A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models
出版年份 2023 全文链接
标题
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models
作者
关键词
-
出版物
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-01-13
DOI
10.1007/s10845-023-02074-8
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Workpiece image-based tool wear classification in blanking processes using deep convolutional neural networks
- (2022) Dirk Alexander Molitor et al. Production Engineering-Research and Development
- Online Surface Roughness Prediction for Assembly Interfaces of Vertical Tail Integrating Tool Wear under Variable Cutting Parameters
- (2022) Yahui Wang et al. SENSORS
- Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model
- (2022) Vinay Vakharia et al. Journal of Materials Research and Technology-JMR&T
- A ResNet attention model for classifying mosquitoes from wing-beating sounds
- (2022) Xutong Wei et al. Scientific Reports
- Transfer Learning-Based Condition Monitoring of Single Point Cutting Tool
- (2022) S. Naveen Venkatesh et al. Computational Intelligence and Neuroscience
- Wear and Friction Mechanism of Stainless Steel 420 Under Various Lubrication Conditions: A Tribological Assessment With Ball on Flat Test
- (2022) Munish Kumar Gupta et al. JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
- Optimization and measurement of flank wear and surface roughness via Taguchi based grey relational analysis
- (2021) Hilmi Pekşen et al. MATERIALS AND MANUFACTURING PROCESSES
- Tool wear classification based on machined surface images using convolution neural networks
- (2021) M Phani Kumar et al. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
- Milling performance assessment of Ti-6Al-4V under CO2 cooling utilizing coated AlCrN/TiAlN insert
- (2021) Nimel Sworna Ross et al. MATERIALS AND MANUFACTURING PROCESSES
- A method for predicting hobbing tool wear based on CNC real-time monitoring data and deep learning
- (2021) Dashuang Wang et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
- (2021) Mohamed Marei et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- An experimental investigation of hybrid manufactured SLM based Al-Si10-Mg alloy under mist cooling conditions
- (2021) Monsuru Ramoni et al. Journal of Manufacturing Processes
- Towards high-performance deep learning models in tool wear classification with generative adversarial networks
- (2021) Dirk Alexander Molitor et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Inception v3 based cervical cell classification combined with artificially extracted features
- (2020) N. Dong et al. APPLIED SOFT COMPUTING
- In-process tool condition forecasting based on a deep learning method
- (2020) Huibin Sun et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Tool Wear Monitoring for Complex Part Milling Based on Deep Learning
- (2020) Xiaodong Zhang et al. Applied Sciences-Basel
- Intelligent analysis of tool wear state using stacked denoising autoencoder with online sequential-extreme learning machine
- (2020) Jiayu Ou et al. MEASUREMENT
- Environmentally sustainable cooling strategies in milling of SA516: Effects on surface integrity of dry, flood and MQL machining
- (2020) Adam Race et al. JOURNAL OF CLEANER PRODUCTION
- A machine learning approach for vibration-based multipoint tool insert health prediction on vertical machining centre (VMC)
- (2020) Abhishek Dhananjay Patange et al. MEASUREMENT
- Metrological analysis of surface quality aspects in minimum quantity cooling lubrication
- (2020) R.W. Maruda et al. MEASUREMENT
- Ecological trends in machining as a key factor in sustainable production – A review
- (2019) G.M. Krolczyk et al. JOURNAL OF CLEANER PRODUCTION
- Tool wear classification using time series imaging and deep learning
- (2019) Giovanna Martínez-Arellano 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
- Automatic Identification of Tool Wear Based on Convolutional Neural Network in Face Milling Process
- (2019) Xuefeng Wu et al. SENSORS
- An Intelligent Milling Tool Wear Monitoring Methodology Based on Convolutional Neural Network with Derived Wavelet Frames Coefficient
- (2019) Xincheng Cao et al. Applied Sciences-Basel
- Effects of extreme pressure and anti-wear additives on surface topography and tool wear during MQCL turning of AISI 1045 steel
- (2018) Radoslaw W. Maruda et al. Journal of Mechanical Science and Technology
- Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery
- (2018) Masoud Mahdianpari et al. Remote Sensing
- Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process
- (2018) Fatemeh Aghazadeh et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Smart optimization of a friction-drilling process based on boosting ensembles
- (2018) Andres Bustillo et al. JOURNAL OF MANUFACTURING SYSTEMS
- Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
- (2017) Rui Zhao et al. SENSORS
- An in-depth study of tool wear monitoring technique based on image segmentation and texture analysis
- (2016) Lihong Li et al. MEASUREMENT
- Analysis of Contact Phenomena and Heat Exchange in the Cutting Zone Under Minimum Quantity Cooling Lubrication conditions
- (2015) Radoslaw W. Maruda et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Tool Condition Monitoring in Turning by Applying Machine Vision
- (2015) Samik Dutta et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA
- (2015) Arif Gok MEASUREMENT
- Application of ridge regression and factor analysis in design and production of alloy wheels
- (2014) Zhi-Sheng Ye et al. JOURNAL OF APPLIED STATISTICS
- Cutting parameter and tool path style effects on cutting force and tool deflection in machining of convex and concave inclined surfaces
- (2013) Arif Gok 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
- Using support vector machine for materials design
- (2013) Wen-Cong Lu et al. Advances in Manufacturing
- Improving tool life using cryogenic cooling
- (2007) Ahsan Ali Khan et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
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