Enhanced tribological performance of MoS2 and hBN-based composite friction materials: Design of tribo-pair for automotive brake pad-disc systems

被引:4
作者
Saurabh, Ashish [1 ]
Verma, Piyush Chandra [1 ]
Dhir, Amit [1 ]
Sikder, Jyotiraditya [2 ]
Saravanan, Prabakaran [1 ]
Tiwari, Sunil Kumar [3 ]
Das, Raj [4 ]
机构
[1] BITS Pilani, Dept Mech Engn, Hyderabad Campus, Pilani 500078, India
[2] BITS Pilani, Dept Chem Engn, Pilani 333031, Rajasthan, India
[3] Woxsen Univ, Sch Technol, Hyderabad 502345, India
[4] RMIT Univ, Sir Lawrence Wackett Def & Aerosp Ctr, Sch Engn, Melbourne, Vic 3000, Australia
关键词
Laser cladding; Friction and wear; Solid lubricant; Composite friction materials; ANN; COPPER;
D O I
10.1016/j.triboint.2024.110001
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This research comprehensively analyzes the friction and wear behavior of composite friction materials when dry sliding against grey cast iron and laser-clad nickel-based (LC1) and iron-based (LC2) alloy discs. The composite friction materials (P1, 1 , P2, 2 , P3, 3 , P4, 4 , P5, 5 , and P6) 6 ) under investigation contain graphite, MoS2, 2, and hBN-based solid lubricant synthesized through the powder metallurgy technique. Tribological tests were conducted using a pin- on-disc configuration to simulate the dynamic interaction between the composite materials and the laser-clad grey cast iron discs. The tests were performed at a 60 N load, 6283.19 m sliding distance, and 2.094 m/s sliding velocity under dry sliding conditions. The results provide valuable insights into the effectiveness of MoS2 2 and hBN-based solid lubricant composites in reducing friction and wear when in contact with iron and nickel alloy-based laser-clad grey cast iron surfaces. The study elucidates the mechanisms governing tribological behavior, including the formation of friction plateaus and the role of laser-clad counter-discs in reducing wear. The specific wear rate of the nickel-based laser-clad counter disc (LC1) and iron-based laser-clad (LC2) system improved by 63.76 % and 48.32 %, respectively, compared to the conventional grey cast iron disc system when using the hBN-based pin (P6). 6 ). Additionally, the specific wear rate of the hBN-based pin was 38.49 % lower than the conventional graphite-based pin when sliding against the grey cast iron counter-disc. Artificial Neural Network (ANN) ANN ) was used to validate the wear rate of the best-performing tribological pair, namely the hBNbased pin (P6) 6 ) and LC2 counter discs, through supervised learning.
引用
收藏
页数:18
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