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Gain Optimization for Cutting Tests on CNC Machine Using the Ballbar Method with CMM Machine Measurements

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Published:25 November 2020Publication History

ABSTRACT

Optimization is one of the main keys to the success of the optimization process in CNC machines in the industrial field and provides information gain optimization control to improve product quality. Some benefits that can be obtained from optimization are speed and accuracy in product design and production processes. In the production process, a test of the desired quality is carried out. The international ISO rules machine tools especially, CNC milling machines using International Standard ISO 10791--7: 2014 Test condition for machining centres - Part 7: Accuracy of finished test pieces rules have concentricity of external circle under 25 μm. This maintenance case, use the method by increasing or decreasing the gain adjustment on the CNC milling machine input panel. This work was adjusting to find gain optimization settings using two methods, namely the Ballbar and the CMM measurement, to diagnose the CNC milling machine. Ballbar measurement to analyze the results of servo mismatch and circularity without trimming load, while CMM measurement to measurement through products produced on Fanuc CNC milling machine, the result is a trend of graphic error resulting in circularity error results. The best results on "Loop Gain Parameter - System V" which have circularity results on the Ballbar and CMM of 20 μm and 13 μm, it has circularity values below 25 μm at International Standard ISO 10791--7: 2014 Test condition for machining centres - Part 7: Accuracy of finished test pieces as a rule on CNC machines in the adjustment loop gain parameter.

References

  1. S. Huang, T.W. Ching, W. Li, B. Deng, "Overview of Linear Motors for Transportation Applications," Proceedings of the IEEE, 27th International Symposium on Industrial Electronics (ISIE), 2018.Google ScholarGoogle Scholar
  2. A. Aiman, J. Nebojsa, "Modeling and Simulation of a Superconductive Linear Motor" Proceedings of the American Society of Mechanical Engineers, 2020.Google ScholarGoogle Scholar
  3. International Standard "ISO 10791--7 Test condition for machining centres -Part 7: Accuracy of finished test pieces", 2014.Google ScholarGoogle Scholar
  4. Afisha, Rifqi. "Implementation of Renishaw QC 20 W Ballbar Calibrator on Servo Mismatch for The Motion Axis X-Z on CNC Lathe". University of Al Azhar Indonesia:South Jakarta, 2018.Google ScholarGoogle Scholar
  5. GE FANUC Automation, "GFZ 65150e/03 Series AC Servo Motor", 1997.Google ScholarGoogle Scholar
  6. FANUC, "Alfa Series AC Servo Motor Parameter Manual. GFZ-65150E/03", 1997.Google ScholarGoogle Scholar
  7. GE FANUC Automation, "FANUC AC SERVO MOTOR αi series. B65262EN/06".Google ScholarGoogle Scholar
  8. J. O. Oludayo, "PID Control of Brushless DC Motor and Robot Trajectory Planning and Simulation with Matlab/Simulink", University of Applied Sciences, 2009.Google ScholarGoogle Scholar
  9. H. Zasvia, Wildian, "Making and Characterization of LVDT a Sensor Distance", University of Andalas, Padang, 2013.Google ScholarGoogle Scholar
  10. Nasril, A. Rianto, and T. Alhady, "Evaluasi Ketidak Seimbangan Respon Servo Mesin Perkakas CNC Dengan Metoda Ballbar", PKIM, 2018.Google ScholarGoogle Scholar
  11. RENISHAW. Datasheets Renishaw Ballbar Software.Google ScholarGoogle Scholar

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  1. Gain Optimization for Cutting Tests on CNC Machine Using the Ballbar Method with CMM Machine Measurements

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    • Published in

      cover image ACM Other conferences
      ICONETSI '20: Proceedings of the 2020 International Conference on Engineering and Information Technology for Sustainable Industry
      September 2020
      466 pages
      ISBN:9781450387712
      DOI:10.1145/3429789

      Copyright © 2020 ACM

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      Publication History

      • Published: 25 November 2020

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