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

Cable: Problem Solving01:29

Cable: Problem Solving

295
When dealing with a cable that is fixed to two supports and subjected to uniform loading, it is crucial to determine the maximum tension in the cable. This process can be broken down into several key steps, as outlined below:
295
Frames: Problem Solving I01:24

Frames: Problem Solving I

372
Consider a jib crane with an external load suspended from the pulley. The dimensions of the crane members are shown in the figure. A systematic analysis of the frame structure is required to determine the reaction forces at the pin joints, assuming that the pulleys are frictionless.
372
Machines: Problem Solving II01:30

Machines: Problem Solving II

268
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
268
Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

248
An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the...
248
Bearings: Problem Solving01:24

Bearings: Problem Solving

258
Understanding the calculations and concepts related to double-collar bearings is essential for engineers and designers to optimize the performance of these components in various applications. By analyzing the bearing under different conditions, one can ensure that it can withstand the forces and moments experienced during operation. This knowledge enables better decision-making when designing and selecting bearings for specific purposes and configurations. Consider a double-collar bearing with...
258
Stress Concentrations in Circular Shafts01:18

Stress Concentrations in Circular Shafts

150
Consider the elastic torsion formula, which applies to a circular shaft with a consistent cross-section. This formula assumes that the shaft's ends are loaded with rigid plates firmly attached. However, in many cases, torques are applied to the shaft through mechanisms like flange couplings or gears, which are connected by keys inserted into keyways. This application method modifies the stress distribution near the point of torque application, causing it to deviate from the distributions...
150

You might also read

Related Articles

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

Sort by
Same author

A foundation generative model for breast ultrasound image analysis.

Nature biomedical engineering·2026
Same author

The neural time course of self-oriented pointing and labeling in visual processing.

Brain and language·2026
Same author

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study.

Cancer imaging : the official publication of the International Cancer Imaging Society·2025
Same author

Lubricating Grease Thickness Classification of Steel Wire Rope Surface Based on GEMR-MobileViT.

Sensors (Basel, Switzerland)·2025
Same author

Brain-guided convolutional neural networks reveal task-specific representations in scene processing.

Scientific reports·2025
Same author

A Multi-Strategy Hybrid Sparse Reconstruction Method Based on Spatial-Temporal Sparse Wave Number Analysis for Enhancing Pipe Ultrasonic-Guided Wave Anomaly Imaging.

Sensors (Basel, Switzerland)·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 14, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

9.9K

Multi-Objective Optimization Method for High-Efficiency and Low-Consumption Wire Rope Greasing Process.

Fan Zhou1,2, Yuemin Wang1, Ruqing Gong1

  • 1College of Power Engineering, Naval University of Engineering, Wuhan 430030, China.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized wire rope greasing method to enhance maintenance efficiency and reduce grease consumption. The new approach balances greasing speed, thickness, and time for improved protection against corrosion and wear.

Keywords:
constraintsobjective functionoptimization parameterswire rope greasing

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation
07:49

Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

Published on: August 2, 2016

8.7K

Related Experiment Videos

Last Updated: May 14, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

9.9K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation
07:49

Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

Published on: August 2, 2016

8.7K

Area of Science:

  • Industrial Engineering
  • Mechanical Engineering
  • Materials Science

Background:

  • Wire rope greasing is critical for preventing corrosion and wear.
  • Current greasing methods often suffer from low efficiency and excessive lubricant use.

Purpose of the Study:

  • To develop a high-efficiency, low-consumption optimization control method for wire rope greasing.
  • To minimize both greasing process time and lubricant consumption.

Main Methods:

  • Established time and grease consumption objective functions.
  • Developed a multi-objective optimization model considering greasing speed, thickness, flow rate, and time.
  • Transformed the model into a single-objective problem using weight coefficients.
  • Solved the optimization problem with an improved genetic algorithm.

Main Results:

  • Validated the optimization model's effectiveness through a case study.
  • Conducted a sensitivity analysis on weight coefficients.
  • Demonstrated the model's capability to achieve high efficiency and low consumption.

Conclusions:

  • The proposed optimization method offers valuable support for planning and improving wire rope greasing processes.
  • This research contributes to more sustainable and effective industrial maintenance practices.