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

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.3K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.3K
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

789
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
789
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

611
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
611
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

59.0K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
59.0K
Plasticity00:58

Plasticity

3.1K
Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
3.1K
Plasticizers01:31

Plasticizers

374
Water-reducers, or plasticizers, are chemical admixtures used in concrete to improve strength and workability. These additives reduce the water-cement ratio without compromising workability, lower the cement content while maintaining the same workability, or increase workability to assist concrete placement in inaccessible areas.
Plasticizers function by using surface-active agents to create repulsive electrostatic forces between cement particles. This dispersion enhances the concrete's...
374

You might also read

Related Articles

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

Sort by
Same author

Correction to "Strategy for Fabricating Multiple-Shape Memory Polymeric Materials Based on Solid State Mixing".

ACS macro letters·2025
Same author

Strategy for Fabricating Multiple-Shape Memory Polymeric Materials Based on Solid State Mixing.

ACS macro letters·2025
Same author

A Polymer-Based Metallurgical Route to Produce Aluminum Metal-Matrix Composite with High Strength and Ductility.

Materials (Basel, Switzerland)·2024
Same author

Compression Behavior and Textures of Ti57-Nb43 Alloy at High Temperatures.

Materials (Basel, Switzerland)·2023
Same author

Gripping Prospective of Non-Shear Flows under High-Pressure Torsion.

Materials (Basel, Switzerland)·2023
Same author

Structure Refinement and Fragmentation of Precipitates under Severe Plastic Deformation: A Review.

Materials (Basel, Switzerland)·2022

Related Experiment Video

Updated: Feb 7, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Mechanical Modelling of the Plastic Flow Machining Process.

Viet Q Vu1,2, Yan Beygelzimer3,4, Roman Kulagin5

  • 1Université de Lorraine, CNRS, Arts et Métiers ParisTech, LEM3, F-57073 Metz, France. vqviet@tnut.edu.vn.

Materials (Basel, Switzerland)
|July 18, 2018
PubMed
Summary

Plastic flow machining (PFM) creates ultrafine, gradient sheet materials. Applying back-pressure and widening the lateral channel significantly improves the PFM process efficiency.

Keywords:
Finite Element (FE) simulationanalytical modellingback pressurelateral extrusion ratioplastic flow machining

More Related Videos

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.4K
Forming Micro-and Nano-Plastics from Agricultural Plastic Films for Employment in Fundamental Research Studies
08:21

Forming Micro-and Nano-Plastics from Agricultural Plastic Films for Employment in Fundamental Research Studies

Published on: July 27, 2022

4.9K

Related Experiment Videos

Last Updated: Feb 7, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.4K
Forming Micro-and Nano-Plastics from Agricultural Plastic Films for Employment in Fundamental Research Studies
08:21

Forming Micro-and Nano-Plastics from Agricultural Plastic Films for Employment in Fundamental Research Studies

Published on: July 27, 2022

4.9K

Area of Science:

  • Materials Science
  • Manufacturing Engineering

Background:

  • Severe plastic deformation (SPD) processes are crucial for producing advanced materials.
  • Plastic flow machining (PFM) is a novel SPD technique for creating sheet materials with ultrafine and gradient microstructures.

Purpose of the Study:

  • To analytically model and simulate the PFM process for a deeper understanding.
  • To investigate the influence of back-pressure and lateral channel width on PFM efficiency.

Main Methods:

  • PFM experiments were conducted on commercially pure aluminum billets.
  • Finite element simulations using DEFORM-2D/3D were performed.
  • Two analytical models were developed: one based on variational principles and another using an upper-bound approach.

Main Results:

  • The lateral extrusion ratio, a measure of PFM efficiency, increased with back-pressure and wider lateral channels.
  • Experimental results showed higher efficiency when back-pressure was applied.
  • Analytical models and simulations successfully predicted experimental trends, including the strain gradient.

Conclusions:

  • PFM is an effective method for producing sheet materials with controlled microstructures.
  • Back-pressure and lateral channel geometry are key parameters for optimizing PFM efficiency.
  • The developed analytical and numerical models provide valuable tools for understanding and predicting PFM behavior.