Results 141 to 150 of about 3,548,127 (348)
How electric vehicle energy flow is distributed in low-temperature conditions under real-world driving? [PDF]
Jingyang Hua +4 more
openalex +1 more source
Energy Partitioning in Granular Flow Depends on Mineralogy via Nanoscale Plastic Work [PDF]
, 2019 S. Taylor, E. E. Brodsky
openalex +1 more source
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows [PDF]
, 2021 Sam Lewin +3 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.This article demonstrates the successful qualification of a copper–tungsten composite for laser powder bed fusion. The resulting components exhibited high density, high thermal conductivity, and reduced thermal expansion. Heat sinks with complex geometries were successfully manufactured, clearly showcasing the material's potential for additive ...
Simon Rauh +6 more
wiley +1 more source
Carbon and Energy Flow Dynamics in a Coastal Salt Marsh
, 2008 James Chacko Kathilankal
openalex +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 +2 more
wiley +1 more source
Energy and Mass Matching Characteristics of the Heat-Absorbing Side of the Ammonia Energy Storage System under Nonuniform Energy Flow Density. [PDF]
ACS Omega, 2023 Chen K +6 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
wiley +1 more source
Melt Temperature Estimation by Machine Learning Model Based on Energy Flow in Injection Molding. [PDF]
Polymers (Basel), 2022 Jeon J, Rhee B, Gim J.
europepmc +1 more source