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Related Concept Videos

Design of Transmission Shafts01:16

Design of Transmission Shafts

507
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...
507
Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

315
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...
315
Deformation in a Circular Shaft01:10

Deformation in a Circular Shaft

489
One of the distinctive characteristics of circular shafts is their ability to maintain their cross-sectional integrity under torsion. In other words, each cross-section continues to exist as a flat, unaltered entity, simply rotating like a solid, rigid slab. To understand the distribution of shearing stress within such a shaft, consider a cylindrical section inside this circular shaft. This section has a length of L and a radius of R, with one end fixed. The radius of the cylindrical section is...
489
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

910
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...
910
Bearings: Problem Solving01:24

Bearings: Problem Solving

345
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...
345
Design of Transmission Shafts - Stress Analysis01:15

Design of Transmission Shafts - Stress Analysis

525
Designing a transmission shaft requires a thorough understanding of the stresses induced by bending moments and torques, especially in systems where power is transferred through gears. These forces create force-couple systems at the centers of the shaft's cross-sections, leading to both transverse and torsional loading. Although shearing stresses from transverse loads are typically smaller than those from torques and are often overlooked, the significant normal stresses from these loads...
525

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Related Experiment Video

Updated: Oct 8, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Detecting Teeth Defects on Automotive Gears Using Deep Learning.

Abdelrahman Allam1, Medhat Moussa1, Cole Tarry1

  • 1School of Engineering, University of Guelph, Guelph, ON N1G 1W2, Canada.

Sensors (Basel, Switzerland)
|December 28, 2021
PubMed
Summary

Automated machine vision systems can now detect gear defects, improving automotive manufacturing quality. This technology reduces manual inspection by 66%, ensuring more reliable vehicle transmissions.

Keywords:
automated inspectionautomotive gears inspectiongear defect detectionmachine vision inspection

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Area of Science:

  • Mechanical Engineering
  • Computer Vision
  • Artificial Intelligence

Background:

  • Gears are critical in automotive transmissions, but defects can cause catastrophic failures.
  • Current manual visual inspection is time-consuming, prone to errors, and lacks scalability.
  • Defective gears pose significant risks in challenging automotive environments.

Purpose of the Study:

  • To develop an automated machine vision system for detecting damaged teeth defects in automotive gears.
  • To enhance the efficiency and reliability of the gear inspection process.
  • To reduce the reliance on manual inspection and improve scalability.

Main Methods:

  • Implementation of a machine vision system utilizing a faster R-CNN network.
  • Integration of domain knowledge to optimize defect identification.
  • Application of the system in an automotive gear manufacturing setting in Guelph, Ontario.

Main Results:

  • The machine vision system successfully identifies damaged teeth defects in gears.
  • Manual inspection of non-defective gears was reduced by 66%.
  • Improved scalability and accuracy in the gear inspection process.

Conclusions:

  • Automated machine vision offers a scalable and effective solution for gear defect detection.
  • The faster R-CNN network combined with domain knowledge significantly enhances inspection efficiency.
  • This technology improves the integrity and reliability of automotive gears.