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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.
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.
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.

