March 28, 2024, 4:45 a.m. | Javid Akhavan, Youmna Mahmoud, Ke Xu, Jiaqi Lyu, Souran Manoochehri

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.18117v1 Announce Type: new
Abstract: In the era of Industry 4.0, Additive Manufacturing (AM), particularly metal AM, has emerged as a significant contributor due to its innovative and cost-effective approach to fabricate highly intricate geometries. Despite its potential, this industry still lacks real-time capable process monitoring algorithms. Recent advancements in this field suggest that Melt Pool (MP) signatures during the fabrication process contain crucial information about process dynamics and quality. To obtain this information, various sensory approaches, such as high-speed …

abstract additive manufacturing algorithms arxiv contributor cost cs.cv image image processing industry industry 4.0 manufacturing melt metal monitoring pool process processing real-time solution type

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