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Related Concept Videos

Leveling Equipment01:18

Leveling Equipment

471
As leveling involves measuring vertical distances relative to a horizontal line of sight, it requires a graduated rod, called a level rod, for vertical measurements and an instrument called a level for a horizontal sight line. A level includes a high-powered telescope with a mechanism for leveling to ensure the line of sight is horizontal when the bubble in the spirit level is centered. Leveling rods, made of wood, metal, or fiberglass, are graduated in feet or meters and commonly used in two-...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
802

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A Sensor-Based Method for Diagnostics of Machine Tool Linear Axes.

Gregory W Vogl1, Brian A Weiss1, M Alkan Donmez1

  • 1National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 20899, USA.

Proceedings of the Annual Conference of the Prognostics and Health Management Society. Prognostics and Health Management Society. Conference
|July 11, 2017
PubMed
Summary
This summary is machine-generated.

Manufacturers can now efficiently detect machine tool linear axis degradation using a new sensor-based method. This automated approach minimizes production disruptions and improves part quality through timely diagnostics and prognostics.

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Area of Science:

  • Manufacturing Engineering
  • Mechanical Systems Diagnostics
  • Prognostics and Health Management

Background:

  • Machine tool linear axes are critical for manufacturing operations and require continuous monitoring.
  • Current methods for detecting linear axis degradation are manual, time-consuming, and disrupt production.
  • Automated and efficient diagnostic methods are needed to maintain machine tool condition and ensure part quality.

Purpose of the Study:

  • To develop an automated, sensor-based method for quickly estimating the performance degradation of machine tool linear axes.
  • To provide manufacturers with efficient diagnostic and prognostic capabilities without interrupting production.
  • To enhance the optimization of maintenance schedules, production planning, and final part quality.

Main Methods:

  • A multi-sensor 'sensor box' equipped with inclinometers, accelerometers, and rate gyroscopes was developed.
  • Data collected from the sensor box is used to identify changes in linear and angular errors.
  • Numerical simulations were conducted using sensor bandwidth and noise specifications to validate the method.

Main Results:

  • The sensor-based method can quickly estimate linear axis performance degradation.
  • Changes in straightness and angular errors can be determined with acceptable test uncertainty ratios.
  • Simulations indicate the cost-effectiveness of the sensors through potential savings in production losses and scrapped parts.

Conclusions:

  • The developed sensor-based method offers an efficient and automated solution for diagnosing linear axis degradation in machine tools.
  • Periodic data collection from the sensor box enables effective diagnostics and prognostics for optimized maintenance and production.
  • Implementing this technology can lead to improved machine tool reliability, reduced downtime, and enhanced overall part quality.