Systematic part accuracy improvement in integrated machining systems by machine-part error mapping based on part measurement.

摘要

The enhancement of machine tool accuracy has a direct effect on part quality. The state-of-the-art technology to enhance machine tool accuracy is compensation based on the measurement of the machine tool error components. We defined this approach as “machine-oriented error reduction”, and to overcome problems such as slow error correction, complication to apply to integrated machining systems, and weak relevance with the accuracy of produced part, we proposed the concept of “part-oriented error reduction” in this study. This approach used machine-part error mapping model to systematically correlate the measurement result of the produced parts with culprit errors built-in machining systems.; A general method to develop this model has been suggested. For integrated machining systems consisting of several machine tools, we first identify the source of observed part errors from system-level mapping model. Secondly, the identified sources are quantitatively estimated from machine-level mapping model using test part, and compensated.; To verify the suggested method, a number of experiments have been performed using the hardware testbed at the ERC for Reconfigurable Machining Systems, the University of Michigan. The results show the effectiveness of the developed method, and the parts that were produced after the correction of the identified errors in the testbed showed significant improvement in accuracy.