Results 131 to 140 of about 533,762 (246)

Dimensionless Investigations on Energy Conversion and Analysis of Interlayer Time in Laser‐Based Powder Bed Fusion of Polymers for Polyamide 12 with Nanoadditives and Polypropylene

Advanced Engineering Materials, EarlyView.
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör, Moritz Grünewald, Kevin Popp, Ihsan Murat Kusoglu, Stephan Barcikowski, Stan Gann, Thomas Schuffenhauer, Martin Bastian, Claas Bierwisch, Johannes Rudloff   +9 more
wiley   +1 more source

Assessing the Powder Bed Fusion–Laser Beam Potential of Glass‐Forming Alloys Using Single and Multitrack Laser Glazing Experiments

Advanced Engineering Materials, EarlyView.
Characterizations of the expanse of processes parameter combinations that can be used to minimize cracking and porosity while optimizing crystallization and hardness are used to assess laser processing of four glass‐forming alloys. The set of viable alloys for laser additive manufacturing is not the same as for suction casting; some alloys are common ...
Soumya Mohan, Harrison Holberton, Aaron P. Stebner, Douglas C. Hofmann   +3 more
wiley   +1 more source

A Novel Approach on Rapid Alloy Development of Tool Steels for Laser Powder Bed Fusion by In Situ Alloying

Advanced Engineering Materials, EarlyView.
A novel approach for alloy development in laser powder bed fusion is introduced. Instead of producing massive samples of one composition at a time, prepressed powder bed samples produced from powder mixtures are processed. Guidelines for the selection of precursor powders are developed.
Felix Großwendt, Anna Strauch, Jonathan Lentz, Arne Röttger, Rainer Fechte‐Heinen, Sebastian Weber, Werner Theisen   +6 more
wiley   +1 more source

Accelerated aging procedure of epoxy structural adhesive for marine offshore applications

Journal of Advanced Joining Processes
Knowledge of the long-term performance of adhesive connections is undoubtedly of paramount importance to enable their deployment in civil, mechanical, and other engineering applications.
Marco Lamberti, Aurélien Maurel-Pantel, Frédéric Lebon   +2 more
doaj  

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

Advanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker, Felix Radtke, Jonathan Lentz, Santiago Benito, Christoph Broeckmann, Sebastian Weber   +5 more
wiley   +1 more source

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

Advanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke, Nick Hantke, Harald Zetzener, Jan T. Sehrt, Arno Kwade   +4 more
wiley   +1 more source

A MEMS electro-mechanical co-optimization platform featuring freeform geometry optimization based on a genetic algorithm. [PDF]

Microsyst Nanoeng
Wang C, Wu X, Sadeghpour S, Shojaeian M, Wang L, Madeira BP, Guan Y, Liu H, Wang Y, Zhang P, Mak PI.   +10 more
europepmc   +1 more source

High Repetition Rate Laser‐Induced Printing of Bioink with Picosecond Pulse Durations: Optimization of the Printing Process

Advanced Engineering Materials, EarlyView.
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert, Adrien Casanova, Ahmed Al‐Kattan, Stefano Testa, Frédérique Magdinier, Anne‐Patricia Alloncle   +5 more
wiley   +1 more source

A Neural Device Inspired by Neuronal Oscillatory Activity with Intrinsic Perception and Decision-Making. [PDF]

Adv Sci (Weinh)
Gu C, Ma G, Zhang M, Shen H, Pu L, Song Y, Yan S, Wang D, Ba K, Yu B, Han Z, Ren L.   +11 more
europepmc   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source