2021
DOI: 10.3390/cryst11111298
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Wear Behavior of Commercial Copper-Based Aircraft Brake Pads Fabricated under Different SPS Conditions

Abstract: Understanding the wear behavior of Cu-based brake pads, which are used in high-speed railway trains and aircraft, is essential for improving their design and safety. Therefore, the wear mechanism of these pads has been studied extensively. However, most studies have focused on the changes in their composition and not the effects of their manufacturing conditions. In this study, we fabricated commercial Cu-based brake pads containing Fe, graphite, Al2O3, and SiO2 using spark plasma sintering under different con… Show more

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Cited by 7 publications
(3 citation statements)
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“…New braking materials (Bian and Wu, 2016); Brake related, particle pollution (Alemani et al, 2018); Identification friction (Ehret, 2021;Sawczuk et al, 2021), wear (Yanar et al, 2022;Kim et al, 2021) and squealing models (Bracciali and Megna, 2018); and Optimized thermo-structural and fluid dynamics behavior (Sawczuk and Jüngst,2019;Yevtushenko et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
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“…New braking materials (Bian and Wu, 2016); Brake related, particle pollution (Alemani et al, 2018); Identification friction (Ehret, 2021;Sawczuk et al, 2021), wear (Yanar et al, 2022;Kim et al, 2021) and squealing models (Bracciali and Megna, 2018); and Optimized thermo-structural and fluid dynamics behavior (Sawczuk and Jüngst,2019;Yevtushenko et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Safety and productivity of these machines are important for both railway and automotive industries because these test rigs are indispensable for different research topics and industrial applications: New braking materials (Bian and Wu, 2016); Brake related, particle pollution (Alemani et al , 2018); Identification friction (Ehret, 2021; Sawczuk et al , 2021), wear (Yanar et al , 2022; Kim et al , 2021) and squealing models (Bracciali and Megna, 2018); and Optimized thermo-structural and fluid dynamics behavior (Sawczuk and Jüngst,2019; Yevtushenko et al , 2019). …”
Section: Introductionmentioning
confidence: 99%
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