A new strategy of real-time thermal error prediction for a machining center using RBF network
碩士 === 大葉大學 === 機械工程研究所碩士班 === 94 === ABSTRACT The major factors that affect the machining accuracy of CNC machine tools include geometric errors and structural thermal deformation during cutting. Although being successfully demonstrated in literatures, thermally-induced error compensation techniqu...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/34310623337997140805 |
| Summary: | 碩士 === 大葉大學 === 機械工程研究所碩士班 === 94 === ABSTRACT
The major factors that affect the machining accuracy of CNC machine tools include geometric errors and structural thermal deformation during cutting. Although being successfully demonstrated in literatures, thermally-induced error compensation techniques were not widely implemented in industries. Most of the error-predict models use temperatures as their mapping input. These mapping models are very sensitive to missing data and faulty signals. A wrong temperature reading can result in an incorrect prediction of thermal error.
This research proposes a new approach for predicting spindle thermal error of a machining center. A new on line measurement system using RENISHAW TS27R tool setting probe and a RBF network model that predicts the thermal error are developed. Instead of using temperature readings, the new model uses cutting conditions as the mapping inputs. As a result, the problems occurred in the traditional temperature-error mapping model can be avoided. The experimental results showed the proposed approach can predict the spindle thermal induced error correctly and cost-effectively.
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