Results 221 to 230 of about 8,400 (309)

Research on Optimizing Forming Accuracy in Food 3D Printing Based on Temperature-Pressure Dual Closed-Loop Control. [PDF]

Micromachines (Basel)
Wang J, Cao H, Shen J, Duan X, Xu Y, Xie T, Gu R.   +6 more
europepmc   +1 more source

Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process

Chemie Ingenieur Technik, EarlyView.
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer, Markus Vogelbacher, Mücahit Terzi, Mohit Singh, Francsico Vidal‐Vazquez, Jörg Matthes   +5 more
wiley   +1 more source

Interfacial adsorption characteristics of surfactant‐modified nanoparticles: Equilibrium and dynamic effects of salinity at the oil–water interface

The Canadian Journal of Chemical Engineering, EarlyView.
Surfactant‐modified nanoparticles adsorb at the oil–water interface, enabling interfacial stabilization and microemulsion formation. Abstract This study systematically investigated the interfacial behaviour of silicon dioxide (SiO2) and aluminium oxide (Al2O3) nanoparticles (NPs) functionalized with cationic (CTAB), anionic (SDS), and nonionic (Triton ...
Behrooz Ahmadi, Eghbal Sahraei, Amir H. Mohammadi   +2 more
wiley   +1 more source

Direct Reuse of Spent Nd-Fe-B Permanent Magnets. [PDF]

Materials (Basel)
Cherkezova-Zheleva Z, Paneva D, Fironda SA, Piroeva I, Burada M, Sabeva M, Vasileva A, Ivanov K, Ranguelov B, Piticescu RR.   +9 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Numerical Modelling of Keratinocyte Behaviour: A Comprehensive Review of Biochemical and Mechanical Frameworks. [PDF]

Cells
Rashid S, Maiti R, Roy A.
europepmc   +1 more source

Clathrate hydrate crystallization

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Clathrate hydrate crystallization has been an area of interest to chemical engineers from the point of view of crystal structure, thermophysical properties, phase equilibria, kinetics, industrial applications, and environmental (climate change) implications.
Peter Englezos
wiley   +1 more source

Comparative assessment of volume‐of‐fluid (VOF) multiphase solvers for viscoplastic flow over grooved patterned surfaces

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Accurately simulating multiphase flows at low capillary numbers remains challenging due to spurious currents and interface discretization errors. We present a systematic comparison of four volume‐of‐fluid (VOF) solvers within the OpenFOAM framework for pressure‐driven Poiseuille–Bingham flow over grooved surfaces: interFoam with classical ...
Amir Joulaei, Alice Villette, Seyed Mohammad Taghavi   +2 more
wiley   +1 more source

Magnetic Performance and Anticorrosion Coating Stability of Thermally Demagnetized Nd-Fe-B Permanent Magnets for Reuse Applications. [PDF]

Materials (Basel)
Tomše T, Kubelka P, Moreno López R, Fleissner P, Grau L, Zaplotnik M, Burkhardt C.   +6 more
europepmc   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source