Results 231 to 240 of about 447,541 (315)

Powder Optimization Strategies for Binder Jetting Printing of BaTiO3 and Ba0,6Sr0,4TiO3 Ceramics

Advanced Engineering Materials, EarlyView.
Powder optimization is investigated to enable binder jetting of BaTiO3 and Ba0.6Sr0.4TiO3 ferroelectric ceramics. The antagonistic relationship between flowability and binder compatibility is addressed through binder impregnation of granulated powders and fumed silica addition to fine powders.
Fanny Pruvost, Lionel Presmanes, Soléna Colin, Marie Vidal, Sophie Guillemet‐Fritsch   +4 more
wiley   +1 more source

Machine Learning and the Use of Spectroscopy for Adulteration Detection in Turmeric Powder. [PDF]

Molecules
Kisalaei A, Sharabiani VR, Banakar A, Taghinezhad E, Szymanek M, Dziwulska-Hunek A.   +5 more
europepmc   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Beyond composite scores in chronotype assessment: item-level predictive patterns in the Morningness-Eveningness Questionnaire. [PDF]

Sci Rep
Metzler YA, Schade HM, Nitsche MA, Wascher E, Getzmann S, Gajewski PD, Melo L.   +6 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Maize yield prediction using machine learning: a systematic literature review. [PDF]

Front Artif Intell
Nyengere J, Tchuwa F, Tholo HM, Malalu L, Njala AL, Kachulu P, Maganga R, Matewere B, Jamu L, Nyirenda C, Kanjira J, Chabwera M, Nalivata P, Mwase W, Mwangwela A.   +14 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]

Sci Rep
Abdelhakim E, Ragab DA, Abaza M, Moharam MH.   +3 more
europepmc   +1 more source

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