A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models

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