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Related Concept Videos

Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

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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.
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Deformation in a Circular Shaft01:10

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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...
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Thin-Walled Hollow Shafts01:15

Thin-Walled Hollow Shafts

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In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution...
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Plastic Deformation in Circular Shafts01:20

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When materials are subjected to forces that surpass their yield strength, they undergo a process known as plastic deformation. This results in a permanent alteration or strain in their structure. This concept can be specifically applied to circular shafts, where the deformation leads to a change in its shape. The precise evaluation of this plastic deformation requires understanding the stress distribution within the circular shaft, which is achieved by calculating the maximum shearing stress in...
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In materials that exhibit elastic and plastic behavior, known as elastoplastic materials, residual stresses can accumulate when these materials experience plastic deformation. This deformation arises from either high levels of shearing stress or significant strains. Residual stresses are internal stresses that persist within a material after removing the external force causing deformation. This phenomenon is demonstrated when observing the behavior of a shaft under torque; notably, the...
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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...
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Tool-Condition Diagnosis Model with Shock-Sharpening Algorithm for Drilling Process.

Byeonghui Park1, Yoonjae Lee1, Myeonghwan Yeo1

  • 1Department of Mechanical Design and Production Engineering, Konkuk University, Seoul 05030, Korea.

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Summary

This study introduces a new algorithm for fault diagnosis systems that enhances feature variables by considering cutting conditions. This method significantly reduces computation time and improves diagnostic accuracy in manufacturing processes.

Keywords:
fault diagnosis systemfeature variablekurtosismanufacturingoverestimation methodsharpening algorithmsupport vector machinetool condition

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Area of Science:

  • Manufacturing Engineering
  • Signal Processing
  • Machine Learning

Background:

  • Existing fault diagnosis systems rely on feature variables tied to specific model classifications, limiting their adaptability.
  • This constraint hinders the application of these systems across diverse manufacturing conditions and models.

Purpose of the Study:

  • To propose a novel algorithm for improving feature variable characteristics in fault diagnosis systems.
  • To enhance the adaptability and accuracy of fault diagnosis by considering cutting conditions.

Main Methods:

  • Implemented an oversampling method to reduce noise across all frequency bands.
  • Defined window length based on cutter sampling frequency to improve shock signal sensitivity.
  • Developed and validated a new algorithm for feature variable enhancement.

Main Results:

  • Achieved high diagnosis accuracies of 97.1% for AI7075 and 95.6% for SM45C using normal and worn tools.
  • Reduced model development time by 85% for AI7075 and 83% for SM45C.
  • Demonstrated significant reduction in computation time and enhanced feature variable characteristics.

Conclusions:

  • The proposed algorithm effectively enhances feature variables, leading to reduced computation time and high-accuracy fault diagnosis models.
  • This approach offers a robust solution for establishing high-precision monitoring systems in various processing applications.
  • The findings support the broader applicability of fault diagnosis systems under different manufacturing conditions.