Results 11 to 20 of about 5,074,594 (286)

Tool wear monitoring in turning using fused data sets of calibrated acoustic emission and vibration [PDF]

open access: yes, 2001
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The main aim of this research is to develop an on-line tool wear condition monitoring intelligent system for single-point turning operations.
Prateepasen, Asa
core   +7 more sources

Influence of temperature and crystal orientation on tool wear during single point diamond turning of silicon [PDF]

open access: yes, 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
core   +4 more sources

Tool state prediction model of Tent-ASO-BP neural network based on multi-feature fusion

open access: yesJournal 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

Tool Wear Prediction in the Forming of Automotive DP980 Steel Sheet Using Statistical Sensitivity Analysis and Accelerated U-Bending Based Wear Test

open access: yesMetals, 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
doaj   +1 more source

Tool Wear Monitoring System based on Real-Time Cutting Coefficient Identification [PDF]

open access: yes한국정밀공학회지, 2022
Among the monitoring technologies in the metal-cutting process, tool wear is the most critical monitoring factor in real machining sites. Extensive studies have been conducted to monitor equipment breakdown in real-time. For example, tool wear prediction
Young Jae Choi   +3 more
doaj   +1 more source

Acoustic emission and vibration for tool wear monitoring in single-point [PDF]

open access: yes, 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   +6 more sources

Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review

open access: yesSN 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
doaj   +1 more source

Evolving Connectionist System and Hidden Semi-Markov Model for Learning-Based Tool Wear Monitoring and Remaining Useful Life Prediction

open access: yesIEEE 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

Research on On-line Tool Wear Monitoring Technology Based on GPR [PDF]

open access: yesE3S 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

Three-Stage Wiener-Process-Based Model for Remaining Useful Life Prediction of a Cutting Tool in High-Speed Milling

open access: yesSensors, 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
doaj   +1 more source

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