Results 171 to 180 of about 8,393,375 (379)

Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern   +3 more
wiley   +1 more source

A Novel Approach to Produce Metal–Metal Composites by Leveraging Immiscibility: Laser Powder Bed Fusion of Nanosilver‐Dispersed Titanium

open access: yesAdvanced Engineering Materials, EarlyView.
Incorporating nanosized silver into titanium for antimicrobial materials exploits the metastable miscibility gap between silver and titanium. Silver nanoparticles are synthesized via pulsed laser ablation in liquid. Silver addition refines the microstructure, increases hardness by 30%, and reduces Staphylococcus capitis microbial adhesion by 70%, with ...
Hamed Shokri   +4 more
wiley   +1 more source

Optimal Fault-Tolerant Control for Dynamic Systems with Distributed Fault Parameter Uncertainty Domains

open access: yesAin Shams Engineering Journal
This paper presents an optimal fault-tolerant control (FTC) method for dynamic systems with distributed fault parameter uncertainty. According to the distributed characteristic of the fault parameter uncertainty domain and insufficient fault information,
Dan Du, Zetao Li
doaj  

Uncertainty propagation of atmospheric correction parameters [PDF]

open access: yes, 2016
The main objective of this thesis was to quantify the propagation ofuncertainty in a layered processing system as applied in Processing andArchiving Facilities (PAF). A framework is presented that is suited for thepurpose. Practical uncertainty estimates are then obtained in estimating areectance product using three parameters: Column Water Vapour (CWV)
openaire   +2 more sources

Icephobic Gradient Polymer Coatings Coupled with Electromechanical De‐icing Systems: A Promising Ice Repellent Hybrid System

open access: yesAdvanced Engineering Materials, EarlyView.
A hybrid system for de‐icing made of gradient polymer coatings, deposited on aluminum coupled with an electromechanical system, is demonstrated as an effective and durable strategy for reducing drastically ice adhesion. The system is capable of detaching ice blocks over the coating in less than 1 s, regardless of the ice type and covered area ...
Gabriel Hernández Rodríguez   +8 more
wiley   +1 more source

Ultra‐Shallow Flat Heat Waves on Low Thermal Conductivity Flexible Polyimide Substrate for Millisecond Thermal Analysis of Materials and Bioelectronic Applications

open access: yesAdvanced Engineering Materials, EarlyView.
An electronic system is presented consisting of a silver thin‐film electrode on a polyimide substrate working both as a heating element and a resistive temperature sensor, generating millisecond heat pulses with very fast heating and cooling rates and a flat peak temperature with a tunable duration.
Bahman K. Boroujeni   +5 more
wiley   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec   +6 more
wiley   +1 more source

C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models [PDF]

open access: yesarXiv
Low-Rank Adaptation (LoRA) offers a cost-effective solution for fine-tuning large language models (LLMs), but it often produces overconfident predictions in data-scarce few-shot settings. To address this issue, several classical statistical learning approaches have been repurposed for scalable uncertainty-aware LoRA fine-tuning.
arxiv  

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