Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Typical Model Studies

Typical Model Studies

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.

Design Example: Creating a Hydraulic Model of a Dam Spillway

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.

Abrasion Resistance of Concrete

Abrasion Resistance of Concrete

Abrasion resistance is an essential characteristic of concrete that determines its durability and longevity under various wear conditions. Concrete surfaces are vulnerable to different types of abrasion. For instance, surfaces may wear down due to the constant movement of vehicles or be eroded by solids carried in water, as seen in concrete canal linings. Specific tests are conducted to measure the abrasion resistance of concrete.
One such test is the revolving disc test, where three plates...

Journal Bearings

Journal Bearings

Journal bearings are mechanical components that support and provide lateral stability to rotating shafts and axles. They are crucial in reducing friction, wear, and vibration in machinery such as engines, turbines, and pumps. The principle behind journal bearings is forming a thin lubricant film between the bearing surface and the rotating shaft, which minimizes direct contact and reduces frictional forces.
To better understand the concept of journal bearings, consider a rope winch with dry or...

Equation of Motion: General Plane motion - Problem Solving

Equation of Motion: General Plane motion - Problem Solving

Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...

Screw: Problem Solving

Screw: Problem Solving

In mechanical engineering, the interaction between a threaded screw shaft and a plate gear involves analyzing the resisting torque on the plate gear that can be overpowered when a specific torsional moment is applied to the shaft. To better comprehend this concept, consider a generic situation with a threaded screw shaft with a given mean radius and lead and a plate gear with a specified mean radius. The coefficient of static friction between the screw and gear is also provided.
To evaluate the...

You might also read

Related Articles

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

Sort by

Same author

Space-time resolved approach for interacting quantum field theories.

Physical review letters·2011

Same author

Coupling efficiency of optics in single-mode fiber components.

Applied optics·2010

Same author

Interference effects in optical fiber connections.

Applied optics·2010

Same author

Electrically controlled optical switch for multimode fiber applications.

Applied optics·2010

Same author

Postprocessing of imagery from active optics: some pitfalls.

Applied optics·2010

Same author

Fabrication of aspherics using a mathematical model for material removal.

Applied optics·2010

Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026

Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026

Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026

Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026

Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026

Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

Reliable Mechanochemistry: Protocols for Reproducible Outcomes of Neat and Liquid Assisted Ball-mill Grinding Experiments

Reliable Mechanochemistry: Protocols for Reproducible Outcomes of Neat and Liquid Assisted Ball-mill Grinding Experiments

Published on: January 23, 2018

Physical model for predicting grinding rates.

G E Wiese, R E Wagner

|February 6, 2010

Summary

This summary is machine-generated.

This study presents a new model for optical surface grinding, predicting material removal based on material properties rather than solely on experimental data. The model establishes a linear relationship between removal rate, pressure, and velocity.

More Related Videos

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

Published on: November 21, 2017

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Related Experiment Videos

Last Updated: Jun 16, 2026

Reliable Mechanochemistry: Protocols for Reproducible Outcomes of Neat and Liquid Assisted Ball-mill Grinding Experiments

Reliable Mechanochemistry: Protocols for Reproducible Outcomes of Neat and Liquid Assisted Ball-mill Grinding Experiments

Published on: January 23, 2018

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

Published on: November 21, 2017

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Area of Science:

Materials Science
Mechanical Engineering
Optical Engineering

Background:

Material removal rate in optical surface grinding is crucial for precision manufacturing.
Current models often rely heavily on experimental data to determine material-specific constants.
Predicting material removal accurately is essential for process optimization and cost reduction.

Purpose of the Study:

To develop a physically-based model for optical surface grinding.
To predict the material removal rate using material properties alone.
To establish a theoretical basis for the linear dependence of material removal on pressure and velocity.

Main Methods:

Postulating a physical description of the grinding process.
Statistically determining the proportionality constant based on abrasive particle size and material's breaking stress.
Incorporating the combined effects of multiple abrasive particles.

Main Results:

A linear relationship between material removal rate, pressure, and velocity was derived.
The proportionality constant can be determined from material properties (abrasive size, breaking stress).
The model's predictions are consistent with experimental observations.

Conclusions:

The developed model offers a theoretical approach to predicting material removal in optical grinding.
This method reduces reliance on extensive experimental data for determining process constants.
The findings have implications for optimizing grinding processes and material selection.