Results 91 to 100 of about 17,178 (261)

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

open access: yesAdvanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam   +5 more
wiley   +1 more source

Influence of Infill Design in Fabrication of 3D-printed PLA Parts Using FDM

open access: yesMedžiagotyra
The present work examines the mechanical characteristics of polylactic acid (PLA) samples manufactured in 3D printing using various infill patterns. The infill patterns investigated are cuboid, grid, and octet, prepared at a constant infill density of 50
Tamilanban THANGARAJU   +6 more
doaj   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

Double Helix Structure for Stable Flexural Actuation in Soft Robotics

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a double‐helical architecture for soft robotic actuators that enhances twisting resistance, increases output force, and minimizes undesired deformation. Actuators driven by shape‐memory alloy wires exhibit a roughly fivefold higher torsional/flexural stiffness ratio and 50% greater force output.
Louis Plottel   +4 more
wiley   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al   +3 more
wiley   +1 more source

Accelerating Musculoskeletal Robotics Through Parametric Design and 3D‐Printed Flexible Structures

open access: yesAdvanced Intelligent Systems, EarlyView.
Parametric design and flexible 3D printing create muscle‐, tendon‐, ligament‐, and cushion‐like robotic elements from a single thermoplastic polyurethane material. Tuning lattice patterns adjusts regional mechanical properties and enables coordinated multijoint motions in a life‐sized musculoskeletal leg under external suspension, with partial body ...
Shunnosuke Yoshimura   +2 more
wiley   +1 more source

Post-processing of engineering products obtained by additive layer modelling

open access: yesТехнічна інженерія
The article investigates the influence of mechanical post-treatment on the geometric and physical and mechanical characteristics of products manufactured by additive layer modelling (in particular, FDM). The mechanisms of formation of the defective layer
V.M. Orel   +3 more
doaj   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

open access: yesAdvanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony   +3 more
wiley   +1 more source

IN-FDM-BB Werkstattbericht: W 2.1.2 Übersicht relevanter FDM-Materialien für FDM-Verantwortliche und Forschende

open access: yes
Finanziert durch das Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR) und die Europäische Union (NextGenerationEU), sowie das Ministerium für Wissenschaft, Forschung und Kultur (MWFK) des Landes Brandenburg.
openaire   +2 more sources

Production of 3D printed biomodels of the canine brain for veterinary neuroanatomy teaching

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Teaching neuroanatomy presents multiple challenges to both students and teachers, as it is a subject with highly dense content that commonly causes the development of aversion by students, a phenomenon referred to as “neurophobia,” which has been documented in human and veterinary medicine students.
João Victor Barbosa Tenório Fireman   +1 more
wiley   +1 more source

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