Results 101 to 110 of about 3,409,393 (317)

Robust soft sensors for SBR monitoring

open access: yesWater Science and Technology, 2001
In wastewater treatment some process variables may be very difficult to measure directly because of the non-availability or excessive cost of sensors. An alternative is to use ‘soft sensors” that provide online estimates of these inacessible variables by calculations based on auxiliary measurable variables.
D, Zyngier   +3 more
openaire   +2 more sources

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera   +8 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

A systematic approach for soft sensor development

open access: yesComputers & Chemical Engineering, 2007
This paper presents a systematic approach based on robust statistical techniques for development of a data-driven soft sensor, which is an important component of the process analytical technology (PAT) and is essential for effective quality control. The data quality is obviously of essential significance for a data-driven soft sensor.
Bao Lin   +3 more
openaire   +2 more sources

Inductance-Based Soft and Flexible Pressure Sensors using Various Compositions of Iron Particles

open access: yes, 2019
This paper presents inductance-based soft and flexible pressure sensors comprising of a spiral coil made with LIGA process and ferromagnetic elastomer made with different ratios of ecoflex to iron powder (1:1, 2:1, 3:1, 5:1, 1:2, 1:3, 1:5).
Oliver Ozioko   +4 more
core   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

open access: yesAdvanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell   +3 more
wiley   +1 more source

Object Recognition Using Soft Sensors [PDF]

open access: yes, 2021
The development of soft sensors with high sensitivities and good response time is currently researched in great interest, especially in healthcare and soft robotics systems. However, there is a lack of study to equip the soft sensors with a smart feature.
Lim, Chu Chen
core  

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal   +2 more
wiley   +1 more source

Composition‐Tuned Enhancement of the Anomalous Nernst Effect in FeCo–Pt Thin Films on Rigid and Flexible Substrates

open access: yesAdvanced Engineering Materials, EarlyView.
Disordered (Fe50Co50)1−xPtx thin films exhibit a pronounced anomalous Nernst effect (ANE) with a strong composition dependence on both rigid and flexible substrates. The transverse thermoelectric response peaks near 22.5 at.% Pt, accompanied by enhanced αxy/σxy scaling, thermal transport, and ANE sensitivity.
Mojtaba Mohammadi   +2 more
wiley   +1 more source

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