Results 51 to 60 of about 2,559 (200)

Enhancement of ultrasonic vibration on friction stir welding of high-strength aluminum alloys: Effects on welding loads, microstructures, and mechanical properties of joints

Journal of Materials Research and Technology
In this study, a coaxial ultrasonic-assisted friction stir welding (UFSW) system with an automatic frequency tracking function was developed to enhance the effectiveness of ultrasonic vibration and to increase the integration and accessibility of the ...
Zhongxue Jia, Yunqiang Zhao, Guoqing Duan, Korzhyk Volodymyr, Haokun Yang, Zhe Liu, Zhicheng Lin, Yevhenii Illiashenko, Igor Krivtsun   +8 more
doaj   +1 more source

Characteristics of Flyer Velocity in Laser Impact Welding

Metals, 2019
The flyer velocity is one of the critical parameters for welding to occur in laser impact welding (LIW) and plays a significant role on the welding mechanism study of LIW.
Huimin Wang, Yuliang Wang
doaj   +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

Analysis of the Effects of Weld Melt Duration on Joint Integrity and Surface Quality During Profile Milling

Applied Sciences
Research into technological processes, such as welding, provides the basis for optimising the strength and quality of PVC joints, which are becoming increasingly important in the context of sustainable construction.
Marek Kozielczyk, Jakub Kowalczyk, Marta Paczkowska   +2 more
doaj   +1 more source

Weldability and Monitoring of Resistance Spot Welding of Q&P and TRIP Steels

Metals, 2016
This work aims at investigating the spot weldability of a new advanced Quenching and Partitioning (Q&P) steel and a Transformation Induced Plasticity (TRIP) steel for automotive applications by evaluating the effects of the main welding parameters on
Pasquale Russo Spena, Manuela De Maddis, Gianluca D’Antonio, Franco Lombardi   +3 more
doaj   +1 more source

Microsphere‐Modulated Sensing‐in‐Energy Supercapacitor With Self‐Filtering Ultra‐Large Signal Under High‐g Shocks

Advanced Science, EarlyView.
To overcome severe signal oscillation under extreme impact conditions, this work presents a Sensing‐in‐Energy microdevice which integrates a MEMS inertial structure directly within a supercapacitor electrolyte cavity. Utilizing shock‐driven transient contact and electrolyte damping for signal self‐filtering, it achieves weak‐oscillation, large ...
Zhihao Zheng, Yiqun Wang, Kaiyou Liu, Shancheng Luan, Yajiang Yin, Xiaofeng Wang, Keren Dai, Zheng You   +7 more
wiley   +1 more source

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

Advanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang, Steve Gaudez, Mario Togni, Steven Van Petegem, Markus Bambach, Mamzi Afrasiabi   +5 more
wiley   +1 more source

3D‐Printed Magnetoelectronics for Interactive Appliances and Self‐Aware 4D‐Printed Mechatronics

Advanced Science, EarlyView.
3D‐printed magnetoelectronics integrate high‐performance magnetic field sensing directly into complex structural components. Flexible spring and cross‐shaped sensors exhibit giant magnetoimpedance and 3D Hall sensing for vector field reconstruction. Applications include smart‐home switches, robotic joysticks, volumetric magnetometers, and self‐aware 4D‐
Eduardo Sergio Oliveros‐Mata, Anna Martin Vilardell, Fabian Ganss, Christoph Leyens, Lukas Stepien, Denys Makarov   +5 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source