Robotics & Machine Learning Daily News2024,Issue(Sep.10) :47-48.

Studies from Xi'an Polytechnic University in the Area of Machine Learning Report ed (Reed-inspired Three-dimensional Printed Microcolumn Array Reinforced Hierarc hically Structured Composites for Efficient Noise Reduction)

Robotics & Machine Learning Daily News2024,Issue(Sep.10) :47-48.

Studies from Xi'an Polytechnic University in the Area of Machine Learning Report ed (Reed-inspired Three-dimensional Printed Microcolumn Array Reinforced Hierarc hically Structured Composites for Efficient Noise Reduction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Xi'an, People's Repub lic of China, by NewsRx editors, research stated, "Against the background that n oise pollution has become a global problem, it is a challenge to prepare acousti c functional materials that combine strong low-frequency sound absorption at low thicknesses with excellent mechanical and thermal insulation properties. Inspir ed by natural reed, a unique microcolumn array was three-dimensional printed by stereolithography (SLA) and combined with sodium alginate aerogel (SA) and polyu rethane (PU) foam to design a highly efficient acoustic composite (PC-FMPPL comp osite), featuring both ‘cavity-like' and ‘filled microperforated plate-like' str uctures." Funders for this research include National Natural Science Foundation of China ( NSFC), Innovation Capability Support Program of Shaanxi, Key Research and Develo pment Program of Shaanxi, Outstanding Young Talents Support Plan of Shaanxi Univ ersities, Young Talent Fund of Association for Science and Technology in Shaanxi , China, Natural Science Basic Research Program of Shaanxi, Shaanxi Provincial E ducation Department, Young Talent Fund of Xi'an Association for Science and Tech nology, Youth Innovation Team of Shaanxi Universities.

Key words

Xi'an/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xi'an Polytechnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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