Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review
M Eswaran, MVAR Bahubalendruni - Journal of Manufacturing Systems, 2022 - Elsevier
Manufacturing industries are currently experiencing the fourth revolution with penetration of
new immersive technologies extremely focused on the flexible manufacturing and human …
new immersive technologies extremely focused on the flexible manufacturing and human …
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices
The recent advancement of science and technology in the world market has increased the
demand for smart materials for various electronic device applications. The intrinsic …
demand for smart materials for various electronic device applications. The intrinsic …
In-situ point cloud fusion for layer-wise monitoring of additive manufacturing
Additive manufacturing (AM) has received an increasing attention in the manufacturing
sector, owing to its high-level design freedom and enhanced capability to produce parts with …
sector, owing to its high-level design freedom and enhanced capability to produce parts with …
Leveraging simulated and empirical data-driven insight to supervised-learning for porosity prediction in laser metal deposition
V Gawade, V Singh - Journal of Manufacturing Systems, 2022 - Elsevier
The advent of digital-twin manufacturing in additive manufacturing (AM) is to integrate the
physical world of real-time 3D printing with the digital world of a simulated print. This paper …
physical world of real-time 3D printing with the digital world of a simulated print. This paper …
MVGCN: Multi-view graph convolutional neural network for surface defect identification using three-dimensional point cloud
Surface defect identification is a crucial task in many manufacturing systems, including
automotive, aircraft, steel rolling, and precast concrete. Although image-based surface …
automotive, aircraft, steel rolling, and precast concrete. Although image-based surface …
[HTML][HTML] A robust assessment method of point cloud quality for enhancing 3D robotic scanning
Point clouds are widely used to construct models of workpieces using 3D scanners,
especially where high-quality robotic and automatic 3D scanning is required in industries …
especially where high-quality robotic and automatic 3D scanning is required in industries …
Geometric accuracy prediction and improvement for additive manufacturing using triangular mesh shape data
One major impediment to wider adoption of additive manufacturing (AM) is the presence of
larger-than-expected shape deviations between an actual print and the intended design …
larger-than-expected shape deviations between an actual print and the intended design …
[HTML][HTML] Scalp surface estimation and head registration using sparse sampling and 3D statistical models
Registering the head and estimating the scalp surface are important for various biomedical
procedures, including those using neuronavigation to localize brain stimulation or recording …
procedures, including those using neuronavigation to localize brain stimulation or recording …
Learning and predicting shape deviations of smooth and non-smooth 3d geometries through mathematical decomposition of additive manufacturing
In additive manufacturing (AM), final product geometries are often deformed or distorted. The
deviations of three-dimensional (3D) shapes from their intended designs can be …
deviations of three-dimensional (3D) shapes from their intended designs can be …
Fracture behavior of intact and defected 3D-printed parts
MR Khosravani, T Reinicke - Procedia Structural Integrity, 2021 - Elsevier
Additive manufacturing (AM) is a highly innovative technology with advantages over
conventional manufacturing processes. AM also known as three-dimensional (3D) printing is …
conventional manufacturing processes. AM also known as three-dimensional (3D) printing is …