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Configuration Optimisation of Laser Tracker Location on Verification Process.

Sergio Aguado1, Pablo Pérez1, José Antonio Albajez1

  • 1Design and Manufacturing Engineering Department, Universidad de Zaragoza, María Luna 3, 50018 Zaragoza, Spain.

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Summary
This summary is machine-generated.

Optimizing machine tool verification involves minimizing random errors from laser tracker measurement noise. This study developed an algorithm using the Monte Carlo method to find the best equipment location, improving verification accuracy.

Keywords:
Monte Carlo methodlaser trackermachine tooluncertaintyverification

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Area of Science:

  • Metrology and Measurement Science
  • Manufacturing Engineering
  • Mechanical Engineering

Background:

  • Machine tool accuracy is critical and requires periodic verification and compensation.
  • Quasi-static and geometric errors are systematic and compensable, but random uncertainties like laser tracker noise affect verification results.
  • The location of laser tracker equipment is a significant, often overlooked, source of random error in machine tool verification.

Purpose of the Study:

  • To develop an algorithm for analyzing the influence of laser tracker location on machine tool verification accuracy.
  • To identify an optimal zone for laser tracker placement to minimize measurement noise and improve verification results.
  • To investigate the impact of various parameters, including test number, point distribution, and equipment specifications, on error reduction.

Main Methods:

  • Nonlinear optimization techniques were employed to analyze laser tracker influence.
  • The Monte Carlo method was utilized to simulate and assess different equipment locations.
  • Analysis incorporated laser tracker specifications and machine tool characteristics.

Main Results:

  • The study identified a specific zone around the machine tool for optimal laser tracker placement.
  • The algorithm quantifies the error reduction achievable by selecting an appropriate measurement system location.
  • The influence of parameters like the number of tests and point distribution on location-induced error was analyzed.

Conclusions:

  • Strategic placement of laser tracker equipment is crucial for reducing random errors in machine tool verification.
  • The developed algorithm provides a data-driven approach to optimize measurement system positioning for enhanced accuracy.
  • Considering laser tracker location and its associated uncertainties leads to more reliable machine tool verification outcomes.