by Kanca, 2022 [8]. The wear rate (W) was then quantified as follows:…”

Section: Methodsmentioning

confidence: 99%

“…A limited number of studies has been found in literature, investigating the wear and friction behavior of Invar-36. For instance, Kanca (2022) [8] examined the tribological performance of powder-pack borided Invar-36 surfaces in a reciprocating wear apparatus and found that the wear resistance significantly increased after the boriding process and increasing sliding distance caused a higher wear volume. Wang et al (2023) [9] investigated the cryogenic friction and wear properties of Invar-36 superalloy with temperatures as low as -196 °C under the loads of 0.5-2 N in a rotatory type ball-on-disk tester.…”

Section: Introductionmentioning

confidence: 99%

Effects of Normal Load and Sliding Distance on the Dry Sliding Wear Characteristics of Invar-36 Superalloy

Kanca

2023

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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In the present study, the wear and friction behavior of Fe-based Invar-36 superalloy was investigated against an alumina ball under various sliding distances (25, 50, 75 and 100 m) and normal loads (5, 15 and 25 N) using a ball-on-disk tribometer. The worn surfaces were characterized using scanning electron microscopy (SEM) equipped with energy dispersive X-ray spectroscopy (EDS) and 2D-profilometry. The experimental results show that the coefficient of friction (COF) of Invar-36 (0.37-0.51) significantly decreased with increasing normal load, with a minimum value at 25 N. On the other hand, a slight increase in friction coefficient was observed with increasing sliding distance. Moreover, the wear volume of Invar-36 (ranged from 2.63 to 157.17×10-3 mm3) was observed to increase with increasing normal load and sliding distance. The specific wear rate found a constant increase from 1.98-2.99×10-5 to 6.33-11.45×10-5 mm3/Nm at increasing normal loads. On the contrary, the wear rate was gradually reduced when the sliding distance was increased especially at higher applied loads, due to the densification process. In addition, the wear mechanism was complex, including oxidation, adhesion and abrasion and plastic deformation, became more intense as the normal load or the number of sliding cycles was increased.

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“…It was reported that the surface hardness of Invar alloy increased from 150.7 to 1,109.5 HV 0.05 after the boriding process, and the wear resistance increased 28.6-105 times with increasing hardness. It was emphasized that boriding of Invar 36 alloy will increase the workpiece life in the automotive and aerospace sectors, especially in molding (Kanca, 2022). Giolli et al aimed to increase the wear resistance of Invar material by applying air plasma spray (APS) ceramic coatings, ZrO2-8%Y2O3, Al2O3-13%TiO2 and Cr2O3, and a high-velocity oxygen fuel (HVOF) cermet coating on its surface.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the wear behavior of FeNi36 alloy cut by WEDM method under different loads

Ceritbinmez,

Kanca,

Tuna

et al. 2023

AEAT

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Purpose FeNi36 (Invar-36) alloy is widely used in the fabrication of molding tools in aerospace industries but there remains a need to improve its wear and friction performance due to its relatively low hardness. The formation of a heat affected zone (HAZ) on the surface of Invar-36 cut by wire electric discharge machining (WEDM) is promising to enhance its tribological properties. This study aims to investigate the tribological performance of WEDM-treated Invar-36 via a ball-on-disk tribometer in dry-sliding conditions. Design/methodology/approach The untreated and WEDM-treated Invar-36 surfaces were reciprocated against an alumina ball at a sliding velocity of 40 mm/s, a stroke length of 10 mm and a sliding duration of 125 min under loads of 5, 10 and 20 N. The worn surfaces were characterized using a 2D profilometry and a scanning electron microscope equipped with energy-dispersive spectroscopy. Findings The results showed that the WEDM-treated surface had a superior friction coefficient and wear resistance in comparison to the untreated surface, due to the grown HAZ. There was found to be a 9.3%–11.4% decrease in the friction coefficient and a 47%–57% reduction in the wear volume after the WEDM treatment. Both the untreated and WEDM-treated Invar-36 surfaces found abrasion and plastic deformation as the dominant wear mechanisms. Originality/value Previous works have not focused on the tribological performance of the WEDM-treated Invar-36 extensively used for molding tools in aerospace industries. Our findings provide compelling evidence that the WEDM treatment improved the wear and friction performance of Invar-36 alloy because of the grown HAZ.

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Microstructural characterization and dry sliding wear behavior of boride layers grown on Invar-36 superalloy

Cited by 9 publications

References 52 publications

Mechanical and Wear Properties of CoNiAlSiSb and CoNiAlSiIn Ferromagnetic Shape Memory Alloys: An Experimental Assessment

Mechanical and Wear Properties of CoNiAlSiSb and CoNiAlSiIn Ferromagnetic Shape Memory Alloys: An Experimental Assessment

Effects of Normal Load and Sliding Distance on the Dry Sliding Wear Characteristics of Invar-36 Superalloy

Investigation of the wear behavior of FeNi36 alloy cut by WEDM method under different loads

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