Results 21 to 30 of about 5,320,548 (290)
Influence of temperature and crystal orientation on tool wear during single point diamond turning of silicon [PDF]
, 2012 Owing to the capricious wear of cutting tools, ultra precision manufacturing of silicon through single point diamond turning (SPDT) operation becomes a challenging task.
Reuben, Robert L +3 more
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IEEE Access, 2021 Reliable and precise multi-step-ahead tool wear state prediction is significant to modern industries for maintaining part quality and reducing cost. This study proposes a Clustering Feature-based Recurrent Fuzzy Neural Network (CFRFNN) for tool wear ...
Jiachen Yao, Baochun Lu, Junli Zhang
doaj +1 more source
Explainable AI for tool wear prediction in turning
CoRR, 2023 This research aims develop an Explainable Artificial Intelligence (XAI) framework to facilitate human-understandable solutions for tool wear prediction during turning. A random forest algorithm was used as the supervised Machine Learning (ML) classifier for training and binary classification using acceleration, acoustics, temperature, and spindle speed
Saleh Valizadeh Sotubadi +2 more
openaire +2 more sources
Tool state prediction model of Tent-ASO-BP neural network based on multi-feature fusion
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2023 Aiming at the problem of tool wear prediction under small samples, this study proposes a tool condition prediction model based on the Tent-ASO-BP neural network.
Chunhua ZHAO +6 more
doaj +1 more source
Metals, 2021 The forming process of ultra-high-strength steel (UHSS) may cause premature damage to the tool surface due to the high forming pressure. The damage to and wear of the tool surface increase maintenance costs and deteriorate the surface quality of the ...
Junho Bang +5 more
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SN Applied Sciences, 2022 Article highlights The research hotspots and shortcomings of tool wear mechanism, online monitoring and residual life prediction are comprehensively summarized.
Yang Zhou +4 more
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IEEE Access, 2022 Tool wear can cause dimensional accuracy and poor surface quality in milling process. During the operation of tool wear, it can also cause breakage and damage of the workpieces.
Muquan Lin +3 more
doaj +1 more source
Acoustic emission and vibration for tool wear monitoring in single-point [PDF]
, 2001 This paper proposes an implementation of calibrated acoustic emission (AE) and vibration techniques to monitor progressive stages of flank wear on carbide tool tips.
Au, YHJ, Jones, BE, Prateepasen, A
core +4 more sources
Research on On-line Tool Wear Monitoring Technology Based on GPR [PDF]
E3S Web of Conferences, 2021 At present, many kinds of sensors are used for on-line monitoring of cutting process, tool identification and timely replacement. However, most of the original monitoring signals extracted from the cutting process are time series signals, which contain ...
Fan Shan, Huang Yi, Zeng Haixia
doaj +1 more source
Sensors, 2022 Tool condition monitoring can be employed to ensure safe and full utilization of the cutting tool. Hence, remaining useful life (RUL) prediction of a cutting tool is an important issue for an effective high-speed milling process-monitoring system ...
Weichao Liu, Wen-An Yang, Youpeng You
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