Results 161 to 170 of about 17,157,464 (315)

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger   +7 more
wiley   +1 more source

Occurrence of severe slugging in oil production lines and mitigation methods: A numerical simulation approach using ALFAsim®

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Severe slugging represents a major challenge in offshore production systems, potentially compromising operational stability and the integrity of installations. Although established simulators such as OLGA® are widely used for its analysis, there is a gap in the literature regarding the application of the one‐dimensional simulator ALFAsim® for ...
Wayne Gabriel Nóbrega Firme   +4 more
wiley   +1 more source

Jackknife bias‐corrected variance estimation for the generalized regression estimator

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley   +1 more source

Taylor Times: April 5, 1996

open access: yes, 1996
How do you celebrate the founding of Taylor University? – …By honoring our heritage. – …With books. – …With shouts of praise. – …With a big party. – …By telling all our friends.
Taylor University
core  

A partial envelope approach for modelling multivariate spatial‐temporal data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy