Results 91 to 100 of about 14,726 (253)

Lumped modeling of bubbling fluidized beds for high‐temperature processes

AIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh, Elyas Moghaddam, Wiebren de Jong, Johan T. Padding   +3 more
wiley   +1 more source

Exploring the Sound Absorption Characteristics of Biodegradable Agricultural Wastes, Coconut Fiber, Groundnut Shell, and Sugarcane Fiber

Environmental and Climate Technologies
Noise pollution is a major global health issue, especially in large cities. Its effects go beyond mere annoyance, impacting health, emotions, and behavior.
Gboe Nuushuun Archie, Ružickij Robert, Grubliauskas Raimondas   +2 more
doaj   +1 more source

Versatile Standing Wave Generation Between Arbitrarily Oriented Surfaces Using Acoustic Metasurface Deflectors and Retroreflectors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi, Farhood Aghdasi, Ali Zabihi, Amir K. Miri, Chen Shen   +4 more
wiley   +1 more source

Study on Acoustic Characteristics and Mechanisms of Low-Frequency Broadband Sound-Absorbing Honeycomb Metastructures

Applied Sciences
To address the dual requirements of underwater low-frequency noise control, a multi-layer periodic composite underwater sound-absorbing material is designed.
Bowen Tian, Rongwu Xu, Wenwen Zhang, Jinwei Liu   +3 more
doaj   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Sound Absorption Coefficient Data for Laboratory-Produced Sound-Absorbing Panels from Textile Waste

Data
With the increasing demand for sustainable building materials, it has become essential to identify sustainable alternatives to conventional sound absorbers, particularly in the context of waste reduction and the circular economy.
Kristaps Siltumens, Inga Grinfelde, Raitis Brencis, Andris Paeglitis   +3 more
doaj   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

How Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source

The study of sound absorption coefficient of aluminium nanocomposites

طب کار, 2017
Background Sound is one of the most important work-related risk factors and most widespread physical factors threatening the health of workers. Almost one of the best ways to control the sound, is sound absorber.
Abolfazl Barkhordari, Asiye Abbasi, , , Ali Jebali   +4 more
doaj  

Improvement of Sound-Absorbing Wool Material by Laminating Permeable Nonwoven Fabric Sheet and Nonpermeable Membrane

Technologies
Thin sound-absorbing materials are particularly desired in space-constrained applications, such as in the automotive industry. In this study, we theoretically analyzed the structure of relatively thin glass wool or polyester wool laminated with a ...
Shuichi Sakamoto, Kodai Sato, Gaku Muroi
doaj   +1 more source