Results 121 to 130 of about 1,994,533 (253)

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Review of physics-informed machine learning in laser metal additive manufacturing: a process-lifecycle perspective on prediction, monitoring, and post-process evaluation

Virtual and Physical Prototyping
Laser powder bed fusion (L-PBF) and laser directed energy deposition (L-DED) are widely applied across industries owing to their high geometric freedom and manufacturing precision. However, porosity and residual stress can arise from complex interactions
Taegyeong Yeo, Hyunwoo Kim, Munhyeong Lee, Junyeop Kim, Hongyun So   +4 more
doaj   +1 more source

Deep Learning-Based Defect Prediction for Mobile Applications. [PDF]

Sensors (Basel), 2022
Jorayeva M, Akbulut A, Catal C, Mishra A.   +3 more
europepmc   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Tibial bone defect prediction based on preoperative artefact-reduced CT imaging is superior to standard radiograph assessment. [PDF]

Knee Surg Sports Traumatol Arthrosc, 2023
Brenneis M, Flevas DA, Bornes TD, Braun S, Meurer A, Sculco PK, Quevedo-González FJ, Boettner F.   +7 more
europepmc   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

FORESIGHT: Software Defects Prediction from Requirements Change Requests Using Machine Learning Methods

Systems
Software defect prediction is becoming key for software quality assurance. Traditional software defect prediction approaches have predominantly focused on analyzing code-level metrics, often overlooking valuable information available during the ...
Hanan Helwa, Adel Taweel
doaj   +1 more source

Fine-Grained Software Defect Prediction Based on the Method-Call Sequence. [PDF]

Comput Intell Neurosci, 2022
Yang F, Huang Y, Xu H, Xiao P, Zheng W.
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Research of Software Defect Prediction Model Based on Complex Network and Graph Neural Network. [PDF]

Entropy (Basel), 2022
Cui M, Cui M, Long S, Jiang Y, Na X.
europepmc   +1 more source