A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
Authors
Keywords
-
Journal
SENSORS
Volume 21, Issue 1, Pages 108
Publisher
MDPI AG
Online
2020-12-28
DOI
10.3390/s21010108
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The effect of vibration and cutting zone temperature on surface roughness and tool wear in eco-friendly MQL turning of AISI D2
- (2020) Onur Özbek et al. Journal of Materials Research and Technology-JMR&T
- Investigations of surface quality and energy consumption associated with costs and material removal rate during face milling of AISI 1045 steel
- (2020) Danil Yu. Pimenov et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining
- (2020) Longhua Xu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Optimization and Analysis of Process Parameters for Flank Wear, Cutting Forces and Vibration in Turning of AISI 5140: A Comprehensive Study
- (2020) Abdullah Aslan MEASUREMENT
- Applications of machine learning to machine fault diagnosis: A review and roadmap
- (2020) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Tribological Performance of Micro-Groove Tools of Improving Tool Wear Resistance in Turning AISI 304 Process
- (2020) Jinxing Wu et al. Materials
- Review of tool condition monitoring in machining and opportunities for deep learning
- (2020) G. Serin et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Measurement and multi-response optimization of turning parameters for magnesium alloy using hybrid combination of Taguchi-GRA-PCA technique
- (2020) R. Viswanathan et al. MEASUREMENT
- Optimization and Analysis of Surface Roughness, Flank Wear and 5 Different Sensorial Data via Tool Condition Monitoring System in Turning of AISI 5140
- (2020) Mustafa Kuntoğlu et al. SENSORS
- The Possibility of Applying Acoustic Emission and Dynamometric Methods for Monitoring the Turning Process
- (2020) Krzysztof Dudzik et al. Materials
- The effects of CryoMQL conditions on tool wear and surface integrity in hard turning of AISI 52100 bearing steel
- (2020) Hüseyin Alp Çetindağ et al. Journal of Manufacturing Processes
- Influences of coating thickness on cutting temperature for dry hard turning Inconel 718 with PVD TiAlN coated carbide tools in initial tool wear stage
- (2020) Jinfu Zhao et al. Journal of Manufacturing Processes
- Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
- (2020) Andres Bustillo et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
- (2020) Mustafa Kuntoğlu et al. MEASUREMENT
- Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel
- (2020) Mustafa Kuntoğlu et al. Materials
- The effects of harsh aging environments on the properties of neat and MWCNT reinforced epoxy resins
- (2020) Abdullah Aslan et al. CONSTRUCTION AND BUILDING MATERIALS
- Experimental study on correlation between turning temperature rise and turning vibration in dry turning on aluminum alloy
- (2019) Qiu Yu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool wear evaluation under minimum quantity lubrication by clustering energy of acoustic emission burst signals
- (2019) Chengdong Wang et al. MEASUREMENT
- Analytical modeling of tool health monitoring system using multiple sensor data fusion approach in hard machining
- (2019) Amarjit P. Kene et al. MEASUREMENT
- Experimental study and analysis of machinability characteristics of metal matrix composites during drilling
- (2019) Emin Salur et al. COMPOSITES PART B-ENGINEERING
- Investigation of progressive tool wear for determining of optimized machining parameters in turning
- (2019) Mustafa Kuntoğlu et al. MEASUREMENT
- Relevance vector machine for tool wear prediction
- (2019) Dongdong Kong et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Investigation of surface topography and its deterioration resulting from tool wear evolution when dry turning of titanium alloy Ti-6Al-4V
- (2019) Xiaoliang Liang et al. TRIBOLOGY INTERNATIONAL
- The effect of addition of hBN nanoparticles to nanofluid-MQL on tool wear patterns, tool life, roughness and temperature in turning of Ni-based Inconel 625
- (2019) Çağrı Vakkas Yıldırım et al. TRIBOLOGY INTERNATIONAL
- Prediction of Surface Roughness of 304 Stainless Steel and Multi-Objective Optimization of Cutting Parameters Based on GA-GBRT
- (2019) Tao Zhou et al. Applied Sciences-Basel
- Optimization of machining parameters in turning Nimonic-75 using machine vision and acoustic emission signals by Taguchi technique
- (2019) Y.D. Chethan et al. MEASUREMENT
- Prediction of Tool Wear Using Artificial Neural Networks during Turning of Hardened Steel
- (2019) Paweł Twardowski et al. Materials
- Tool condition monitoring techniques in milling process — a review
- (2019) T. Mohanraj et al. Journal of Materials Research and Technology-JMR&T
- Review of tool condition monitoring methods in milling processes
- (2018) Yuqing Zhou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Effect of Cr particulate reinforcements in different ratios on wear performance and mechanical properties of Cu matrix composites
- (2018) Mahir Uzun et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
- Optimization of drilling parameters for drilling of TI-6Al-4V based on surface roughness, flank wear and drill vibration
- (2018) M. Balaji et al. MEASUREMENT
- Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition
- (2018) Mozammel Mia et al. MEASUREMENT
- Predicting tool life in turning operations using neural networks and image processing
- (2018) T. Mikołajczyk et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Analysis of cutting force signals by wavelet packet transform for surface roughness monitoring in CNC turning
- (2018) E. García Plaza et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Mechanical properties and microstructure of composites produced by recycling metal chips
- (2018) Abdullah Aslan et al. International Journal of Minerals Metallurgy and Materials
- Literature review of Industry 4.0 and related technologies
- (2018) Ercan Oztemel et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A tool breakage monitoring method for end milling based on the indirect electric data of CNC system
- (2018) Guangda Xu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Deep learning and its applications to machine health monitoring
- (2018) Rui Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Influence of vibration in cutting on tool flank wear: Fundamental study by conducting a cutting experiment with forced vibration in the depth-of-cut direction
- (2018) Ryosuke Kataoka et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- An investigation of cutting forces and tool wear in turning of Haynes 282
- (2018) A. Suárez et al. Journal of Manufacturing Processes
- Tool life enhancement in dry diamond turning of titanium alloys using an eddy current damping and a magnetic field for sustainable manufacturing
- (2017) W.S. Yip et al. JOURNAL OF CLEANER PRODUCTION
- Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
- (2017) D. Yu. Pimenov et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A hybrid approach of Taguchi-Response Surface Methodology for modeling and optimization of Duplex Turning process
- (2017) Ravindra Nath Yadav MEASUREMENT
- Neural network approach for automatic image analysis of cutting edge wear
- (2017) T. Mikołajczyk et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Cutting forces, tool wear and surface finish in high speed diamond machining
- (2017) Ekkard Brinksmeier et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- The effect of oil mist supply on cutting point temperature and tool wear in driven rotary cutting
- (2017) Hiroyuki Sasahara et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
- (2017) Rui Zhao et al. SENSORS
- Experimental and numerical investigations on the effect of varying AlTiN coating thickness on hard machining performance of Al 2 O 3 -TiCN mixed ceramic inserts
- (2017) Ch Sateesh Kumar et al. SURFACE & COATINGS TECHNOLOGY
- Effect of cutting parameters on surface roughness using orthogonal array in hard turning of AISI 1045 steel with YT5 tool
- (2016) Zeqing Xiao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Performance comparison of wiper and conventional ceramic inserts in hard turning of AISI 4140 steel: analysis of machining forces and flank wear
- (2016) H. Aouici et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Force-based tool condition monitoring for turning process using v-support vector regression
- (2016) Ning Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A sensor fusion and support vector machine based approach for recognition of complex machining conditions
- (2016) Changqing Liu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Optimization of surface roughness and tool wear in hard turning of austempered ductile iron (grade 3) using Taguchi method
- (2016) D. Manivel et al. MEASUREMENT
- Application of acoustic emission sensor to investigate the frequency of tool wear and plastic deformation in tool condition monitoring
- (2016) M.S.H. Bhuiyan et al. MEASUREMENT
- Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network
- (2016) Mozammel Mia et al. MEASUREMENT
- Milling tool's flank wear prediction by temperature dependent wear mechanism determination when machining Inconel 182 overlays
- (2016) Chengdong Wang et al. TRIBOLOGY INTERNATIONAL
- Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites
- (2015) A.I. Azmi ADVANCES IN ENGINEERING SOFTWARE
- Incremental learning for online tool condition monitoring using Ellipsoid ARTMAP network model
- (2015) C. Liu et al. APPLIED SOFT COMPUTING
- Cutting temperature effect on PCBN and CVD coated carbide tools in hard turning of D2 tool steel
- (2015) G.K. Dosbaeva et al. INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
- Study of surface roughness and flank wear in hard turning of AISI 4140 steel with coated ceramic inserts
- (2015) Sudhansu Ranjan Das et al. Journal of Mechanical Science and Technology
- Detection of tool breakage during hard turning through acoustic emission at low removal rates
- (2015) M. Neslušan et al. MEASUREMENT
- Effect of secondary hardening on cutting forces, cutting temperature, and tool wear in hard turning of high alloy tool steels
- (2015) M.A. El Hakim et al. MEASUREMENT
- Study on surface roughness measurement for turning of Al 7075/10/SiCp and Al 7075 hybrid composites by using response surface methodology (RSM) and artificial neural networking (ANN)
- (2015) Ravinder Kumar et al. MEASUREMENT
- A new approach for detection of wear mechanisms and determination of tool life in turning using acoustic emission
- (2015) Luis Henrique Andrade Maia et al. TRIBOLOGY INTERNATIONAL
- An approach to the microscopic study of wear mechanisms during hard turning with coated ceramics
- (2015) Bernhard Karpuschewski et al. WEAR
- Influence of cutting edge geometry on tool wear performance in interrupted hard turning
- (2015) C.E.H. Ventura et al. Journal of Manufacturing Processes
- Vibration-based estimation of tool major flank wear in a turning process using ARMA models
- (2014) B. H. Aghdam et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool wear monitoring using naïve Bayes classifiers
- (2014) Jaydeep Karandikar et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption
- (2014) Mohd Sayuti et al. JOURNAL OF CLEANER PRODUCTION
- Cutting temperatures during hard turning—Measurements and effects on white layer formation in AISI 52100
- (2014) S.B. Hosseini et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Monitoring and processing signal applied in machining processes – A review
- (2014) C.H. Lauro et al. MEASUREMENT
- A review of empirical modeling techniques to optimize machining parameters for hard turning applications
- (2014) JS Dureja et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Relevance of roughness parameters of surface finish in precision hard turning
- (2013) Nabil Jouini et al. SCANNING
- Online tool wear prediction system in the turning process using an adaptive neuro-fuzzy inference system
- (2012) Muhammad Rizal et al. APPLIED SOFT COMPUTING
- Online monitoring and measurements of tool wear for precision turning of stainless steel parts
- (2012) Tien-I Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A review of flank wear prediction methods for tool condition monitoring in a turning process
- (2012) A. Siddhpura et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An innovative approach to monitor the chip formation effect on tool state using acoustic emission in turning
- (2012) Bhuiyan M.S.H. et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach)
- (2012) Ashok Kumar Sahoo et al. MEASUREMENT
- Application of grey relational analysis in high-speed machining of hardened AISI D6 steel
- (2012) Alaattin Kacal et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm
- (2011) Suman Samanta et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Power signal separation in milling process based on wavelet transform and independent component analysis
- (2011) Hua Shao et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Modeling and optimization of hard turning of X38CrMoV5-1 steel with CBN tool: Machining parameters effects on flank wear and surface roughness
- (2011) Hamdi Aouici et al. Journal of Mechanical Science and Technology
- Advanced monitoring of machining operations
- (2010) R. Teti et al. CIRP ANNALS-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
- Tool wear estimation using an analytic fuzzy classifier and support vector machines
- (2010) Danko Brezak et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Industrial application of a multitooth tool breakage detection system using spindle motor electrical power consumption
- (2009) Aníbal Reñones et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- 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
- Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties
- (2009) Sukhomay Pal et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Use of descriptors based on moments from digital images for tool wear monitoring
- (2008) J. Barreiro et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Analysis of the structure of vibration signals for tool wear detection
- (2007) F.J. Alonso et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation