A review of flank wear prediction methods for tool condition monitoring in a turning process
Published 2012 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A review of flank wear prediction methods for tool condition monitoring in a turning process
Authors
Keywords
Flank wear, Tool condition monitoring, Turning, Signal acquisition, Artificial intelligence
Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 65, Issue 1-4, Pages 371-393
Publisher
Springer Nature
Online
2012-05-14
DOI
10.1007/s00170-012-4177-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A new approach to investigate tool condition using dummy tool holder and sensor setup
- (2011) Md. Sayem Hossain Bhuiyan et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Cutting tool wear monitoring for reliability analysis using proportional hazards model
- (2011) Feng Ding et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool condition monitoring based on numerous signal features
- (2011) Krzysztof Jemielniak et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Design methodology for smart actuator services for machine tool and machining control and monitoring
- (2011) Xavier Desforges et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Advanced monitoring of machining operations
- (2010) R. Teti et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- TSK fuzzy modeling for tool wear condition in turning processes: An experimental study
- (2010) Qun Ren et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Real-time monitoring of flank wear behavior of ceramic cutting tool in turning hardened steels
- (2010) Ahmet Cakan INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Development of a system for monitoring tool condition using acousto-optic emission signal in face turning—an experimental approach
- (2010) Balla Srinivasa Prasad et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Effect of tool edge wear on the cutting forces and vibrations in high-speed finish machining of Inconel 718: an experimental study and wavelet transform analysis
- (2010) Ning Fang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Flank wear prediction of ceramic tools in hard turning
- (2010) Dilbag Singh et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process
- (2010) Agustin Gajate et al. JOURNAL OF INTELLIGENT MANUFACTURING
- FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
- (2010) Miguel Trejo-Hernandez et al. SENSORS
- Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features
- (2009) M. Elangovan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
- (2009) Kunpeng Zhu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- On modeling of tool wear using sensor fusion and polynomial classifiers
- (2009) Ibrahim Deiab et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Design optimization of cutting conditions and analysis of their effect on tool wear and surface roughness during hard turning of AISI-H11 steel with a coated—mixed ceramic tool
- (2009) J S Dureja et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Use of descriptors based on moments from digital images for tool wear monitoring
- (2008) J. Barreiro et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materials
- (2008) M. Calamaz et al. INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
- Design of neural network-based estimator for tool wear modeling in hard turning
- (2008) Xiaoyu Wang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Analysis of the structure of vibration signals for tool wear detection
- (2007) F.J. Alonso et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started