Results 101 to 110 of about 273,168 (343)

Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics

open access: yesAIChE Journal, EarlyView.
Abstract This study presents the development of a computational fluid dynamics model for predicting ultra‐low temperatures (less than −100°C). The frost formation rate was characterized using dimensionless numbers derived from operating conditions. To better capture the underlying physical phenomena of ultra‐low temperature frosting, various physical ...
Joshua Chang Qai Wong   +4 more
wiley   +1 more source

Viscosity driven variations in slot die coating of nanocellulosic barrier layers

open access: yesAIChE Journal, EarlyView.
Abstract A suitable candidate for applying nanocellulose on paper as packaging material is slot die coating, but a complex rheological behavior makes process optimization challenging. In this work, coating windows of nanocellulosic suspensions modeled as Casson fluids with different viscosities have been determined with computational fluid dynamics ...
L. Maier, H. Briesen, D. S. Nasato
wiley   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai   +8 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

3D Locomotion of Surface‐Rolling Microrobots: A Trade‐off between Hydrodynamic Wall and Gravitational Effects

open access: yesAdvanced Intelligent Systems, EarlyView.
This study investigates 3D locomotion of surface‐rolling microrobots, revealing a trade‐off between hydrodynamic wall effects and gravity. Through experiments and simulations, it explores how robot size, inclination angle, actuation frequency, and surface microtopography affect the 3D locomotion.
Myungjin Park   +5 more
wiley   +1 more source

Design, Modeling, and Experimentation of Polar Robot: Assisted Sail and Multimode Motion for Energy Saving

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a polar robot that utilizes assisted sail and multimode motion to achieve energy‐saving. The design, modeling, and experimental methods are introduced. The results show that the energy‐saving effect of the robot using a multimode energy savings control strategy reaches 21.19%, providing technical support for long‐term polar ...
Yongsheng Luo   +8 more
wiley   +1 more source

Discrete and Continuous Adjoint-Based Aerostructural Wing Shape Optimization of a Business Jet

open access: yesFluids
This article presents single- and multi-disciplinary shape optimizations of a generic business jet wing at two transonic cruise flow conditions. The studies performed are based on two high-fidelity gradient-based optimization tools, assisted by the ...
Konstantinos Tsiakas   +7 more
doaj   +1 more source

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