Results 181 to 190 of about 108,536 (304)

Introduction of a Data‐Based Preliminary Compressor Design for Mechanical Vapor Compression

Chemie Ingenieur Technik, EarlyView.
This work proposes a data‐driven methodology for the design of compressors for mechanical vapor compression, with the objective of electrification of chemical processes utilizing renewable energy sources. This approach enables the determination of suitable compressor architectures and their performance parameters within the framework of a potential ...
Lars Hinz, Jan Goeing, Daniel Muth, Christian Herrmann, Jens Friedrichs   +4 more
wiley   +1 more source

Analysis strategies for time-resolved X-ray solution scattering at high repetition rate XFEL sources. [PDF]

J Synchrotron Radiat
Haubro ML, Zederkof DB, Khakhulin D, Yousef H, Jiang Y, Macias IJB, Kluyver T, Lima F, Biednov M, Milne C, Uemura Y, Zalden P, Wang H, Dohn AO, Mitterer K, Markmann V, Ohlson O, Wachter-Lehn MT, Lenzen P, Jensen BK, Høholdt A, van Driel TB, Nimmrich A, Selenius E, Levi G, Møller KB, Nielsen MM, Haldrup K.   +27 more
europepmc   +1 more source

A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios

Chemie Ingenieur Technik, EarlyView.
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais, Stephan Scholl, Katharina Jasch   +2 more
wiley   +1 more source

Automated Process Optimization in a Novel Triple Shaft Mixer with Adaptive Mixing Modes

Chemie Ingenieur Technik, EarlyView.
A novel multi‐purpose mixer with adjustable blade angle and a coaxial stirrer is developed, providing three degrees of freedom. An optimization strategy is integrated to autonomously identify optimal operating conditions through automated tests. The current draw of the main stirrer serves as the optimization criterion, while stirrer speeds, directions,
B. Schwarz, H. Kniele, J. A. Lindner
wiley   +1 more source

Real-time monitoring and closed-loop control system for multi-jet electrospinning with coaxial laser. [PDF]

Sci Rep
Jiang J, Sun Z, Chen J, Chen H, Zheng G, Wang X, Ye R, Li W.   +7 more
europepmc   +1 more source

Hydroprocessing of synthetic kerosene over a non‐sulphided Ni/Al2O3 catalyst: Impact of alcohols and ketones on alkene conversion

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Synthetic jet fuel containing non‐petroleum‐derived kerosene can be produced from synthetic kerosene obtained through processes that include a hydroprocessing step. The potential use of non‐sulphided (reduced) nickel supported on alumina (Ni/Al2O3) was evaluated as an alternative to sulphided catalysts to saturate alkenes in sulphur‐free ...
Garima Chauhan, Felix Link, Cibele Melo Halmenschlager, Arno de Klerk   +3 more
wiley   +1 more source

Experimental study and evaluation analysis on the plugging mechanism of sand control screen in argillaceous Fine-Silt gas hydrate reservoirs. [PDF]

Sci Rep
Wang EC, Liao H, Zhang HE.
europepmc   +1 more source

Innovative electrospun geopolymer/zeolite/PVA composite membranes

The Canadian Journal of Chemical Engineering, EarlyView.
Proposed scheme of gas adsorption mechanisms on electrospun geopolymer/zeolite/PVA composite membranes. Abstract Innovative electrospun poly(vinyl alcohol) (PVA)–geopolymer–zeolite 13X composite membranes were successfully fabricated and systematically characterized.
Mariana Schneider, Mar Calzado‐Delgado, Enrique Rodríguez‐Castellón, Maria Olga Guerrero‐Pérez, Dachamir Hotza, Agenor De Noni Junior, Adel Zrelli, Regina de Fátima Peralta Muniz Moreira   +7 more
wiley   +1 more source

Enhancing Permeability and Gas Extraction in Low-Permeability Coal Seams: A Study on Gas-Liquid Two-Phase Jet Technology. [PDF]

ACS Omega
Li Y.
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