Results 51 to 60 of about 3,137 (254)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Modeling and Real-time Visual Simulation of Multi-axis CNC Machine Tools for Digital Twins

Journal of Harbin University of Science and Technology
As the core engine of intelligent manufacturing, digital twins hold immense potential in the fields of virtual simulation and machining visualization. However, traditional offline digital twin modeling methods rely on the accuracy of preset parameters ...
MENG Boyang, SUN Wenxing, YUE Caixu, ZHU Tongjie, FU Zizhen, LIU XianLi   +5 more
doaj   +1 more source

Effect of CAD/CAM Post Process on S-Shaped Machining Test for Five-Axis Machining Center

International Journal of Automation Technology, 2019
ISO 10791-7, the test standard for machining centers, was revised in 2014 to add the test method for five-axis machining centers. However, an S-shaped test was additionally proposed as an accuracy test of aircraft parts from China immediately before the establishment of the test standard.
Yukitoshi Ihara, Koichiro Takubo, Tatsuo Nakai, Ryuta Sato   +3 more
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Tool path design for cube-machining test to minimize influence of Z-axis reversal error motion

Journal of Advanced Mechanical Design, Systems, and Manufacturing
Cube-machining test is a possible method for evaluating the accuracy of five-axis machining centers. Although the geometric errors of rotary axes can be evaluated by measuring the height and inclination errors of the machined surfaces, other error ...
Ryuta SATO, Zongze LI, Shigehiko SAKAMOTO   +2 more
doaj   +1 more source

Learning-Based Prediction of Pose-Dependent Dynamics

Journal of Manufacturing and Materials Processing, 2020
The constantly increasing demand for both, higher production output and more complex product geometries, which can only be achieved using five-axis milling processes, requires elaborated analysis approaches to optimize the regarded process.
Felix Finkeldey, Andreas Wirtz, Torben Merhofe, Petra Wiederkehr   +3 more
doaj   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Dual-Motor Position Control Based on a Synchronous State Observer

Machines
High-end vertical five-axis machining centers commonly adopt dual-motor direct-drive configurations for their cradle-type A-axis to improve dynamic performance; however, this approach introduces control challenges in balancing counteracting torque and ...
Li Lei, Qingyang Wang, Yesong Li
doaj   +1 more source

Research on Fillet Simulation Machining of Spiral Bevel Gear based on Five-axis Machining Center [PDF]

Journal of Computer and Electronics Studies, 2019
The traditional spiral bevel gear fillet processing process mainly rely on artificial grinding method, resulting in low efficiency processing, work intensity, parts quality can not guarantee such problems. Aiming at the above problems, a method of fillet machining in five - axis machining center is proposed. The feasibility of the method is verified by
openaire   +1 more source