2019
DOI: 10.1504/ijmatei.2019.101970
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Wear and corrosion behaviour of titanium carbide reinforced metal matrix composites for automobile brake disc application

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Cited by 6 publications
(2 citation statements)
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“…141 Indeed, several studies have exemplified the utilization of ANN for designing MMCs to minimize the tribological properties such as SWR, CoF, wear loss, etc. [142][143][144][145][146][147][148][149] Table S4 (ESI †) and text below summarizes the studies on MMCs that apply ANN approach.…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…141 Indeed, several studies have exemplified the utilization of ANN for designing MMCs to minimize the tribological properties such as SWR, CoF, wear loss, etc. [142][143][144][145][146][147][148][149] Table S4 (ESI †) and text below summarizes the studies on MMCs that apply ANN approach.…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…Furthermore, iron- and copper-based materials are prone to electrochemical corrosion in acidic rain and salt spray environments. In order to reduce dependence on non-renewable resources and energy, alleviate environmental degradation and resource shortages, and meet the needs of brake systems in high-speed, high-energy load conditions, the development and use of plant-based natural renewable resources is essential [ 13 , 14 , 15 ]. The new generation of high-performance and high-reliability friction materials not only has the basic requirements of current friction materials but also has high specific strength, long life, and environmental adaptability [ 9 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%