Results 71 to 80 of about 57,331 (267)

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Multi‐Axis Stretchable Zippers for Personalized Wound Healing

Advanced Science, EarlyView.
Multi‐axis stretchable zippers can adapt to complex wound morphologies and enable personalized wound treatment through programmable contraction. This morphological matching strategy helps accelerate wound closure, improve blood perfusion, promote epithelial regeneration, and enhance collagen remodeling, pioneering new directions for personalized and ...
Siyuan Cai, Guang Yao, Zijian Chen, Shiqi Zhou, Peisi Li, Liheng Lin, Huake Yang, Ziyi Zhou, Linbo Jin, Xingyi Gan, Chenzheng Zhou, Zhen Cai, Taisong Pan, Min Gao, Dongli Fan, Yuan Lin, Yiming Zhang   +16 more
wiley   +1 more source

Variant Selection in Fe-20Ni-1.8C under Bending

Crystals, 2018
Variant selection is commonly observed in martensitic steels when a stress is applied to the material during transformation. Classically, the selection phenomenon is modelled considering the work of the shape strain in the applied stress field.
Annick P. Baur, Cyril Cayron, Roland E. Logé   +2 more
doaj   +1 more source

Thermal and mechanical stability of retained austenite surrounded by martensite with different degrees of tempering

, 2017
The mechanical and thermal stability of austenite in multiphase advanced high strength steels are influenced by the surrounding microstructure. The mechanisms underlying and the relations between thermal and mechanical stability are still dubious due to ...
J. Hidalgo, K. Findley, M. Santofimia
semanticscholar   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Fracture of drilling head pipe connection due to quenching of heat affected zone (HAZ)

Metalurgija, 2015
The drilling head pipe connection is made of quenched and tempered steel 34CrNiMo6. The steel characteristic is high hardenability. Due to unsuitable and untested welding technology the heat affected zone (HAZ) cooling rate after welding surpassed the ...
B. Zorc, M. Bizjak, B. Kosec, A. Nagode
doaj  

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Influence of Strain Rate on the Strain Hardening Behavior of a Lean Duplex Stainless Steel

MetalMat, EarlyView.
The aim of this study was to examine how strain rate influences the compressive strain‐hardening behavior of a lean duplex stainless steel LDX 2101. Microstructural analysis using electron backscatter diffraction (EBSD) revealed a strain‐induced austenite‐to‐martensite transformation.
Akilakpa Sawyerr, Eric Kotei T. Addison, Martin Owusu‐Mensah, Abdul Jaleel Mohammed, Daolun Chen   +4 more
wiley   +1 more source

Symbolic Regression‐Guided Feature Engineering for Predicting Magnetization in Cu‐Based Alloys Under Data‐Scarce Conditions

Materials Genome Engineering Advances, EarlyView.
A symbolic regression approach (SISSO) with physics‐informed feature engineering achieves high‐accuracy prediction of magnetic properties in Cu‐based alloys under data‐scarce conditions. The framework offers an interpretable and transferable strategy for accelerated alloy design.
Buyang Ma, Jiejie Li, Qiuju Zhang, Fenghua Chen, Bo Li, Ziqi Tian, Liang Chen   +6 more
wiley   +1 more source