首页|Findings from Saveetha School of Engineering Reveals New Findings on Machine Lea rning (Drilling Studies On Mwcnt- and Zirconiareinforced Aluminium Alloy 8011 H ybrid Composite: a MachineLearning Approach)
Findings from Saveetha School of Engineering Reveals New Findings on Machine Lea rning (Drilling Studies On Mwcnt- and Zirconiareinforced Aluminium Alloy 8011 H ybrid Composite: a MachineLearning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting fromTamil Nadu, India, by NewsRx jour nalists, research stated, “Emerging novel composites fabricated fromaluminium a lloys incorporating high strength and fracture-resistant ceramics with multi-wal led carbonnanotubes (MWCNTs) are used frequently in aeronautical and structural engineering fields. This researchaims to examine the machinability of composit es made from AA8011, consisting of 3 wt.% MWCNTs andvarying weigh t proportions of zirconium dioxide (ZrO2) (5, 10, and 15 wt.%) fabr icated via ultrasonicassistedstir casting method.”
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningSaveetha School of Engineering
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