Results 151 to 160 of about 4,762,893 (253)

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

Line Geometry for 3D Shape Understanding and Reconstruction

open access: yesEuropean Conference on Computer Vision, 2004
H. Pottmann   +3 more
semanticscholar   +1 more source

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon   +7 more
wiley   +1 more source

Maillard Type Reaction for Electroless Copper Plating onto Ceramic Nanoparticles

open access: yesAdvanced Engineering Materials, EarlyView.
This work presents the manufacturing of copper‐plated ceramic nanoparticles in an environmentally friendly way. Supported by organic functionalizations with pectin an electroless plating step can be performed. Sustainable reagents like xylose, and several amino acids are used for the reduction process.
Lukas Mielewczyk   +8 more
wiley   +1 more source

Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation

open access: yesAdvanced Engineering Materials, EarlyView.
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling   +7 more
wiley   +1 more source

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