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A novel transformer-based neural network model for tool wear estimation
Measurement science and technology, 2020This paper proposes a novel Transformer-based neural network model for accurate tool wear estimation to improve production quality and efficiency in intelligent manufacturing. The proposed method can realize indirect measurement of tool wear.
Hui Liu +4 more
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Tool Wear Estimation in End Milling of Titanium Alloy Using NPE and a Novel WOA-SVM Model
IEEE Transactions on Instrumentation and Measurement, 2020Accurate identification of the tool wear states in machining of titanium alloys continues to be a thorny problem. Rapid construction of accurate and effective tool wear predictive models with regard to various titanium alloys is indispensable for ...
Dongdong Kong +5 more
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Prehensile Wear on Flint Tools
Lithic Technology, 2004AbstractMicroscopic functional research has mainly been focused on use-wear traces visible on working edges (active tool parts). Non-active parts have been largely neglected, although these parts may also carry traces worth exploring. Not only technological traces, but also prehensile traces can be observed, resulting from hand-held, wrapped or hafted ...
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Wear, 1972
Abstract The various types of tool material are discussed in relation to properties required for effective performance. Tool wear is considered from a practical point of view (i.e. the influence of machining conditions on the form and magnitude of wear). Methods of reducing tool wear, such as surface treatment of cutting tools, application of cutting
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Abstract The various types of tool material are discussed in relation to properties required for effective performance. Tool wear is considered from a practical point of view (i.e. the influence of machining conditions on the form and magnitude of wear). Methods of reducing tool wear, such as surface treatment of cutting tools, application of cutting
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Tool Design, Tool Wear and Tool Life
2009Metal cutting is a process of removing material from a workpiece in the form of chips using single- or multi-point cutting tools with a clearly defined geometry. To some extent, the performance of a cutting tool determines the cutting behaviour and the process capability.
Jiwang Yan +2 more
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Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion
IEEE Transactions on Industrial Informatics, 2020Tool wear prediction is of critical importance to maintain the desired part quality and improve productivity. Inspired by the successful application of deep learning in many condition monitoring tasks.
Chengming Shi +5 more
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Tool wear intelligent monitoring techniques in cutting: a review
Journal of Mechanical Science and Technology, 2023Yaonan Cheng +5 more
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1989
Abstract Cutting tool wear is a production management problem for manufacturing industries. It occurs along the cutting edge and on adjacent surfaces. This article describes steady-state wear mechanisms, tertiary wear mechanisms, and tool replacement. It provides information on tool failure and its consequences.
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Abstract Cutting tool wear is a production management problem for manufacturing industries. It occurs along the cutting edge and on adjacent surfaces. This article describes steady-state wear mechanisms, tertiary wear mechanisms, and tool replacement. It provides information on tool failure and its consequences.
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2021
During the cutting process, the tool will gradually become dull. When tool wear reaches a certain point, the cutting force increases, the cutting temperature rises, and even vibration occurs.
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During the cutting process, the tool will gradually become dull. When tool wear reaches a certain point, the cutting force increases, the cutting temperature rises, and even vibration occurs.
openaire +1 more source