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

Major Losses in Pipes01:28

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
Single Pipe Systems01:24

Single Pipe Systems

In pipe flow analysis, problems are typically categorized into three types — Type I, Type II, and Type III — based on the known parameters and the desired outcome. Each type of problem addresses specific engineering requirements using fluid properties, pipe characteristics, and operational conditions.
In a Type I problem, fluid properties (density and viscosity), pipe characteristics (including diameter, length, and surface roughness), and the flow rate or average velocity are known. The...
General Characteristics of Pipe Flow I01:22

General Characteristics of Pipe Flow I

Pipe flow refers to the movement of fluids within fully enclosed conduits, typically cylindrical in shape, such as water pipes or hydraulic hoses. These conduits are designed to withstand high-pressure gradients that drive fluid movement, contrasting with open-channel flows, where gravity is the primary driving force. Rectangular conduits, like air conditioning and heating ducts, generally operate at lower pressures and are less suited for high-pressure applications.
The classification of fluid...
Design Example: Flow of Oil Through Circular Pipes01:25

Design Example: Flow of Oil Through Circular Pipes

Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired volumetric...
Dimensional Analysis01:27

Dimensional Analysis

Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
General Characteristics of Pipe Flow II01:24

General Characteristics of Pipe Flow II

When fluid enters a pipe, it first passes through the entrance region, where the velocity profile adjusts due to viscous effects. In this region, a boundary layer forms along the pipe walls and grows until it fully occupies the pipe's cross-section. Once the boundary layer merges, the flow becomes fully developed, with a steady velocity profile that remains consistent along the pipe's length.
The distance to reach a fully developed flow is called the entrance length and depends on the flow...

You might also read

Related Articles

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

Sort by
Same author

The environmental benefits of industrial symbiosis: A case study on substituting sand with steel slag as filler in epoxy mortar.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA·2025
Same author

TRAINERWALL: An Innovative, Cost-Effective Removable Anteroom for Pathogen Containment in Healthcare Settings.

International journal of environmental research and public health·2025
Same author

Designing Biomimetic Conductive Gelatin-Chitosan-Carbon Black Nanocomposite Hydrogels for Tissue Engineering.

Biomimetics (Basel, Switzerland)·2023
Same author

Correction to: Brain retraction injury: systematic literature review.

Neurosurgical review·2023
Same author

Brain retraction injury: systematic literature review.

Neurosurgical review·2023
Same author

An expandable chamber for safe brain retraction: new technologies in the field of transcranial endoscopic surgery.

Journal of Zhejiang University. Science. B·2023

Related Experiment Video

Updated: Jul 16, 2026

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
06:34

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

Published on: January 6, 2023

Data-Driven Pressure Drop Prediction in Corrugated Pipe Extrusion: A Production-Based Power Law Approach.

Marco Cinquini1, Giorgio Ramorino1, Anna Gobetti1

  • 1Mechanical and Industrial Engineering Department, University of Brescia, Via Branze 38, 25123 Brescia, Italy.

Polymers
|July 15, 2026
PubMed
Summary

This study introduces a novel data-driven protocol to predict die pressure drop in polymer processing, eliminating the need for laboratory rheometry. This accelerates the design of extrusion dies for plastic pipes.

Keywords:
corrugated pipesdie designextrusionpower lawpredictive modelingpressure dropproduction data

More Related Videos

A Cost-effective and Reliable Method to Predict Mechanical Stress in Single-use and Standard Pumps
07:34

A Cost-effective and Reliable Method to Predict Mechanical Stress in Single-use and Standard Pumps

Published on: August 5, 2015

Mechanical Expansion of Steel Tubing as a Solution to Leaky Wellbores
09:32

Mechanical Expansion of Steel Tubing as a Solution to Leaky Wellbores

Published on: November 20, 2014

Related Experiment Videos

Last Updated: Jul 16, 2026

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
06:34

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

Published on: January 6, 2023

A Cost-effective and Reliable Method to Predict Mechanical Stress in Single-use and Standard Pumps
07:34

A Cost-effective and Reliable Method to Predict Mechanical Stress in Single-use and Standard Pumps

Published on: August 5, 2015

Mechanical Expansion of Steel Tubing as a Solution to Leaky Wellbores
09:32

Mechanical Expansion of Steel Tubing as a Solution to Leaky Wellbores

Published on: November 20, 2014

Area of Science:

  • Polymer processing
  • Computational fluid dynamics
  • Materials science

Background:

  • Traditional rheological property extraction for polymer processing is time-consuming and requires offline laboratory testing.
  • Optimizing extrusion dies for corrugated plastic pipes faces development bottlenecks due to proprietary material blends and undocumented properties.

Purpose of the Study:

  • To develop a novel, data-driven protocol for predicting die pressure drop in polymer extrusion.
  • To eliminate the need for independent laboratory rheometry in the die design process.
  • To accelerate the early-stage design of extrusion dies for complex operational geometries.

Main Methods:

  • A data-driven protocol was developed to back-calculate lumped, effective Power Law parameters from macroscopic pressure drops of existing converging dies.
  • This approach integrates material and geometric flow characteristics under actual processing conditions.
  • An iterative refinement strategy was employed to enhance prediction accuracy.

Main Results:

  • The novel protocol successfully predicts die pressure drop without requiring independent laboratory rheometry.
  • The method embeds both material and geometric flow characteristics directly from processing data.
  • Experimental validation showed prediction errors typically within 10%.

Conclusions:

  • The developed computational tool provides a lightweight framework for engineers.
  • This accelerates the rapid-iteration of extrusion die designs.
  • The protocol significantly reduces development time and bottlenecks in plastic pipe manufacturing.