Results 101 to 110 of about 3,178 (215)

Dynamic Analysis of Electrically Assisted Turbocharger Rotor Considering Contact Effects in Nut Structures

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The rotor system of an electrically assisted turbocharger (EAT) is composed of multiple shaft components; The nonlinear connection and contact effects make it difficult to determine the system dynamic characteristics. To improve the modeling accuracy of EAT rotor system and evaluate the influence of contact between multi‐axis components and ...
Wenchao Liang, Shuqian Cao, Xiaolin Cao, Mingyue Hu, Yanhong Kang, Tianyou Wang   +5 more
wiley   +1 more source

A Geometrically Regularized Gradient‐Damage Model With Orthogonality‐Based Energy Split for Dynamic Anisotropic Compression‐Shear Fracture

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT This study proposes a novel geometrically regularized gradient‐damage model for simulating dynamic mixed‐mode fracture in orthotropic materials with tension–compression asymmetry. In this model, a thermodynamic framework is formulated by incorporating damage dissipation into internal energy evolution, from which the constitutive relation and ...
Hui Li, Shanyong Wang
wiley   +1 more source

Effects of Cooling Rates on Self‐Reinforced Polyethylene Composites via Multiscale Experimental Characterizations

Polymer Composites, EarlyView.
(top) fabrication and multi‐scale characterizations of self‐reinforced polyethylene composites (PE‐SRCs); (bottom) effects of cooling rates on mechanical properties and crystal morphologies of PE‐SRCs. ABSTRACT This study investigates cooling rate effects on self‐reinforced polyethylene composites (PE‐SRCs), focusing on macroscopic thermal and ...
Yelin Ni, Yao Qiao, Logan Kearney, Raveen John, Dounia Boushab, Ethan Nickerson, Amit Naskar, Kevin Simmons   +7 more
wiley   +1 more source

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

Polymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Study of the Effects of Mold Coating on the Birefringence of Injection‐Molded Optical‐Quality Polycarbonate

Polymer Engineering &Science, EarlyView.
Experimental and numerical evaluation of birefringence of injection molded parts ABSTRACT This study investigates the impact of mold surface coatings on the birefringence of injection‐molded optical‐quality polycarbonate lenses. Birefringence, caused by residual stresses during molding, affects optical clarity and performance.
Matthew Drew, Alexander Krueger, Alireza V. Amirkhizi, Davide Masato   +3 more
wiley   +1 more source

Decoupling Formulation and Processing Effects in Thermoplastic Starch Through a Data‐Driven Structure–Property Framework

Polymer Engineering &Science, EarlyView.
Processing‐property relationships in thermoplastic starch (TPS): plasticizer type, starch source and melt‐processing temperature establish a hierarchy of effects that governs process‐induced changes and the resulting TPS properties. ABSTRACT Thermoplastic starch (TPS) is a melt‐processable biopolymer whose properties depend strongly on formulation and ...
Cristina Pavón, Nerea Martínez, Alexandra Llidó Barragán, Juan López‐Martínez   +3 more
wiley   +1 more source

Application of Non‐Isothermal Network Theory With Curved‐Channel Element Characteristics to Predict Melt Conveying in High‐Performance Single‐Screw Extruders

Journal of Polymer Science, EarlyView.
This study presents a fast and accurate calculation tool to predict conveying of polymer melts in single‐screw extruders. Integrating generalized sub‐models into network theory allows to represent the complex screw shapes and material behavior more realistically. Tests on an industrial extruder show close agreement with experiments, outperforming older
Daniel Herzog, Wolfgang Roland, Christian Marschik, Gerald Berger‐Weber   +3 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Development of 3D-Printed Cementitious Layered Model Rocks with Recycled Waste: A Study on Anisotropy. [PDF]

Materials (Basel)
Hu Y, Wang Y, Wang Z, Wang S, Hu J, Wang L, Xu X.   +6 more
europepmc   +1 more source