Results 61 to 70 of about 9,250,019 (280)

Clinical Variability and Genotype Driven Outcomes in an International Cohort of 14 Pediatric FIG4 Patients

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Biallelic FIG4 variants classically cause distinct conditions characterized by peripheral neuropathy (Charcot‐Marie‐Tooth disease type 4J) or skeletal dysplasia (Yunis‐Varón syndrome). However, central nervous system involvement is increasingly recognized. The prevalence and specific characteristics of movement disorders within FIG4‐
Andrea Gangfuß, Vykuntaraju K. Gowda, Daniel Natera‐de Benito, Pinki Munot, Maria Vanegas, Alejandra Darling, Constanze Reutlinger, Laura Carrera‐Garcia, Gilbert Wunderlich, Heike Kölbel, Burkhard Stüve, David Muhmann, Lucía Monfort Belenguer, Diana‐Gabriela Barca, Viveka Santhosh Reddy C, Varunvenkat M. Srinivasan, Cristina Molina Anguita, Heinz Jungbluth, Hormos Salimi Dafsari, Thomas Rossor, Johann Böhm, Ulrike Schara‐Schmidt, Andreas Roos   +22 more
wiley   +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

Five-axis contour error control based on spatial iterative learning

, 2022
In this paper, a contour error control strategy based on spatial iterative learning control (sILC) is developed for repetitive processing of five-axis computer numerical control (CNC) machine tools.
Yanan Li (4468024), Enming Miao (16290515), Ruijie Yue (16290518), Zhiyang You (16290512), Jiangang Li (566206)   +4 more
core   +1 more source

Innovative Structural Optimization and Dynamic Performance Enhancement of High-Precision Five-Axis Machine Tools

Journal of Manufacturing and Materials Processing
To satisfy the requirements of five-axis processing quality, this article improves and optimizes the machine tool structure design to produce improved dynamic characteristics. This study focuses on the investigation of five-axis machine tools’ static and
Ratnakar Behera, Tzu-Chi Chan, Jyun-Sian Yang   +2 more
doaj   +1 more source

Pick-interval scallop heightestimation using three types of geometrical end mill cutters on CNC milling machine [PDF]

Engineering and Technology Journal, 2013
This research presents the theoretical model, simulation and experimental verification to predict the magnitude of scallop height using 3 and 5-axis milling machine, where the effect of geometrical shape of the workpiece relative to the effect of ...
Ahmed A.A.Duroobi, Jamal Mohamed, Bahha I. Kazem, Chen Wenlaing   +3 more
doaj   +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

An attempt to relate dynamic tracking error to occurring situation based on additional rectilinear motion for five-axis machine tools

Advances in Mechanical Engineering, 2020
During five-axis CNC machining, the dynamic tracking error of the five-axis machine tool caused by imperfect servo dynamic performance is the major factor affecting the accuracy during high-speed and high-precision manufacturing.
Qicheng Ding, Jiexiong Ding, Jing Zhang, Li Du   +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

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source