Wear detection of WC-Cu based impregnated diamond bit matrix based on SEM image and deep learning

Deep learning-based method for SEM image segmentation in mineral characterization, an example from Duvernay Shale samples in Western Canada Sedimentary Basin

(2020) Zhuoheng Chen et al.   COMPUTERS & GEOSCIENCES

Automated assessment of gear wear mechanism and severity using mould images and convolutional neural networks

(2020) Haichuan Chang et al.   TRIBOLOGY INTERNATIONAL

Probability-based Mask R-CNN for pulmonary embolism detection

(2020) Kun Long et al.   NEUROCOMPUTING

FibeR-CNN: Expanding Mask R-CNN to improve image-based fiber analysis

(2020) M. Frei et al.   POWDER TECHNOLOGY

Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence

(2020) Lucas Costa et al.   PRECISION AGRICULTURE

Special Issue “Deep Mining”

(2019) H. Xie et al.   ROCK MECHANICS AND ROCK ENGINEERING

Deep Mining: A Rock Engineering Challenge

(2019) Horst Wagner   ROCK MECHANICS AND ROCK ENGINEERING

Integrated model of BP neural network and CNN algorithm for automatic wear debris classification

(2019) S. Wang et al.   WEAR

Instance-level recognition and quantification for concrete surface bughole based on deep learning

(2019) Fujia Wei et al.   AUTOMATION IN CONSTRUCTION

Investigation on abrasion-corrosion properties of WC-based composite with fractal theory

(2019) Liang Peng et al.   INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS

Image-based size analysis of agglomerated and partially sintered particles via convolutional neural networks

(2019) M. Frei et al.   POWDER TECHNOLOGY

Investigation of Filling Phase Percentages on the Performance of WC-Cu Based Hot-Pressing Diamond Bit Matrices

(2019) Songcheng Tan et al.   Metals

Wear mechanisms of diamond-containing hardmetals in comparison with diamond-based materials

(2018) A.J. Gant et al.   INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS

A study on the failure mechanism and wear loss of impregnated diamond bits during machining process of armor ceramics

(2018) Lei Zheng et al.   Journal of Mechanical Science and Technology

Geothermal energy in deep aquifers: A global assessment of the resource base for direct heat utilization

(2018) Jon Limberger et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wear response of impregnated diamond bits

(2018) Masood Mostofi et al.   WEAR

A Review of the Diamond Retention Capacity of Metal Bond Matrices

(2018) Xiaojun Zhao et al.   Metals

Automatic segmentation of cervical nuclei based on deep learning and a conditional random field

(2018) Yiming Liu et al.   IEEE Access

Effects of MoS2 and WS2 on the matrix performance of WC based impregnated diamond bit

(2018) Songcheng Tan et al.   TRIBOLOGY INTERNATIONAL

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Development of a Tool Condition Monitoring System for Impregnated Diamond Bits in Rock Drilling Applications

(2017) Santiago Perez et al.   ROCK MECHANICS AND ROCK ENGINEERING

Significant damages of core diamond bits in the process of rocks drilling

(2016) Patrik Flegner et al.   ENGINEERING FAILURE ANALYSIS

Acoustic emission analysis for rock–bit interactions in impregnated diamond core drilling

(2014) M. Karakus et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Bit cutter-on-rock tribometry: Analyzing friction and rate-of-penetration for deep well drilling substrates

(2014) Patrick S.M. Dougherty et al.   TRIBOLOGY INTERNATIONAL

A new composite impregnated diamond bit for extra-hard, compact, and nonabrasive rock formation

(2013) Songcheng Tan et al.   INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS

Critical Investigation of Wear Behaviour of WC Drill Bit Buttons

(2012) Anurag Gupta et al.   ROCK MECHANICS AND ROCK ENGINEERING