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In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
Abstract Laser Additive Manufacturing (LAM) presents unparalleled opportunities for
fabricating complex, high-performance structures and components with unique material …
fabricating complex, high-performance structures and components with unique material …
Advancing additive manufacturing through deep learning: A comprehensive review of current progress and future challenges
This paper presents the first comprehensive literature review of deep learning (DL)
applications in additive manufacturing (AM). It addresses the need for a thorough analysis in …
applications in additive manufacturing (AM). It addresses the need for a thorough analysis in …
Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition
Real-time defect detection is crucial in laser-directed energy deposition (L-DED) additive
manufacturing (AM). Traditional in-situ monitoring approach utilizes a single sensor (ie …
manufacturing (AM). Traditional in-situ monitoring approach utilizes a single sensor (ie …
Metal Laser-Based Powder Bed Fusion Process Development Using Optical Tomography
In this study, a set of 316 L stainless steel test specimens was additively manufactured by
laser-based Powder Bed Fusion. The process parameters were varied for each specimen in …
laser-based Powder Bed Fusion. The process parameters were varied for each specimen in …
Enhancing part quality management using a holistic data fusion framework in metal powder bed fusion additive manufacturing
Metal powder bed fusion additive manufacturing (AM) processes have gained widespread
adoption for the ability to produce complex geometries with high performance. However, a …
adoption for the ability to produce complex geometries with high performance. However, a …
Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
M Safdar, J ** between void shapes and stress fields using deep convolutional neural networks with sparse data
Establishing fast and accurate structure-to-property relationships is an important component
in the design and discovery of advanced materials. Physics-based simulation models like …
in the design and discovery of advanced materials. Physics-based simulation models like …
Engineering-guided deep learning of melt-pool dynamics for additive manufacturing quality monitoring
Additive manufacturing (AM) fabricates three-dimensional parts via layer-by-layer deposition
and solidification of materials. Due to the complexity of this process, advanced sensing is …
and solidification of materials. Due to the complexity of this process, advanced sensing is …
Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials
NA Apetre, JG Michopoulos… - Journal of …, 2024 - asmedigitalcollection.asme.org
The advent of additive manufacturing (AM) has enabled the prototy** of periodic and non-
periodic metamaterials (aka lattice or cellular structures) that could be deployed in a variety …
periodic metamaterials (aka lattice or cellular structures) that could be deployed in a variety …
Self-Supervised Multi-Label Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing
Abstract Laser Powder Bed Fusion (LPBF) is a key technique in metal additive
manufacturing (AM) that enables the fabrication of parts with complex geometries and …
manufacturing (AM) that enables the fabrication of parts with complex geometries and …