4.6 Article

Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Analysis of the effects of dressing and wheel topography on grinding process under different coolant-lubricant conditions

Mohammadjafar Hadad et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)

Article Engineering, Electrical & Electronic

Digital signal processing of acoustic emission signals using power spectral density and counts statistic applied to single-point dressing operation

Wenderson Nascimento Lopes et al.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2017)

Article Engineering, Electrical & Electronic

Spectra Measurements Using Piezoelectric Diaphragms to Detect Burn in Grinding Process

Danilo M. S. Ribeiro et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)

Article Green & Sustainable Science & Technology

Dry-dressing for ecological grinding

X. Cearsolo et al.

JOURNAL OF CLEANER PRODUCTION (2016)

Proceedings Paper Engineering, Industrial

Neural networks tool condition monitoring in single-point dressing operations

Doriana M. D'Addona et al.

RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Fuzzy logic for modeling machining process: a review

M. R. H. Mohd Adnan et al.

ARTIFICIAL INTELLIGENCE REVIEW (2015)

Article Engineering, Mechanical

Tool condition monitoring of aluminum oxide grinding wheel in dressing operation using acoustic emission and neural networks

D. F. G. Moia et al.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2015)

Article Engineering, Electrical & Electronic

Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models

Cesar H. R. Martins et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2014)

Article Green & Sustainable Science & Technology

Determining optimal process parameters to increase the eco-efficiency of grinding processes

Marius Winter et al.

JOURNAL OF CLEANER PRODUCTION (2014)

Article Engineering, Chemical

Fuzzy Expected Value Analysis of an Industrial Grinding Process

Nagajyothi Virivinti et al.

POWDER TECHNOLOGY (2014)

Article Automation & Control Systems

Optimization of the dressing operation using load cells and the Taguchi method in the centerless grinding process

Alessandro Rascalha et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)

Article Engineering, Manufacturing

2D/3D ground surface topography modeling considering dressing and wear effects in grinding process

J. L. Jiang et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2013)

Article Engineering, Multidisciplinary

Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations

Yueming Liu et al.

PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY (2013)

Review Engineering, Manufacturing

Application of digital image processing in tool condition monitoring: A review

S. Dutta et al.

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2013)

Article Computer Science, Interdisciplinary Applications

A survey on industrial applications of fuzzy control

Radu-Emil Precup et al.

COMPUTERS IN INDUSTRY (2011)

Article Engineering, Electrical & Electronic

Tool Wear Monitoring Using Acoustic Emissions by Dominant-Feature Identification

Jun-Hong Zhou et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2011)

Review Engineering, Industrial

Fuzzy logic in manufacturing: A review of literature and a specialized application

Arash Azadegan et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2011)

Article Engineering, Electrical & Electronic

Fuzzy pattern recognition of impact acoustic signals for nondestructive evaluation

S. X. Liu et al.

SENSORS AND ACTUATORS A-PHYSICAL (2011)

Article Computer Science, Artificial Intelligence

An Adaptive Neuro-Fuzzy Inference System modeling for material removal rate in stationary ultrasonic drilling of sillimanite ceramic

Simranpreet Singh Gill et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Engineering, Mechanical

Sharpness of abrasive particles and surfaces

DV De Pellegrin et al.

Article Engineering, Manufacturing

The relation between the traverse dressing of vitrified grinding wheels and their performance

AA Torrance et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2000)