Results 41 to 50 of about 867 (170)
Recent improvements in size effects correlations for DBTT and upper shelf energy of ferritic steels [PDF]
Currently available correlations for the effects of specimen size on the USE were developed for relatively ductile steels and will not serve as well when the steels become embrittled.
Garner, F. A. +3 more
core
This review explains how impurities from recycled scrap affect steel production and performance. Even small amounts (far below 1%) of these impurities can change how steel behaves during fabrication but also affect the properties of the end product. With better understanding and targeted countermeasures, these challenges can be managed, enabling wider ...
Oleksandr Glushko, Ronald Schnitzer
wiley +1 more source
Charge‐transfer coassembly enables precise control over the dynamic aggregation process, resulting in morphology evolution from amorphous aggregates to rod‐like and needle‐like microcrystals, accompanied by a significant fluorescence enhancement. This strategy yields widely tunable solid‐state emission from green to orange‐red, unveiling fundamental ...
Huiting Mao +7 more
wiley +1 more source
Mode I cracks introduced in Si at the ductile-brittle transition temperature (DBTT) have been examined extensively using transmission electron microscopy.
null Suprijadi, H. Saka
core +1 more source
In this paper, the CLAM steel strengthened by micro-scale Y–Zr–O was prepared by vacuum induction melting followed by electroslag remelting (VIM-ESR). Yttrium (Y) and zirconium (Zr) were easy to aggregates into massive yttrium-zirconium-rich inclusions ...
Guoxing Qiu +5 more
doaj +1 more source
ABSTRACT Tungsten is inherently brittle and particularly prone to thermal stress concentration and crack formation during additive manufacturing processes such as laser cladding, which severely limits its engineering applications as a coating material. To address this issue, this study proposes an in situ toughening strategy involving the introduction ...
Guo‐Xing Chen +12 more
wiley +1 more source
Machine Learning Applied to High Entropy Alloys under Irradiation
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour +8 more
wiley +1 more source
This study combines low‐temperature spray drying with low‐energy SLM technology to produce high‐sphericity tungsten powder, enabling low‐energy consumption printing. It proposes the E/v ≤ 2 parameter framework to suppress cracks, with the components exhibiting excellent performance, providing a universal solution for additive manufacturing of high ...
Yajuan Zhang +5 more
wiley +1 more source
The temperature-dependent ductile-brittle transition (DBT) in low-carbon martensitic steel is investigated in different stress states. To capture the effects of the stress state, tensile tests have been performed with flat specimens and three-point ...
Zhen Zhang +4 more
doaj +1 more source
Electrolytes, often termed as the “blood” of battery play a decisive role in determining their performance metrics. This review thoroughly analyzes the role of functional electrolyte additives improving the performance and safety of Li‐ion/Li–metal batteries involving film formation, overcharge control, wide temperature and voltage operation ...
Chenrayan Senthil +3 more
wiley +1 more source

