Application of A Newly Developed Thermally Induced Volumetric Error Compensation Model in Improving Dimensional Accuracy of Parts
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The thermally induced volumetric error of a machine tool has been recognised as a major contributor to the dimensional and geometric errors of component parts produced by that tool. Therefore, considerable research has focused on ways to compensate for this type of error. The traditional model of compensation for the thermally induced volumetric error of a three-axis machine tool requires the measurement of 21 geometric error components and their variations with temperature, which is difficult and time-consuming to conduct. In our previous research, we developed a simplified and economical method of compensation of thermally induced volumetric error by modeling the positioning error as functions of ball-screw nut temperature and travel distance. This paper describes the application of this newly developed compensation model in improving the dimensional accuracy of parts. The model was applied to reduce the positioning error of a number of drilled holes. The results showed an average reduction of absolute and relative errors by 30.44 µm and 77%, respectively.
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An investigation into the effects of thermal errors of a machine tool on the dimensional accuracy of partsLu, Yuxia (2012)The reduction of machining errors has become increasingly important in modern manufacturing in order to obtain the required quality of parts. Geometric error makes up the basic part of the inaccuracy of the machine tool ...
Lu, Yuxia; Islam, Mohammad Nazrul (2011)The thermally-induced volumetric error of a machine tool has been recognised as a major contributor to dimensional and geometric errors of component parts produced on it. Consequently, considerable research has focused ...
Lu, Yuxia; Islam, Mohammad Nazrul (2011)A traditional model for thermally induced volumetric error of a three-axis machine tool requires measurement of 21 geometric error components and their variation data at different temperatures. Collecting these data is ...