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Tool wear estimation using a CNN-transformer model with semi-supervised learning
Measurement science and technology, 2021In the machining industry, tool wear has a great influence on machining efficiency, product quality, and production costs. To achieve accurate tool wear estimation, a novel CNN-transformer neural network (CTNN) model is proposed in this paper.
Hui Liu +5 more
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A U-Net-Based Approach for Tool Wear Area Detection and Identification
IEEE Transactions on Instrumentation and Measurement, 2021The tool wear condition monitoring is key to ensuring product quality. This article develops a direct technique dealing with cutting tool images to automate the tool wear detection and identification.
Huihui Miao +4 more
semanticscholar +1 more source
DIAGNOSIS OF TOOL WEAR WITH A MICROCONTROLLER
IFAC Proceedings Volumes, 2006Tool wear monitoring is very important for economical reasons. In this paper a very economical solution is presented. The idea is to use easily available microcontroller based hardware, which is very cheap due to mass production. The cheap hardware is combined together with sophisticated software. The use of regression analysis techniques together with
Eero Vaajoensuu, Erkki Jantunen
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Wear, 1973
Abstract Thermoelectric tool wear was measured by the thermocurrent generated in Machine-Tool-Workpiece-Machine (MTWM) circuit. The relationship between thermocurrent and the cutting parameters in the machining of EN 24 steel with a carbide tool and the significance of the influencing parameters are assessed statistically.
H. Bagchi, S.K. Basu
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Abstract Thermoelectric tool wear was measured by the thermocurrent generated in Machine-Tool-Workpiece-Machine (MTWM) circuit. The relationship between thermocurrent and the cutting parameters in the machining of EN 24 steel with a carbide tool and the significance of the influencing parameters are assessed statistically.
H. Bagchi, S.K. Basu
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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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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
semanticscholar +1 more source
Tribology International, 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 Wear Online Monitoring Method Based on DT and SSAE-PHMM
Journal of Computing and Information Science in Engineering, 2021The real-time requirements of tool wear states monitoring are getting higher and higher, at the same time, tool wear monitoring lacks a modeling data comprehensive carrier, which hinders its application in the actual machining process.
Xiangyu Zhang +3 more
semanticscholar +1 more source
, 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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Wear mechanism of ceramic tools
Wear, 1993Abstract Cutting tests were performed using ceramic cutting tools under continuous cutting conditions. The tests were carried out on AISI 1040 steel, with cutting speeds ranging from 5 to 11 m s −1 . The wear mechanism was investigated for both crater and flank.
CASTO SL +4 more
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