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

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

293
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
293
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

282
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
282

You might also read

Related Articles

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

Sort by
Same author

A transformer-based deep learning algorithm for diagnosing spinal infections on axial non-contrast computed tomography images: a dual-center retrospective study.

PeerJ·2026
Same author

Explainable machine learning identifies knee morphology thresholds for arthroscopic medial meniscus posterior root tear: a retrospective cohort study.

Frontiers in medicine·2026
Same author

Prevalence, associated factors, and outcomes of workplace violence against doctors in China: a systematic review and meta-analysis.

BMC public health·2026
Same author

A Dual-Activated Catalytic Hairpin Assembly Signal Amplification Nanoplatform for High-Sensitivity Detection of Dual-Target MicroRNAs.

ACS omega·2026
Same author

Synthesis and 3D Printing of Hierarchically Porous Polyaryletherketone Scaffolds with Enhanced Bacteriostasis for Bone Repair.

ACS biomaterials science & engineering·2026
Same author

Clinical efficacy of five-element music therapy in alleviating psychological distress among patients undergoing maintenance hemodialysis: a multicenter, non-inferiority, randomized controlled trial.

Frontiers in psychology·2026

Related Experiment Video

Updated: Jun 4, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Automatic Roll-Profile Positioning Detection System Based on Contact Sensor.

Jiali Zheng1,2, Huagui Huang1,2, Qiwei Hu1,2

  • 1College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary

A new portable roll-profile measuring device uses machine vision for automatic point reading and achieves 1 μm accuracy. Improved compensation algorithms enhance measurement precision, meeting industrial demands for intelligent roll maintenance.

Keywords:
contact sensordetectionerror analysismachine visionroll profile

More Related Videos

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
00:08

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.2K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.6K

Related Experiment Videos

Last Updated: Jun 4, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
00:08

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.2K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.6K

Area of Science:

  • Mechanical Engineering
  • Metrology
  • Industrial Instrumentation

Background:

  • Traditional saddle instruments for roll-profile measurement have limitations in automation and accuracy.
  • Accurate roll profile measurement is critical for industrial operations and maintenance.

Purpose of the Study:

  • To design and optimize a portable roll-profile measuring device with enhanced accuracy and automation.
  • To analyze installation errors and develop compensation methods for improved roll measurement.
  • To validate the device's performance in industrial settings.

Main Methods:

  • Development of a portable roll-profile measuring device based on a contact sensor and traditional saddle instrument.
  • Integration of a machine vision positioning module for automatic measurement point identification.
  • Analysis of installation-related errors and establishment of installation requirements.
  • Improvement of roll measurement compensation methods using roll profile data.

Main Results:

  • The device achieves a measurement accuracy of 1 μm.
  • On-site verification showed a flat roll measurement error of 0.02 mm.
  • Application of the compensation algorithm improved roll crown measurement accuracy by 69%.

Conclusions:

  • The developed portable roll-profile measuring device meets industrial measurement requirements.
  • The integration of machine vision and improved compensation algorithms significantly enhances measurement accuracy.
  • The device is highly significant for the intelligent operation and maintenance of industrial rolls.