Search Results - subject:"Powder bed fusion"

Parametric investigation, formulation, and benchmarking of energy consumption for the powder bed fusion process

Kota, Akshar; Nallagundla, Venkata Reddy; Susana A … - In: Cleaner and responsible consumption 14 (2024), pp. 1-18

characteristics of the powder bed fusion (PBF) process, particularly selective laser melting (SLM). Through experimental investigation …

Persistent link: https://www.econbiz.de/10015386572

eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis

Bordekar, Harsh; Cersullo, Nicola; Brysch, Marco; … - In: Journal of Intelligent Manufacturing (2023), pp. 1-18

Additive Manufacturing (AM) and in particular has gained significant attention due to its capability to produce complex geometries using various materials, resulting in cost and mass reduction per part. However, metal AM parts often contain internal defects inherent to the manufacturing process....

Persistent link: https://www.econbiz.de/10015175562

A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion

Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706

The prediction of porosity is a crucial task for metal based additive manufacturing techniques such as laser powder bed … fusion. Short wave infrared thermography as an in-situ monitoring tool enables the measurement of the surface radiosity …

Persistent link: https://www.econbiz.de/10015179593

A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion

Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706

Persistent link: https://www.econbiz.de/10015403246

eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis

Bordekar, Harsh; Cersullo, Nicola; Brysch, Marco; … - In: Journal of Intelligent Manufacturing 36 (2023) 2, pp. 957-974

Persistent link: https://www.econbiz.de/10015408327

Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing

Colosimo, Bianca Maria; Pagani, Luca; Grasso, Marco - In: Journal of Intelligent Manufacturing 35 (2022) 1, pp. 429-447

Manufacturing via Laser Powder Bed Fusion (L-PBF). The spatial spread of spatters, captured in the form of point particles through …

Persistent link: https://www.econbiz.de/10015408303