For monitoring the quality of manufactured components, reliable and precise measurements are critical. These measurements inform decisions regarding compliance with predefined tolerances and adjustments to manufacturing process parameters. In a production environment, a shopfloor metrology-compatible Coordinate Measuring Machine (CMM) is essential for providing quick feedback and is economically viable. Therefore, CMMs must deliver precise measurements across a wider temperature range and withstand higher temperature gradients. This paper presents a novel feedforward thermal correction technique designed to enhance the measurement accuracy of CMMs in dynamic production environments. The approach emphasizes seamless implementation and robustness throughout the entire lifecycle of the CMM, ensuring consistent performance despite environmental variations and wear over time. A key focus is on robust real-time data collection from temperature sensors and the implementation of a temperature correction algorithm. This advancement not only improves quality control but also extends the operational longevity and reliability of CMMs in manufacturing settings.

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Enhancing Thermal Precision of Coordinate Measuring Machine (CMM) Through Implementation of Temperature Correction for Shopfloor Metrology

  • Gaurav Abhay Kulkarni,
  • Rajeev Rajampeta,
  • Steffen Strauss,
  • Malte Langmack

摘要

For monitoring the quality of manufactured components, reliable and precise measurements are critical. These measurements inform decisions regarding compliance with predefined tolerances and adjustments to manufacturing process parameters. In a production environment, a shopfloor metrology-compatible Coordinate Measuring Machine (CMM) is essential for providing quick feedback and is economically viable. Therefore, CMMs must deliver precise measurements across a wider temperature range and withstand higher temperature gradients. This paper presents a novel feedforward thermal correction technique designed to enhance the measurement accuracy of CMMs in dynamic production environments. The approach emphasizes seamless implementation and robustness throughout the entire lifecycle of the CMM, ensuring consistent performance despite environmental variations and wear over time. A key focus is on robust real-time data collection from temperature sensors and the implementation of a temperature correction algorithm. This advancement not only improves quality control but also extends the operational longevity and reliability of CMMs in manufacturing settings.