Robotics & Machine Learning Daily News2024,Issue(Feb.16) :5-6.DOI:10.1016/j.ymssp.2023.111030

New Machine Learning Study Findings Have Been Reported by Investigators at London South Bank University (Machine Learning Model of Acoustic Signatures: Towards Digitalised Thermal Spray Manufacturing)

Robotics & Machine Learning Daily News2024,Issue(Feb.16) :5-6.DOI:10.1016/j.ymssp.2023.111030

New Machine Learning Study Findings Have Been Reported by Investigators at London South Bank University (Machine Learning Model of Acoustic Signatures: Towards Digitalised Thermal Spray Manufacturing)

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Abstract

Research findings on Machine Learning are discussed in a new report. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, "Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The core research challenge in digitalisation of thermal spraying process lies in instrumenting the manufacturing platform as the process includes harsh conditions, including UV Rays, high-plasma temperature, dusty chemical environment, and spray booth inaccessibility." Financial supporters for this research include UK Research & Innovation (UKRI), Hubert Curien Partnership award 2022 from the British Council, International exchange Cost Share award by the Royal Society, Royal Academy, Eusko Jaurlaritza.

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/London South Bank University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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