Online monitoring and multi-objective optimisation of technological parameters in high-speed milling process
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Title
Online monitoring and multi-objective optimisation of technological parameters in high-speed milling process
Authors
Keywords
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Journal
The International Journal of Advanced Manufacturing Technology
Volume 112, Issue 9-10, Pages 2461-2483
Publisher
Springer Science and Business Media LLC
Online
2021-01-07
DOI
10.1007/s00170-020-06444-x
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Note: Only part of the references are listed.- Application of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining
- (2020) Yassmin Seid Ahmed et al. MEASUREMENT
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- (2020) Chang’an Zhou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Analytical modelling and experimental validation of micro-ball-end milling forces with progressive tool flank wear
- (2020) Lin Zhou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Energy consumption considering tool wear and optimization of cutting parameters in micro milling process
- (2020) Xuewei Zhang et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- An automatic and accurate method for tool wear inspection using grayscale image probability algorithm based on bayesian inference
- (2020) Yingguang Li et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- An Improved Cutting Power-based Model for Evaluating Total Energy Consumption in General End Milling Process
- (2019) K.N. Shi et al. JOURNAL OF CLEANER PRODUCTION
- Tool condition monitoring in CNC end milling using wavelet neural network based on machine vision
- (2019) Pauline Ong et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool wear classification using time series imaging and deep learning
- (2019) Giovanna Martínez-Arellano et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A novel method for tool condition monitoring based on long short-term memory and hidden Markov model hybrid framework in high-speed milling Ti-6Al-4V
- (2019) Zhengrui Tao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Energy consumption model for milling processes considering auxiliary load loss and its applications
- (2019) Qi Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool condition monitoring techniques in milling process — a review
- (2019) T. Mohanraj et al. Journal of Materials Research and Technology-JMR&T
- Vibration singularity analysis for milling tool condition monitoring
- (2019) Chang'an Zhou et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- An analytical approach on stochastic model for cutting force prediction in milling ceramic matrix composites
- (2019) Xuewei Zhang et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Surface generation modeling of micro milling process with stochastic tool wear
- (2019) Xuewei Zhang et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Flank wear and rake wear studies for arc enhanced HiPIMS coated AlTiN tools during high speed machining of nickel-based superalloy
- (2019) Abhishek Singh et al. SURFACE & COATINGS TECHNOLOGY
- Wear performance investigation of PVD coated and uncoated carbide tools during high-speed machining of TiAl6V4 aerospace alloy
- (2019) M.S.I. Chowdhury et al. WEAR
- A mathematical model for the joint optimization of machining conditions and tool replacement policy with stochastic tool life in the milling process
- (2018) Arash Zaretalab et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool wear condition monitoring based on continuous wavelet transform and blind source separation
- (2018) Tarak Benkedjouh et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- 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
- Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear
- (2018) D. Yu Pimenov et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Frequency and Time-Frequency Analysis of Cutting Force and Vibration Signals for Tool Condition Monitoring
- (2018) Juan C. Jauregui et al. IEEE Access
- Tool wear monitoring in single-point diamond turning using laser scattering from machined workpiece
- (2018) H. Hocheng et al. Journal of Manufacturing Processes
- Application of compressed air in the online monitoring of surface roughness and grinding wheel wear when grinding Ti-6Al-4V titanium alloy
- (2018) Shaohui Yin et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Online monitoring of surface roughness and grinding wheel wear when grinding Ti-6Al-4V titanium alloy using ANFIS-GPR hybrid algorithm and Taguchi analysis
- (2018) DuyTrinh Nguyen et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Optical image watermarking based on singular value decomposition ghost imaging and lifting wavelet transform
- (2018) Shiqing Wang et al. OPTICS AND LASERS IN ENGINEERING
- A modified analytical cutting force prediction model under the tool flank wear effect in micro-milling nickel-based superalloy
- (2017) Xiaohong Lu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Audio signal analysis for tool wear monitoring in sheet metal stamping
- (2017) Indivarie Ubhayaratne et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multi-scale statistical signal processing of cutting force in cutting tool condition monitoring
- (2015) Dong Gao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Experimental study on the process of adiabatic shear fracture in isolated segment formation in high-speed machining of hardened steel
- (2015) Liyao Gu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Wear patterns and wear mechanisms of cutting tools used during the manufacturing of chopped carbon fiber
- (2015) Zhongfu Shen et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Study of machining parameter optimization in high speed milling of Inconel 718 curved surface based on cutting force
- (2014) Jian-wei Ma et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Empirical power-consumption model for material removal in three-axis milling
- (2014) Hae-Sung Yoon et al. JOURNAL OF CLEANER PRODUCTION
- Determination of tool friction in presence of flank wear and stress distribution based validation using finite element simulations in machining of titanium and nickel based alloys
- (2013) Durul Ulutan et al. JOURNAL OF MATERIALS PROCESSING 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
- Tool wear characteristics in machining of nickel-based superalloys
- (2012) Dahu Zhu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Multiscale Singularity Analysis of Cutting Forces for Micromilling Tool-Wear Monitoring
- (2010) Zhu Kunpeng et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Tool wear monitoring by machine learning techniques and singular spectrum analysis
- (2010) Bovic Kilundu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- 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
- Chatter detection based on probability distribution of wavelet modulus maxima
- (2009) Lei Wang et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Tracking oceanic currents by singularity analysis of Microwave Sea Surface Temperature images
- (2008) Antonio Turiel et al. REMOTE SENSING OF ENVIRONMENT
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