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

Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

324
Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
Next, use bending moment diagrams for the shaft to...
324
Design Example: Deciding Thickness of Lubricating Fluid in a Shaft01:23

Design Example: Deciding Thickness of Lubricating Fluid in a Shaft

180
Effective lubrication between a rotating shaft and its bearing housing is essential in rotating machinery to minimize friction, wear, and energy loss. With carefully controlled thickness and viscosity, the lubricant layer prevents metal-to-metal contact, ensuring smooth operation.
To calculate the required thickness of the lubricant layer, the tangential velocity at the shaft's surface must first be determined. This velocity is calculated by converting the rotational speed to angular...
180
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

200
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
200
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

920
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...
920
Design of Transmission Shafts01:16

Design of Transmission Shafts

513
The design of a transmission shaft is governed by two primary specifications: the power it transmits and its rotational speed. These parameters guide the selection of the shaft's material and cross-sectional dimensions, ensuring that the material's maximum shearing stress remains within the elastic limit while transmitting the desired power at the given speed. The system's power is intrinsically linked to the applied torque. The torque applied to the shaft can be calculated by...
513
Internal Combustion Engine01:20

Internal Combustion Engine

1.9K
The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Dual regulation of NFS1 by TRIM67-mediated degradation and CEBPA-driven transcription modulates colorectal cancer progression.

Cellular signalling·2026
Same author

Development and validation of a risk prediction model for prostate cancer integrating quantitative MRI and clinical data.

Frontiers in oncology·2026
Same author

Correlation-based LiDAR wind sensing using SiPM: methodology and indoor validation.

Applied optics·2026
Same author

Designing an Osmium(II) Complex to Inhibit the Growth and Recurrence of Tumors by Integrating Photodynamic Therapy, Chemotherapy, and Immunotherapy.

Journal of medicinal chemistry·2026
Same author

Developing a Multitargeted Anticancer Bi-Copper(II)-Centered Thiocarbohydrazone Agent Based on Lys-199 and His-242 Residues in the IIA Subdomain of Human Serum Albumin.

Journal of medicinal chemistry·2026
Same author

Developing a Vanadium(IV) Complex for Targeted Inhibition of Growth and Metastasis of Tumors by Multiacting on Cancer Cells and Dual Activating Immune System.

Journal of medicinal chemistry·2026

Related Experiment Video

Updated: Oct 14, 2025

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches
10:58

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches

Published on: July 22, 2025

276

Reliability optimization of process parameters for marine diesel engine block hole system machining using improved

Honggen Zhou1, Weibin Yang1, Li Sun2

  • 1School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212000, China.

Scientific Reports
|November 10, 2021
PubMed
Summary

This study optimizes marine diesel engine block machining by establishing a reliability model for cylinder hole processing. An improved particle swarm algorithm finds optimal parameters to enhance accuracy and performance.

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K
Modeling and Experimental Analysis of the Single-Shaft Coaxial Motor-Pump Assembly in Electrohydrostatic Actuators
08:59

Modeling and Experimental Analysis of the Single-Shaft Coaxial Motor-Pump Assembly in Electrohydrostatic Actuators

Published on: June 13, 2022

2.7K

Related Experiment Videos

Last Updated: Oct 14, 2025

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches
10:58

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches

Published on: July 22, 2025

276
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K
Modeling and Experimental Analysis of the Single-Shaft Coaxial Motor-Pump Assembly in Electrohydrostatic Actuators
08:59

Modeling and Experimental Analysis of the Single-Shaft Coaxial Motor-Pump Assembly in Electrohydrostatic Actuators

Published on: June 13, 2022

2.7K

Area of Science:

  • Mechanical Engineering
  • Manufacturing Processes

Background:

  • Marine diesel engine block quality is critical for performance.
  • Machining accuracy depends on optimal process parameters.
  • Parameter fluctuations reduce reliability and accuracy.

Purpose of the Study:

  • To establish a reliability optimization model for cylinder hole processing parameters.
  • To determine the optimal combination of process parameters for improved accuracy.
  • To enhance the working performance of marine diesel engine blocks.

Main Methods:

  • Radial Basis Function (RBF) method to model cylinder hole verticality against process parameters (cutting speed, depth of cut, feed rate).
  • Monte Carlo simulation to set process reliability constraints.
  • Development of an improved particle swarm algorithm for model optimization.

Main Results:

  • A reliability optimization model for cylinder hole processing parameters was established.
  • The improved particle swarm algorithm successfully solved the model.
  • The global optimal combination of process parameters was obtained within a stable region.

Conclusions:

  • Optimized process parameters significantly improve cylinder hole accuracy and reliability.
  • The developed model and algorithm offer a robust approach for enhancing diesel engine block manufacturing.
  • Achieving optimal parameters is crucial for ensuring the working performance of marine diesel engines.