Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

365
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
365
Pipe Flowrate Measurement: Problem Solving01:28

Pipe Flowrate Measurement: Problem Solving

554
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is...
554
Measurement of Fluid Pressure01:16

Measurement of Fluid Pressure

207
Fluid pressure is commonly measured using devices called manometers, which rely on liquid columns to indicate pressure differences. The height of a liquid column in a manometer reflects the pressure exerted by the fluid, providing a simple yet effective means of measurement. Different types of manometers serve specific purposes based on their configurations and the type of fluids involved.
A basic form of manometer is the piezometer, a vertical tube open at the top and filled with the same...
207

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Influence of Hardwood Lignin Blending on the Electrical and Mechanical Properties of Cellulose Based Carbon Fibers.

ACS sustainable chemistry & engineering·2024
Same author

Capillary forces exerted by a water bridge on cellulose nanocrystals: the effect of an external electric field.

Physical chemistry chemical physics : PCCP·2023
Same author

Wettability of cellulose surfaces under the influence of an external electric field.

Journal of colloid and interface science·2021
Same author

Quantifying Charge Effects on Fouling Layer Strength and (Ir)Removability during Cross-Flow Microfiltration.

Membranes·2021
Same author

Disassociated molecular orientation distributions of a composite cellulose-lignin carbon fiber precursor: A study by rotor synchronized NMR spectroscopy and X-ray scattering.

Carbohydrate polymers·2020
Same author

Hydrothermal pretreatment of wood by mild steam explosion and hot water extraction.

Bioresource technology·2017

Related Experiment Video

Updated: Jul 12, 2025

Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing
10:19

Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing

Published on: February 13, 2016

11.4K

Monitoring Membrane Fouling Using Fluid Dynamic Gauging: Influence of Feed Characteristics and Operating Conditions.

Kenneth Arandia1,2, Nabin Kumar Karna1,2, Tuve Mattsson3

  • 1Department of Chemistry and Chemical Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.

Membranes
|October 27, 2023
PubMed
Summary
This summary is machine-generated.

Understanding membrane fouling mechanisms is crucial. This study reveals how feed chemistry and operating conditions, like pH and flow rate, impact microcrystalline cellulose fouling layers, informing better antifouling strategies.

Keywords:
fluid dynamic gaugingmembrane foulingmicrocrystalline cellulosemicrofiltration

More Related Videos

Experimental Multiscale Methodology for Predicting Material Fouling Resistance
09:13

Experimental Multiscale Methodology for Predicting Material Fouling Resistance

1.5K
Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification
07:32

Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification

Published on: April 7, 2017

9.4K

Related Experiment Videos

Last Updated: Jul 12, 2025

Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing
10:19

Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing

Published on: February 13, 2016

11.4K
Experimental Multiscale Methodology for Predicting Material Fouling Resistance
09:13

Experimental Multiscale Methodology for Predicting Material Fouling Resistance

1.5K
Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification
07:32

Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification

Published on: April 7, 2017

9.4K

Area of Science:

  • Membrane Science and Technology
  • Water Treatment Technologies
  • Colloid and Surface Chemistry

Background:

  • Membrane fouling significantly hinders separation efficiency.
  • Existing research often lacks depth in understanding fouling mechanisms.
  • Microcrystalline cellulose is a common foulant in various industrial processes.

Purpose of the Study:

  • Investigate the influence of feed suspension chemistry and operating conditions on microcrystalline cellulose fouling.
  • Elucidate the fouling mechanisms under different experimental parameters.
  • Provide insights for developing effective antifouling strategies.

Main Methods:

  • Utilized Fluid Dynamic Gauging (FDG) to monitor fouling layer properties.
  • Systematically varied feed suspension chemistry (pH, ionic strength).
  • Adjusted operating conditions (transmembrane pressure, feed concentration, cross-flow velocity, filtration time).

Main Results:

  • Fouling layer cohesive strength increased towards the membrane due to compressive pressure.
  • Lower pH and higher ionic strength promoted particle agglomeration and thicker cakes.
  • Higher feed concentrations, transmembrane pressures, and longer filtration times resulted in thicker cakes.
  • Transition and turbulent flow regimes yielded thinner but stronger fouling layers.

Conclusions:

  • Feed characteristics and operating conditions profoundly influence membrane fouling behavior.
  • Understanding these influences is key to mitigating fouling.
  • Findings can guide the design of more resilient membrane systems.