Study on Dispersion Stability and Friction Characteristics of C60 Nanomicrosphere Lubricating Additives for Improving Cutting Conditions in Manufacturing Process

A force model for face grinding using digital graphic scanning (DGS) method

(2021) Wei Feng et al.   The International Journal of Advanced Manufacturing Technology

Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning

(2021) Qasim Nazir et al.   Journal of Manufacturing Processes

Ultra-Resolution Spectral Correction Based on Adaptive Linear Neuron for Biomedical Signal Processing

(2021) Binqiang Chen et al.   Frontiers in Public Health

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

(2021) Bin-qiang Chen et al.   Frontiers in Public Health

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

(2021) Wucheng Sun et al.   INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS

Effects of reinforced nanofluid with nanoparticles on cutting tool wear morphology

(2019) Seyed Hasan Musavi et al.   Journal of Central South University

Effects of cutting fluids with nano-silver and borax additives on milling performance of aluminium alloys

(2019) M. Huseyin Cetin et al.   Journal of Manufacturing Processes

Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

(2018) H.O.A. Ahmed et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Novel uses of alumina/graphene hybrid nanoparticle additives for improved tribological properties of lubricant in turning operation

(2018) Anuj Kumar Sharma et al.   TRIBOLOGY INTERNATIONAL

Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

(2018) Fatemeh Aghazadeh et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 1—PZT Diaphragm Transducer Response and EMI Sensing Technique

(2018) Pedro Junior et al.   SENSORS

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

Novel uses of alumina-MoS 2 hybrid nanoparticle enriched cutting fluid in hard turning of AISI 304 steel

(2017) Anuj Kumar Sharma et al.   Journal of Manufacturing Processes

Optimization of machining parameters and cutting fluids during nano-fluid based minimum quantity lubrication turning of titanium alloy by using evolutionary techniques

(2016) Munish Kumar Gupta et al.   JOURNAL OF CLEANER PRODUCTION

Effectiveness of vegetable oil based nanofluids as potential cutting fluids in turning AISI 1040 steel

(2016) R. Padmini et al.   TRIBOLOGY INTERNATIONAL

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Improving the AW/EP ability of chemically modified palm oil by adding CuO and MoS2 nanoparticles

(2015) M. Gulzar et al.   TRIBOLOGY INTERNATIONAL

Tribological properties of Al2O3 nanoparticles as lubricating oil additives

(2014) Ting Luo et al.   CERAMICS INTERNATIONAL

Rheological and tribological behaviour of lubricating oils containing platelet MoS2 nanoparticles

(2014) Qingming Wan et al.   JOURNAL OF NANOPARTICLE RESEARCH

Ball screw preload loss detection using ball pass frequency

(2014) P.C. Tsai et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Preparation and Tribological Properties of Surface-Capped Copper Nanoparticle as a Water-Based Lubricant Additive

(2014) Chunli Zhang et al.   TRIBOLOGY LETTERS

Analysis of Nanofluids as Cutting Fluid in Grinding EN-31 Steel

(2014) V. Vasu et al.   Nano-Micro Letters

Tribological behavior of nano TiO2 as an additive in base oil

(2013) Sudeep Ingole et al.   WEAR

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks

(2012) Miguel Delgado Prieto et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A review of flank wear prediction methods for tool condition monitoring in a turning process

(2012) A. Siddhpura et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Effect of fullerene black additives on boundary sliding friction of steel counterbodies lubricated with mineral oil

(2012) D. G. Tochil’nikov et al.   Journal of Friction and Wear

A practical signal processing approach for condition monitoring of low speed machinery using Peak-Hold-Down-Sample algorithm

(2012) Tian Ran Lin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Enhanced Nanoscale Friction on Fluorinated Graphene

(2012) Sangku Kwon et al.   NANO LETTERS

Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique

(2012) S. Dutta et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Tribological behavior of polyalphaolefin with the addition of nickel nanoparticles

(2010) R. Chou et al.   TRIBOLOGY INTERNATIONAL

Tribological behaviors of diamond-like carbon coatings on plasma nitrided steel using three BN-containing lubricants

(2009) Zheng-feng Jia et al.   APPLIED SURFACE SCIENCE

Influence of pH and SDBS on the Stability and Thermal Conductivity of Nanofluids

(2009) Xian-ju Wang et al.   ENERGY & FUELS

Experimental Studies of Nanofluid Droplets in Spray Cooling

(2009) Gail Duursma et al.   HEAT TRANSFER ENGINEERING

Tribological properties of diamond and SiO2 nanoparticles added in paraffin

(2009) D.X. Peng et al.   TRIBOLOGY INTERNATIONAL

Tribological property of onion-like fullerenes as lubricant additive

(2008) Yanli Yao et al.   MATERIALS LETTERS

Tool Wear Detection Based on Duffing-Holmes Oscillator

(2008) Wanqing Song et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Analysis of the structure of vibration signals for tool wear detection

(2007) F.J. Alonso et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING