Results 131 to 140 of about 71,950 (328)

Dislocation Distribution, Crystallographic Texture Evolution, and Plastic Inhomogeneity of Inconel 718 Fabricated by Laser Powder Bed Fusion

open access: yesAdvanced Engineering Materials, EarlyView.
Spatial distribution of microstructure in Inconel 718 3D‐printed with bidirectional strategy with no rotation and chessboard strategy is studied. The former results in a highly ordered arrangement of coarse grains separated by line clusters of dislocation‐dense fine grains. This arrangement is disrupted by the chessboard strategy.
Jalal Al‐Lami   +4 more
wiley   +1 more source

Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control

open access: yesAdvanced Engineering Materials, EarlyView.
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann   +18 more
wiley   +1 more source

Determining the Necessity of Post‐Processing Heat Treatment for the 316L Stainless Steel Manufactured by Laser Powder Bed Fusion through Evaluation of Mechanical and Corrosion Properties

open access: yesAdvanced Engineering Materials, EarlyView.
This article examines the effect of postprocessing heat treatment on 316L stainless steel (SS316L) produced via laser powder bed fusion (LPBF). Heat treatment slightly affects property anisotropy, reduces strength, and enhances elongation. However, it increases corrosion susceptibility due to nanoscale precipitations, though overall corrosion ...
Baibhav Karan   +5 more
wiley   +1 more source

Surgical treatment of perineal hypospadias with complete penoscrotal transposition in DSD patients: Our experience with a “three-staged” reconstructive procedure

open access: gold, 2023
Leonardo Corbi   +5 more
openalex   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

open access: yesAdvanced Engineering Materials, EarlyView.
This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen   +20 more
wiley   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

A New Computer-aided Technique for Planning the Aesthetic Outcome of Plastic Surgery [PDF]

open access: yes, 2008
Plastic surgery plays a major role in today health care. Planning plastic face surgery requires dealing with the elusive concept of attractiveness for evaluating feasible beautification of a particular face.
Bottino, Andrea Giuseppe   +2 more
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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