Analysis of Movement Accuracy and Precision Using IMU Data

Accurate movement measurement is essential in precision manufacturing to ensure high-quality production. This study presents an IMU-based system for evaluating movement accuracy and precision in CNC-based electrochemical machining. The system employs an IMU sensor attached to the moving electrode to measure displacement along the X and Y axes, verifying whether the commanded travel distance (e.g., 1 mm) matches the actual movement. Unlike traditional monitoring methods that rely on indirect sensor-based measurements requiring mechanical error compensation, this approach directly analyzes movement accuracy using real-time IMU data. To achieve this, displacement data from the IMU is collected and processed in MATLAB, where filtering and noise reduction techniques enhance measurement reliability. Experimental validation demonstrates the system’s ability to detect small-scale motion deviations, offering a quantitative assessment of movement errors. The proposed method provides a practical solution for real-time displacement verification in high-precision machining, contributing to improved process efficiency and quality control.

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Publication Details

Journal
Journal of The Korean Society of Manufacturing Technology Engineers
Published
2025-04-15
DOI
https://doi.org/10.7735/ksmte.2025.34.2.81
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
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article

Analysis of Movement Accuracy and Precision Using IMU Data

Shih‐Fu Chang, Junyoung Kim, Eun-Sang Lee
Journal of The Korean Society of Manufacturing Technology Engineers
Scientific Measurement and Uncertainty Evaluation
article

Analysis of Movement Accuracy and Precision Using IMU Data

Shih‐Fu Chang, Junyoung Kim, Eun-Sang Lee
article en

Abstract

Accurate movement measurement is essential in precision manufacturing to ensure high-quality production. This study presents an IMU-based system for evaluating movement accuracy and precision in CNC-based electrochemical machining. The system employs an IMU sensor attached to the moving electrode to measure displacement along the X and Y axes, verifying whether the commanded travel distance (e.g., 1 mm) matches the actual movement. Unlike traditional monitoring methods that rely on indirect sensor-based measurements requiring mechanical error compensation, this approach directly analyzes movement accuracy using real-time IMU data. To achieve this, displacement data from the IMU is collected and processed in MATLAB, where filtering and noise reduction techniques enhance measurement reliability. Experimental validation demonstrates the system’s ability to detect small-scale motion deviations, offering a quantitative assessment of movement errors. The proposed method provides a practical solution for real-time displacement verification in high-precision machining, contributing to improved process efficiency and quality control.

Journal of The Korean Society of Manufacturing Technology EngineersVol. 34(2)
Openalex Percentile: Top 91%
Scientific Measurement and Uncertainty Evaluation
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