- Home
- Publications
- Publication Search
- Publication Details
Title
Artificial intelligence enabled smart machining and machine tools
Authors
Keywords
-
Journal
Journal of Mechanical Science and Technology
Volume 36, Issue 1, Pages 1-23
Publisher
Springer Science and Business Media LLC
Online
2022-01-09
DOI
10.1007/s12206-021-1201-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Thermal error modeling based on BiLSTM deep learning for CNC machine tool
- (2021) Pu-Ling Liu et al. Advances in Manufacturing
- A robot arm digital twin utilising reinforcement learning
- (2021) Marius Matulis et al. COMPUTERS & GRAPHICS-UK
- Spindle thermal error prediction approach based on thermal infrared images: A deep learning method
- (2021) Wu Chengyang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Tool wear estimation and life prognostics in milling: Model extension and generalization
- (2021) Yu Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering
- (2021) Yichao Dun et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Digital twin system of thermal error control for a large-size gear profile grinder enabled by gated recurrent unit
- (2021) Jialan Liu et al. Journal of Ambient Intelligence and Humanized Computing
- A CNN Prediction Method for Belt Grinding Tool Wear in a Polishing Process Utilizing 3-Axes Force and Vibration Data
- (2021) Wahyu Caesarendra et al. Electronics
- Time-Varying Error Prediction and Compensation for Movement Axis of CNC Machine Tool Based on Digital Twin
- (2021) Kuo Liu et al. IEEE Transactions on Industrial Informatics
- Milling chatter detection using scalogram and deep convolutional neural network
- (2020) Minh-Quang Tran et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A hybrid information model based on long short-term memory network for tool condition monitoring
- (2020) Weili Cai et al. JOURNAL OF INTELLIGENT MANUFACTURING
- 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
- Transfer Learning Strategies for Deep Learning-based PHM Algorithms
- (2020) Fan Yang et al. Applied Sciences-Basel
- Stability boundary and optimal operating parameter identification in milling using Bayesian learning
- (2020) Jaydeep Karandikar et al. Journal of Manufacturing Processes
- Energy efficient machine tools
- (2020) Berend Denkena et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Review of tool condition monitoring in machining and opportunities for deep learning
- (2020) G. Serin et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence
- (2020) Kaishu Xia et al. JOURNAL OF MANUFACTURING SYSTEMS
- Tool wear monitoring system in belt grinding based on image-processing techniques
- (2020) HtunHtun Oo et al. The International Journal of Advanced Manufacturing Technology
- A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
- (2020) Weichao Luo et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Multi-Sensor Data Fusion for Remaining Useful Life Prediction of Machining Tools by IABC-BPNN in Dry Milling Operations
- (2020) Min Liu et al. SENSORS
- A systematic literature review on machine tool energy consumption
- (2020) Nitesh Sihag et al. JOURNAL OF CLEANER PRODUCTION
- A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling
- (2020) Yuqing Zhou et al. MEASUREMENT
- A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
- (2020) Mustafa Kuntoğlu et al. SENSORS
- Stability optimal selection of stock shape and tool axis in finishing of thin-wall parts
- (2019) Lutfi Taner Tunc et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Empirical mode decomposition based hybrid ensemble model for electrical energy consumption forecasting of the cement grinding process
- (2019) Zhao Liu et al. MEASUREMENT
- Toward Intelligent Machine Tool
- (2019) Jihong Chen et al. Engineering
- Adaptive thermal displacement compensation method based on deep learning
- (2019) Makoto Fujishima et al. CIRP Journal of Manufacturing Science and Technology
- Thermal error modeling of machine tool spindle based on the improved algorithm optimized BP neural network
- (2019) Bo Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Time varying and condition adaptive hidden Markov model for tool wear state estimation and remaining useful life prediction in micro-milling
- (2019) Weijian Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Tool condition monitoring techniques in milling process — a review
- (2019) T. Mohanraj et al. Journal of Materials Research and Technology-JMR&T
- An unsupervised online monitoring method for tool wear using a sparse auto-encoder
- (2019) Jianming Dou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Trajectory smoothing method using reinforcement learning for computer numerical control machine tools
- (2019) Bingran Li et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- On transfer learning for chatter detection in turning using wavelet packet transform and ensemble empirical mode decomposition
- (2019) Melih C. Yesilli et al. CIRP Journal of Manufacturing Science and Technology
- An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting tools
- (2018) Akhilesh Kumar et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Review of tool condition monitoring methods in milling processes
- (2018) Yuqing Zhou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction
- (2018) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning
- (2018) Pei Cao et al. IEEE Access
- In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
- (2018) Vigneashwara Pandiyan et al. Journal of Manufacturing Processes
- Energy modeling using an effective latent variable based functional link learning machine
- (2018) Xiao-Han Zhang et al. ENERGY
- Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning
- (2018) Siyu Shao et al. IEEE Transactions on Industrial Informatics
- Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
- (2018) Dong-Hyeon Kim et al. International Journal of Precision Engineering and Manufacturing-Green Technology
- Supervision controller for real-time surface quality assurance in CNC machining using artificial intelligence
- (2018) L.C. Moreira et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Hybrid data-driven physics-based model fusion framework for tool wear prediction
- (2018) Houman Hanachi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Prediction of cutting tool wear during milling process using artificial intelligence techniques
- (2018) S. Shankar et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Smart tool path generation for 5-axis ball-end milling of sculptured surfaces using process models
- (2018) Lutfi Taner Tunc ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Energy consumption in machining: Classification, prediction, and reduction strategy
- (2017) G.Y. Zhao et al. ENERGY
- Bayesian Learning-Based Model-Predictive Vibration Control for Thin-Walled Workpiece Machining Processes
- (2017) Ye Yuan et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Fuzzy logic based tool condition monitoring for end-milling
- (2017) Besmir Cuka et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Machine learning challenges and impact: an interview with Thomas Dietterich
- (2017) Zhi-Hua Zhou National Science Review
- Application of Clustering Methods for Online Tool Condition Monitoring and Fault Diagnosis in High-Speed Milling Processes
- (2016) Amin Jahromi Torabi et al. IEEE Systems Journal
- Thermal error compensation of high-speed spindle system based on a modified BP neural network
- (2016) Chi Ma et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Chatter free tool orientations in 5-axis ball-end milling
- (2016) Chao Sun et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- A method for minimizing the energy consumption of machining system: integration of process planning and scheduling
- (2016) Zhongwei Zhang et al. JOURNAL OF CLEANER PRODUCTION
- A review of diagnostic and prognostic capabilities and best practices for manufacturing
- (2016) Gregory W. Vogl et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A comparison of machine learning methods for cutting parameters prediction in high speed turning process
- (2016) Zoran Jurkovic et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Thermal error modelling of a gantry-type 5-axis machine tool using a Grey Neural Network Model
- (2016) Ali M. Abdulshahed et al. JOURNAL OF MANUFACTURING SYSTEMS
- A probabilistic neural network applied in monitoring tool wear in the end milling operation via acoustic emission and cutting power signals
- (2016) Rodrigo Henriques Lopes da Silva et al. MACHINING SCIENCE AND TECHNOLOGY
- Surface roughness fuzzy inference system within the control simulation of end milling
- (2016) U. Zuperl et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Thermal error compensation based on genetic algorithm and artificial neural network of the shaft in the high-speed spindle system
- (2016) Chi Ma et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations
- (2016) Cunji Zhang et al. SENSORS
- Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission
- (2015) Qun Ren et al. APPLIED SOFT COMPUTING
- Tool wear predictability estimation in milling based on multi-sensorial data
- (2015) P. Stavropoulos et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Online monitoring of precision optics grinding using acoustic emission based on support vector machine
- (2015) Dongxu Zhang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A systematic approach of process planning and scheduling optimization for sustainable machining
- (2015) S. Wang et al. JOURNAL OF CLEANER PRODUCTION
- Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction
- (2014) Linxia Liao et al. IEEE TRANSACTIONS ON RELIABILITY
- Thermal sensor selection for the thermal error modeling of machine tool based on the fuzzy clustering method
- (2013) Haitong Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Health assessment and life prediction of cutting tools based on support vector regression
- (2013) T. Benkedjouh et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Chatter detection in milling machines by neural network classification and feature selection
- (2013) Mourad Lamraoui et al. JOURNAL OF VIBRATION AND CONTROL
- Thermal issues in machine tools
- (2012) Josef Mayr et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- The effects of cutting parameters on tool life and wear mechanisms of CBN tool in high-speed face milling of hardened steel
- (2012) Xiaobin Cui et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A support vector machine-based online tool condition monitoring for milling using sensor fusion and a genetic algorithm
- (2012) Bulent Kaya et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Application of backpropagation neural network for spindle vibration-based tool wear monitoring in micro-milling
- (2011) Wan-Hao Hsieh et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Machine tool thermal error modeling and prediction by grey neural network
- (2011) Yi Zhang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tool wear monitoring in bandsawing using neural networks and Taguchi’s design of experiments
- (2011) Haci Saglam INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Compensation of machine tool thermal deformation in spindle axis direction based on decomposition method
- (2011) Jiri Vyroubal PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Automated energy monitoring of machine tools
- (2010) A. Vijayaraghavan et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Advanced monitoring of machining operations
- (2010) R. Teti et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Application of ACO-BPN to thermal error modeling of NC machine tool
- (2010) Qianjian Guo et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A generic and innovative approach for integrated simulation and optimisation of end milling using solid modelling and neural network
- (2010) H. El-Mounayri et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Optimum drilling path planning for a rectangular matrix of holes using ant colony optimisation
- (2010) Adel T. Abbas et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Modeling and adaptive force control of milling by using artificial techniques
- (2010) U. Zuperl et al. JOURNAL OF INTELLIGENT MANUFACTURING
- 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-line chatter detection and identification based on wavelet and support vector machine
- (2009) Zhehe Yao et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm
- (2008) Wen-Hsien Ho et al. EXPERT SYSTEMS WITH APPLICATIONS
- An artificial immune system approach to CNC tool path generation
- (2008) Erkan Ülker et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Prediction and control of surface roughness in CNC lathe using artificial neural network
- (2008) Durmus Karayel JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started