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PL
Operacje usuwania zadziorów są dość kosztowne, dlatego też znajomość tworzenia się zadziorów pozwala na uwypuklenie istotności tego zagadnienia w świetle ogólnie rozumianej obróbki skrawaniem. W artykule przedstawiony został? mechanizm formowania si´ zadziorów w procesie frezowania czołowego stopu AlSi10Mg. Zbadano również wpływ poszczególnych parametrów obróbki na wielkość powstających zadziorów.
EN
Since deburring is a costly and non-value-adding operation, the understanding and control of burr formation is a research topic with high relevance to industrial applications. The purpose of this paper was to study the burr formation mechanisms in face milling process of aluminum alloy AlSi10Mg, and to investigate the influence of machining parameters on burr formation in face milling.
2
Content available remote On burr height estimation based on axial drilling force
EN
Purpose: The main goal of the research is to build a model of relationship between burr height created during drilling operation and signal representing axial drilling force. Such a model can be applied in diagnostic system for on-line estimation of bur height. Design/methodology/approach: The first applied approach is based on a step by step procedure in which several statistical models were built. The second one is based on specific features of artificial intelligence methods. The artificial neural networks serve as a tool for data selection and integration while the fuzzy logic systems are applied for data integration, only. Findings: The developed algorithm for processing axial drilling force allowed constraining the noise inherent to the drilling process and emphasising the information that could be useful for building considered model. The impact of the properly conducted data selection has been emphasised. Also, importance of providing information represented with axial drilling force has revealed. Research limitations/implications: The developed models need to be checked or improved for practical implementation. Such improvement can be done by introducing other signal features or other cutting parameters as model inputs. Also, analysis of other signals that can be measured during drilling is assumed as a future work. Practical implications: The conducted research reconfirmed possibility of on-line diagnostics of bur height during drilling. Several parameters necessary for such diagnostics have been estimated. This suggests continuing the research in order to design a system that could be applied in industrial conditions. Originality/value: The proposed approach is not a typical since analytical models, FEM models or models basing only on cutting process parameters have been considered, mainly. Such models are limited to two dimensional machining, usually. Besides, application of artificial intelligence methods for data selection and integration points at novelty of the research conducted.
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