2019
DOI: 10.29194/njes.22020143
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Development of High Performance (Mechanical and Wear Properties) of AA 6061-Hybrid Nano Composites Via Liquid Metallurgy Route

Abstract: This research is devoted to study the influence of different weight percent concerning to the additions of Ti and Cu on mechanical and tribological properties of AA6061. The composite materials consist of different weight percentage of Ti (0.2, 0.4, and 0.6) wt% and constant weight percentage of Cu (0.2) wt% which were fabricated by liquid metallurgy route technique. Microstructural characterization and phases have been examined by using SEM (scanning electron microscopic).SEM examination showed uniform distri… Show more

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Cited by 3 publications
(2 citation statements)
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“…Machine learning [13,15,16,17], bio-inspired computation approaches [17,18,19,20,21,22,23], deep learning [24], and other diverse techniques have recently found use in the field of medical prediction. Despite the validation of a variety of strategies, none have consistently produced exact and trustworthy results.…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning [13,15,16,17], bio-inspired computation approaches [17,18,19,20,21,22,23], deep learning [24], and other diverse techniques have recently found use in the field of medical prediction. Despite the validation of a variety of strategies, none have consistently produced exact and trustworthy results.…”
Section: Introductionmentioning
confidence: 99%
“…The survey revealed that some techniques are optimal for testing the usefulness of datasets [18]. Various essential data extraction technologies are being improved and deployed in a variety of real-world applications (e.g., healthcare, bioscience, and industry) to extract useful data bits from individual data to aid in decision-making [19]. In machine learning environments, a reasonably large amount of data consisting of actual medical cases of men diagnosed with prostate cancer who receive medical attention is used for the systematic comparison of procedure.…”
Section: Introductionmentioning
confidence: 99%