Results 41 to 50 of about 8,453 (225)
On‐Demand Deconstructable Thermosets Through Cleavable Comonomer and Thermolatent Base Synergy
Thermosets, valued for their chemical and mechanical properties, resist recycling due to their cross‐linked structure. Weak bonds via comonomers enable degradability, but diffusion limits effectiveness. We incorporate thermolatent bases before polymerization (thermal or 3D‐VAT printing).
Sophia Kouider +15 more
wiley +2 more sources
Laser welding-brazing was used to join cemented carbide WC-Co and steel dissimilar materials. In this study, high-speed welding was adopted. The effect of welding parameters and brazing filler metals on the macrostructure, elemental diffusion, micro ...
Shuyue Ma +4 more
doaj +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Ultrafast laser welding of ceramics [PDF]
Joining the laser welding club Laser welding is an integral part of modern manufacturing, but it fractures ceramic materials. Penilla et al. developed two methods for welding ceramics using ultrafast lasers. One method tunes the ceramic properties, allowing the laser to transit through the ceramic and weld
E. H. Penilla +8 more
openaire +4 more sources
3D‐Nanoprinted Fluidically Steerable Soft Robotic Microcatheters
This work introduces a ∼3‐French (1 mm‐in‐diameter) soft robotic microcatheter fabricated by means of two‐photon direct laser writing. The 3D‐printed microcatheter enables remote, on‐demand steering via microfluidic actuation for guidewire‐free navigation of vascular networks as well as microcatheter‐mediated delivery of fluidic payloads to target ...
Bailey M. Felix +17 more
wiley +1 more source
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
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 Comparative Study on the Laser Welding of Ti6Al4V Alloy Sheets in Flat and Horizontal Positions
Laser welding has been increasingly utilized to manufacture a variety of components thanks to its high quality and speed. For components with complex shapes, the welding position needs be continuously adjusted during laser welding, which makes it ...
Baohua Chang +6 more
doaj +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

