[HTML][HTML] Towards real-time in-situ monitoring of hot-spot defects in L-PBF: A new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - Springer
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - ideas.repec.org
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

[PDF][PDF] Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - 2021 - scholar.archive.org
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

B Matteo, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - search.proquest.com
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - econpapers.repec.org
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - JOURNAL OF INTELLIGENT …, 2021 - re.public.polimi.it
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis.

M Bugatti, BM Colosimo - Journal of Intelligent …, 2022 - search.ebscohost.com
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

[PDF][PDF] Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - academia.edu
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - dl.acm.org
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …

[PDF][PDF] Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - 2021 - re.public.polimi.it
The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …