Results 121 to 130 of about 8,718 (287)

Dynamics of the Quenching and Partitioning (Q&P) Process

, 2011
The novel heat treatment concept of Quenching and Partitioning (Q&P) offers exciting prospects for the production of higher strength steel products with enhanced formability from a microstructure containing retained austenite and martensite.
David K. Matlock, Timothy D. Bigg, David Edmonds, John G. Speer   +3 more
core   +1 more source

Optimization of Heat Treatment Process and Strengthening–Toughening and Mechanism for H13 Steel

Metals
This study investigates H13 steel through Q-P-T (quenching–partitioning–tempering) heat treatment experiments, focusing on the effects of quenching and tempering temperatures on its microstructure and mechanical properties.
Yuzhong Wang, Xiaoping Ren, Zhiheng Hou, Aisheng Jiang, Jinfu Zhao, Zhanqiang Liu   +5 more
doaj   +1 more source

Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization

Advanced Materials, EarlyView.
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab, Jack F. Murphy, Michael Bartolf‐Kopp, Jenny C‐C Hsin, Alice Chernaik, Frank McCaughan, Yan Yan Shery Huang, Tomasz Jungst, Jürgen Groll   +8 more
wiley   +1 more source

Quenching and Partitioning (Q&P) Processing of Martensitic Stainless Steels

, 2018
Austenite was stabilized in the martensitic stainless steel grade AISI 420 by means of quenching and partitioning (Q&P) processing. The effects of quenching temperature on the microstructure and mechanical properties were investigated.
Javad Mola, De Cooman, BC
core   +1 more source

Interrupted quenching in high carbon steels for forgings

Metalurgija, 2017
The present study is focused on analyzing the effect of the interrupted quenching followed by a partitioning process in a high carbon steel 0,50 % C, 1,50 % Mn, 0,40 % Si, 2,00 % Cr without significant contribution of Al.
G. Napoli, S. Mengaroni, M. Rallini, L. Torre, A. Di Schino   +4 more
doaj  

Quasi-Situ Characterization of Retained Austenite Orientation in Quenching and Partitioning Steel via Uniaxial Tensile Tests. [PDF]

Materials (Basel), 2020
Gao P, Liu J, Chen W, Li F, Pang J, Zhao Z.   +5 more
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

The novel quenching and partitioning heat treatment of steel

, 2013
The recently proposed and novel steel heat treatment process known as quenching and partitioning (Q&P) is studied, in particular, the partitioning stage. Characterization of the partially quenched microstructure prior to the partitioning stage is enabled
Al Malki, Uthman Mosfer
core  

Effects of annealing and quenching temperature on microstructure evolution and mechanical properties in Fe-0.17C-2.10Mn-0.51Si steel

Materials & Design
The optimum mechanical properties of Fe-0.17C-2.10Mn-0.51Si steel are achieved by adjusting annealing and quenching temperatures. Annealing at 790 °C for 300 s, followed by quenching at 310 °C for 15 s and partitioning at 460 °C for 50 s, results in a ...
Panpan Yuan, Depeng Shen, Wei Sun, Bingtao Tang   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source