A U-Net-Based Intelligent Approach for Belt Morphology Quantification and Wear Monitoring

Democratising deep learning for microscopy with ZeroCostDL4Mic

(2021) Lucas von Chamier et al.   Nature Communications

A study of dynamic energy partition in belt grinding based on grinding effects and temperature dependent mechanical properties

(2021) Xukai Ren et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A robust condition monitoring methodology for grinding wheel wear identification using Hilbert Huang transform

(2021) Supriyo Mahata et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Quantitative evaluation on abrasion loss and grinding performance of hollow-sphere belt based on geometric characteristics of abrasive grains

(2021) Qinghong Wan et al.   Journal of Manufacturing Processes

A hybrid convolutional neural network for intelligent wear particle classification

(2019) Yeping Peng et al.   TRIBOLOGY INTERNATIONAL

Dressing methods of superabrasive grinding wheels: A review

(2019) Hui Deng et al.   Journal of Manufacturing Processes

Acoustic signal-based tool condition monitoring in belt grinding of nickel-based superalloys using RF classifier and MLR algorithm

(2018) Junqi Chen et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine

(2018) Xiaoqiang Zhang et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

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

Deep convolutional neural network-based in-process tool condition monitoring in abrasive belt grinding

(2018) Can Cheng et al.   COMPUTERS IN INDUSTRY

Development of portable power monitoring system and grinding analytical tool

(2017) Y.B. Tian et al.   Journal of Manufacturing Processes

Characteristic quantitative evaluation and stochastic modeling of surface topography for zirconia alumina abrasive belt

(2016) Wenxi Wang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Wear study of structured coated belts in advanced abrasive belt finishing

(2015) Kévin Serpin et al.   SURFACE & COATINGS TECHNOLOGY

Multiscale assessment of structured coated abrasive grits in belt finishing process

(2015) Kévin Serpin et al.   WEAR

Methodology of evaluation of abrasive tool wear with the use of laser scanning microscopy

(2013) Dariusz Lipiński et al.   SCANNING

Tool wear monitoring for micro-end grinding of ceramic materials

(2009) J. Feng et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY