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Related Concept Videos

Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
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During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance. Over a...
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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
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Updated: Dec 26, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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Optimizing the Calibration Error of Refraction Angles in Ultrasonic Angle Beam Testing.

Zhihui Cai1,2, Zhangmin Jin2, Linyi Zhu1

  • 1Institute of Process Equipment & Control Engineering, Zhejiang University of Technology, Hangzhou 310032, China.

Sensors (Basel, Switzerland)
|March 11, 2020
PubMed
Summary

This study improves ultrasonic testing by reanalyzing ignored data to precisely calibrate probe refraction angles. This data fusion technique enhances the accuracy of measuring flaw heights in mechanical components.

Keywords:
data fusioninstrument calibrationoptimal weightsultrasonic angle beamultrasonic testingweighted measurement

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Area of Science:

  • Non-destructive testing
  • Mechanical engineering
  • Signal processing

Background:

  • Ultrasonic testing is crucial for quantifying flaws in mechanical components.
  • Accurate calibration of probe refraction angle is vital for precise flaw height measurement.
  • Traditional calibration methods may overlook valuable data, leading to errors.

Purpose of the Study:

  • To reduce calibration errors in ultrasonic angle beam testing.
  • To investigate the application of data fusion techniques for determining refraction angles.
  • To enhance the accuracy of flaw height measurements.

Main Methods:

  • Reanalysis and fusion of previously ignored calibration data.
  • Application and comparison of arithmetical and weighted measurement fusion methods.
  • Monte Carlo simulation for estimating refraction angle probability distribution and optimal weights.
  • Experimental verification of simulation results.

Main Results:

  • Data fusion of refraction angles significantly improves flaw height measurement accuracy.
  • Monte Carlo simulation effectively estimates optimal weights for data fusion.
  • Both arithmetical and weighted fusion methods demonstrate applicability.
  • Experimental validation confirms the benefits of data fusion.

Conclusions:

  • Data fusion of ignored calibration data is a viable method to reduce errors.
  • The enhanced refraction angle calibration improves the reliability of ultrasonic flaw detection.
  • This approach offers a more accurate quantification of flaws in mechanical components.