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The Scientific World Journal
Volume 2014 (2014), Article ID 959510, 16 pages
http://dx.doi.org/10.1155/2014/959510
Research Article

Volumetric Verification of Multiaxis Machine Tool Using Laser Tracker

Department of Design and Manufacturing Engineering, University of Zaragoza, Marìa de Luna 3, 50018 Zaragoza, Spain

Received 8 January 2014; Accepted 19 March 2014; Published 19 June 2014

Academic Editor: Raffaele Di Gregorio

Copyright © 2014 Sergio Aguado et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Sergio Aguado, Jorge Santolaria, David Samper, and Juan José Aguilar, “Protocol for machine tool volumetric verification using commercial laser tracker,” The International Journal of Advanced Manufacturing Technology, 2014. View at Publisher · View at Google Scholar
  • S. Aguado, J. Santolaria, J. Aguilar, D. Samper, and J. Velazquez, “Improving the Accuracy of a Machine Tool with Three Linear Axes using a Laser Tracker as Measurement System,” Procedia Engineering, vol. 132, pp. 756–763, 2015. View at Publisher · View at Google Scholar
  • Sergio Aguado, Jorge Santolaria, David Samper, Juan J. Aguilar, and Jesús Velázquez, “Improving a real milling machine accuracy through an indirect measurement of its geometric errors,” Journal of Manufacturing Systems, vol. 40, pp. 26–36, 2016. View at Publisher · View at Google Scholar
  • Loubna Shamseddine, Rola Mortada, Khaldoun Rifai, and Jose Johann Chidiac, “Fit of pressed crowns fabricated from two CAD-CAM wax pattern process plans: A comparative in vitro study,” The Journal of Prosthetic Dentistry, 2016. View at Publisher · View at Google Scholar
  • Yunbo Bi, Yinglin Ke, and Dan Zhao, “An efficient error compensation method for coordinated CNC five-axis machine tools,” International Journal of Machine Tools and Manufacture, vol. 123, pp. 105–115, 2017. View at Publisher · View at Google Scholar
  • Wei Liu, Xin Ma, Xiao Li, Zhenyuan Jia, Hui Li, Hongyue Yan, and Jianwei Ma, “Binocular-vision-based error detection system and identification method for PIGEs of rotary axis in five-axis machine tool,” Precision Engineering, vol. 51, pp. 208–222, 2018. View at Publisher · View at Google Scholar