Results 241 to 250 of about 495,373 (264)

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

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

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

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A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization

Fuel, 2023
Lian Wang, Xiaodong Luo, Caspar Daniel Adenutsi   +2 more
exaly  

Oilfield development system optimization under reservoir production uncertainty

Ocean Engineering, 2021
C Guedes Soares
exaly  

Optimization of production system in plant simulation

Simulation, 2022
Peter Malega, Vladimir Gazda, Vladimir Rudy   +2 more
exaly  

Application-Oriented Robust Design Optimization Method for Batch Production of Permanent-Magnet Motors

IEEE Transactions on Industrial Electronics, 2018
Bo Ma, Gang Lei, Jianguo Zhu
exaly  

Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry

International Journal of Information Management, 2019
Qingfei Min, Yangguang Lu, Zhiyong Liu   +2 more
exaly  

A review of tactical optimization models for integrated production and transport routing planning decisions

Computers and Industrial Engineering, 2015
Manuel Díaz-Madroñero, David Peidro, Josefa Mula   +2 more
exaly