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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Generic Feed-Rate Optimization Based on a Predicted Power Force Model
verfasst von : Firman Ridwan, Xun W. Xu, Guangyu Liu
Erschienen in: Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology
Verlag: Springer Berlin Heidelberg
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Inappropriate cutting force often causes tool failures, poor surface quality, and even machine breakdowns. It can be overcome by optimizing some cutting parameters, in particular, feed-rate. To optimize feed-rate, we propose a system which consists of three tasks: Optimization task, Process control task and Knowledge Based Evaluation (KBE) task. STEP-NC data model is used to perform the tasks. Given the nominal powers, the cutting force can be estimated based on the higher-level production information such as material work-piece properties, tool materials and geometries, and machine capabilities. The information together with the STEP-NC data model enables us to optimize the feed-rate via Optimization task, where EXPRESS language is used for constructing the data model. The actual feed-rate is attained by verifying the optimized feed-rate under actual cutting force condition based on the Process control task at shop-floor. Finally, the actual feed-rate is recorded and evaluated in the KBE task.