Results 51 to 60 of about 277 (206)
Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing
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 +5 more
wiley +1 more source
Self-Pierce Riveting: Development and Assessment for Joining Polymer-Metal Hybrid Structures in Lightweight Automotive Applications. [PDF]
Sankaranarayanan R +3 more
europepmc +1 more source
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang +5 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
3D‐Printed Magnetoelectronics for Interactive Appliances and Self‐Aware 4D‐Printed Mechatronics
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 +5 more
wiley +1 more source
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 +3 more
wiley +1 more source
A COMPARATIVE ANALYSIS OF THE LOAD CAPACITY OF RIVETED AND RESISTANT WELDED JOINTS
Piotr Lacki, Judyta Niemiro-Maźniak
openaire +1 more source
Study on Microstructure of Aluminum / Steel Self - riveting - Resistance Spot Welding Joint [PDF]
Dan Li +3 more
openaire +1 more source
The applicability of two different joining processes for producing lap joints from high-strength steel sheets is investigated, reflecting their increasing use in advanced lightweight structures with demanding performance requirements. The work is primarily focused on the joining-by-forming process known as double-flush riveting, evaluated in two ...
Rui F. V. Sampaio +4 more
openaire +1 more source
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 +9 more
wiley +1 more source

