Results 221 to 230 of about 1,302,695 (334)

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

open access: yesAdvanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann   +5 more
wiley   +1 more source

Ubiquitous memory augmentation via mobile multimodal embedding system. [PDF]

open access: yesNat Commun
Cai D   +7 more
europepmc   +1 more source

Intermetallic Compound Layer Morphology and Distribution in Friction‐Welded Steel–Aluminum Components

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, how friction‐welding parameters (rotational speed, etc.) affect the morphology, distribution, and local thickness of the intermetallic compound layer (IMC‐layer) in friction‐welded steel‐aluminum hybrid components is investigated. In the results, it is shown that lower speeds (700 rpm) lead to a more uniform, thinner IMC‐layer (<0.5 μm),
Christoph Kahra   +6 more
wiley   +1 more source

Non‐Destructive and Mechanical Characterization of the Bond Quality of Co‐Extruded Titanium‐Aluminum Profiles

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld   +9 more
wiley   +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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