Results 61 to 70 of about 2,170,069 (285)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Some Effects of Microstructure on the Fracture of Steel [PDF]

, 1972
The fracture behaviour of a medium strength bainitic steel (SAE 4340 in the 11 as transformed and in the "warm rolled" condition) . and four carbon-manganese structural steels (in the hot rolled ferritepearlite condition) was investigated.
Osborne, Donald
core  

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

PARAMETERIZATION OF MICROSTRUCTURES IMAGES OF SPHEROIDAL GRAPHITE CAST IRON ON THE BASIS OF THE GRAPHITE DISTRIBUTION DENSITY FUNCTION OF THE INCLUSIONS SIZE

Литьë и металлургия, 2017
The possibilities of parameterization of microstructures such as SHG2, SHG4, SHG6, SHG10, SHG12, SHgd15, SHgd25, SHgd45, SHgd90, SHgd180, SHgd360 according to GOST (State All-union standard) 3443–87 based on the microstructures of cast iron with ...
O. A. Sachek, A. N. Chichko, S. G. Likhouzov, T. V. Matyushinets, O. I. Chichko   +4 more
doaj   +1 more source

Simulating microstructure evolution during passive mixing [PDF]

, 2011
The prediction of microstructure evolution during passive mixing is of major interest in order to qualify and quantify mixing devices as well as to predict the final morphology of the resulting blend.
CHINESTA SORIA, Francisco, Chinesta, Francisco, MAITREJEAN, Guillaume, Amine Ammar, Francisco Chinesta, AMMAR, Amine, Guillaume Maitrejean   +6 more
core   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels

Discover Materials
This study presents an integrated framework combining supervised classification and composition-driven regression modeling for automated phase identification and quantification in steel microstructures.
Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak   +5 more
doaj   +1 more source

Relation between composition, microstructure and oxidation in iron aluminides [PDF]

, 2006
The relation between chemical composition, microstructure and oxidation properties has been investigated on various FeAl based alloys, the aim being to induce changes in the microstructure of the compound by selective oxidation of aluminium.
Martinez Celis, Mayerling, Celis, Mayerling Martinez, Viguier, Bernard, Martinez, M., Maugis, Philippe, Lacaze, Jacques   +5 more
core   +1 more source

External and Internal Cracking Caused by Heat Treatment in Laser Powder Bed Fusion‐Fabricated Inconel 738LC Components

Advanced Engineering Materials, EarlyView.
Manufacturing problems such as heat treatment‐induced cracking hinder the widespread application of the laser powder bed fusion (LPBF) process to superalloys. In this study, cracks in the LPBF components of Inconel 738LC superalloy are characterized after heat treatment at various temperature ranges, revealing two distinct cracking behaviors.
Kosuke Kuwabara, Masahiro Kusano, Ayako Ikeda, Toshio Osada, Makoto Watanabe   +4 more
wiley   +1 more source

Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures

Metals
The foundation of materials science and engineering is the establishment of process–microstructure–property links, which in turn form the basis for materials and process development and optimization.
Martin Müller, Marie Stiefel, Björn-Ivo Bachmann, Dominik Britz, Frank Mücklich   +4 more
doaj   +1 more source