Results 51 to 60 of about 7,481 (251)
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley +1 more source
A Multiscale and Multiphysics Framework for Laser Beam Welding with Dynamic Beam Shaping
Recent advances in dynamic beam shaping offer transformative potential for laser welding yet understanding of the process’s spatial and temporal response remains limited. This study employs a multi-kW continuous-wave laser with a coherent beam combiner and optical phased array to modulate fluence distribution at microsecond scales.
Bakhtari, Reshad +3 more
openaire +3 more sources
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Material dependent influence of ring/spot beam profiles in laser powder bed fusion
In recent years, the topic of beam shaping for improved laser material processing has rapidly grown influencing metal laser powder bed fusion (PBF-LB/M).
Lova Chechik +4 more
doaj +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
This study demonstrates that tailoring the laser beam intensity profile in laser powder-bed fusion (LPBF) significantly influences the thermal and mechanical behavior of Zr-based bulk metallic glasses (BMGs).
Sepide Hadibeik +9 more
doaj +1 more source
Ultrafast beam pattern modulation by superposition of chirped optical vortex pulses
As an extension of pulse shaping techniques using the space–time coupling of ultrashort pulses or chirped pulses, we demonstrated the ultrafast beam pattern modulation by the superposition of chirped optical vortex pulses with orthogonal spatial modes ...
Asami Honda +5 more
doaj +1 more source
Evaluating Energy Absorption Performance of Filled Lattice Structures
Maximum stress must be considered to robustly evaluate energy absorber designs. This approach was applied to compare all types of absorbers in a single Ashby diagram and determine the utility of filling lattice voids with a second material. High‐performance fillers can improve the performance of lattices that are limited by buckling or catastrophic ...
Christian Bonney +2 more
wiley +1 more source
In this work, we propose a semi-nonlinear Michelson interferometer (SNMI) for controllable laser beam shaping and optical manipulation. By placing a Kerr-type nonlinear medium into one arm of the interferometer, the phase difference between the two arms ...
Mai Nguyet Cong, Bui Xuan Kien
doaj +1 more source

