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Related Experiment Video

Updated: Jan 22, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Study on Machine Tool Positioning Uncertainty Due to Volumetric Verification.

Sergio Aguado1, Pablo Pérez2, José Antonio Albajez3

  • 1Centro Universitario de la Defensa, Academia General Militar, Ctra. Huesca S/N, 50090, Zaragoza, Spain. saguadoj@unizar.es.

Sensors (Basel, Switzerland)
|June 29, 2019
PubMed
Summary

This study enhances machine tool (MT) kinematic models by incorporating verification uncertainty sources. Understanding this uncertainty is crucial for using MTs as traceable measurement systems in manufacturing.

Keywords:
Monte Carlo methodcalibrationmachine tool uncertaintymeasurement in processtraceability

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Area of Science:

  • Metrology and Manufacturing Engineering
  • Uncertainty Quantification in Engineering

Background:

  • Volumetric verification relies on machine tool (MT) kinematic models and geometric error assessment.
  • The uncertainty associated with verification is often overlooked, despite the increasing use of MTs as traceable measurement systems.

Purpose of the Study:

  • To improve the MT kinematic model by integrating the influence of various verification uncertainty sources.
  • To enhance the accuracy of MT uncertainty estimation for traceable metrology applications.

Main Methods:

  • Classification of uncertainty sources into four categories: MT, measurement system, measurement strategy, and optimization strategy.
  • Development of a non-linear MT kinematic model incorporating these uncertainty influences.
  • Application of the Monte Carlo method for synthetic tests to quantify measurement system influence on verification uncertainty.

Main Results:

  • An improved MT kinematic model that accounts for verification uncertainty sources.
  • Quantification of the measurement system's impact on verification uncertainty using synthetic tests.
  • Demonstration that MT accuracy should not exceed laser tracker (LT) verification influence when used as a traceable system.

Conclusions:

  • Incorporating verification uncertainty sources leads to a more accurate MT kinematic model.
  • The Monte Carlo method effectively quantifies the influence of the measurement system on verification uncertainty.
  • Accurate assessment of LT influence is critical for reliable MT traceability in manufacturing.