Results 81 to 90 of about 3,000,384 (294)

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

Advanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu, Ryan R. Rusch, Zheng Wu, Chi Chen, Pengju Shi, Hao Qiu, Ximin He   +6 more
wiley   +1 more source

Developing high-strength, ductile Ni-free Fe–Cr–Mn–C–N stainless steels by interstitial-alloying and thermomechanical processing

Journal of Materials Research and Technology, 2019
Microstructures and mechanical properties of a new grade of Fe–18Cr–12Mn–CN (wt%) austenitic stainless steels interstitial-alloyed with 0.3–0.48 wt% C + N at 0.22–1.06 C/N ratios were investigated after thermomechanical processing.
Dariush Rasouli, Ahmad Kermanpur, Abbas Najafizadeh   +2 more
doaj   +1 more source

On the microstructure and thermomechanical processing of titanium alloy IMI685

, 1992
The microstructure of near-α titanium alloys is very sensitive to the thermomechanical processing conditions, which in turn have a significant influence on the mechanical properties of the material.
Guo, Z. X., Baker, T. N.
core   +1 more source

3D Printing of Self‐Healing Polymers by Material Extrusion: A Process‐Centric Review of Setups, Parameters, and Applications

Advanced Robotics Research, EarlyView.
This review highlights recent advances in material extrusion 3D printing of self‐healing polymers, focusing on the interplay between material chemistry, rheology, hardware customization, and process optimization. Filament‐ and ink‐based extrusion strategies, multimaterial architectures, and postprocessing approaches are discussed for applications in ...
Antonio Pavone, Gianni Stano, Gianluca Percoco   +2 more
wiley   +1 more source

Machine learning-assisted process mapping and constitutive modeling of hot deformation in lightweight steel

Journal of Materials Research and Technology
Accurate modeling of hot flow behavior in advanced lightweight steels is critical for optimizing thermomechanical processes, yet remains challenging due to the complexity of deformation mechanisms across wide temperature and strain rate ranges.
M.M. Salehi Mehr, Hamid Reza Abedi, A.R. Kalantari, A. Zarei Hanzaki   +3 more
doaj   +1 more source

Thermomechanical Processing of Metallic Glasses

, 2019
Depending on its thermal and kinetic history, a metallic glass (MG) of a given composition can show a wide range of energetic states. One central parameter determining the initial state of a glass is the cooling rate used to form it upon quenching from the melt.
openaire   +2 more sources

Effect of simulated thermomechanical processing on the transformation characteristics and microstructure of an X80 pipeline steel

, 2005
Effect of simulated thermomechanical processing on the transformation characteristics and microstructure of an X80 pipeline ...
B Muddle (13287753), Peter Hodgson (13089276), B Wynne (13293405), Pavel Cizek (13088826)   +3 more
core  

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

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Microstructural Characterization Of Quenched And Plastically Deformed Two-Phase α+β Titanium Alloys

Archives of Metallurgy and Materials, 2015
Development of microstructure in two-phase α+β titanium alloys is realized by thermomechanical processing – sequence of heat treatment and plastic working operations.
Motyka M., Sieniawski J., Ziaja W., Mrówka-Nowotnik G.   +3 more
doaj   +1 more source