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2003-2004 of 4327 Papers

STUDY ON THERMAL ERROR ELIMINATION FOR A BALL SCREW FEED DRIVE

Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): SANG PIL CHO , SEUNG YOON NOH , ZHE ZHU XU

Abstract: The traditional thermal error compensation system of ball screw feed drive is highly dependent on the feedback temperature or positioning data. Because of the overdependence to measuring technique, increasing of compensation system cost and decreasing of productivity level will be an inevitable trend in a machine tool. This paper presents a new approach in ball screw thermal error compensation system which can work without any temperature or positioning feedback. As the parts of the thermal error compensation system, component heat generation, compensation method, thermal model, mathematic model and calculation method were studied respectively. In order to discuss the correctness of the developed thermal error compensation system, a series of tests contains positioning accuracy and temperature distribution was carried out in the same working condition of prediction. As the results, the test data well confirmed the correctness of the developed ball screw thermal error compensation syste

  • Publication Date: 29-Dec-2015
  • DOI: 10.15224/978-1-63248-083-5-66
  • Views: 0
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ESTIMATING THE RELIABILITY AND UNCERTAINTY OF COORDINATE MEASURING MACHINES BY NUMERICAL METHOD

Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): SOMPOAP TALABGAEW

Abstract: This research develops an alternative approach for the prediction of uncertainty of multi axis machines, Coordinate Measuring Machine (CMM), by using geometric error information in each axis or repeatedly measured coordinates. It also introduces a procedure to calculate the probability of accepting a measured position within a specified range. The developed model has resulted in an improvement in the probability of accepting a measured position, compared to previously published models and results.

  • Publication Date: 29-Dec-2015
  • DOI: 10.15224/978-1-63248-083-5-67
  • Views: 0
  • Downloads: 0