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James Griffin
James Griffin
Assoc. Prof. of NDT and Manufacturing Engineering, Coventry University
Verified email at coventry.ac.uk
Title
Cited by
Cited by
Year
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems
J Mathew, J Griffin, M Alamaniotis, S Kanarachos, ME Fitzpatrick
Applied Soft Computing 70, 131-146, 2018
832018
Efficient truss optimization using the contrast-based fruit fly optimization algorithm
S Kanarachos, J Griffin, ME Fitzpatrick
Computers & Structures 182, 137-148, 2017
782017
Multiple classification of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming
JM Griffin, X Chen
The International Journal of Advanced Manufacturing Technology 45, 1152-1168, 2009
592009
Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals
JM Griffin, F Diaz, E Geerling, M Clasing, V Ponce, C Taylor, S Turner, ...
Mechanical Systems and Signal Processing 85, 1020-1034, 2017
332017
BeamMaker: an open hardware high-resolution digital fabricator for the masses
A Calderon, J Griffin, J Cristóbal Zagal
Rapid Prototyping Journal 20 (3), 245-255, 2014
242014
Traceability of acoustic emission measurements for a proposed calibration method–classification of characteristics and identification using signal analysis
J Griffin
Mechanical Systems and Signal Processing 50, 757-783, 2015
222015
Mechanical and thermal behaviours of grinding acoustic emission
X Chen, J Griffin, Q Liu
International journal of manufacturing technology and management 12 (1-3 …, 2007
222007
Classification of the acoustic emission signals of rubbing, ploughing and cutting during single grit scratch tests
J Griffin, X Chen
International journal of Nanomanufacturing 1 (2), 189-209, 2006
182006
Real-time simulation of neural network classifications from characteristics emitted by acoustic emission during horizontal single grit scratch tests
J Griffin, X Chen
Journal of Intelligent Manufacturing 27 (3), 507-523, 2016
172016
Real-time fuzzy-clustering and CART rules classification of the characteristics of emitted acoustic emission during horizontal single-grit scratch tests
J Griffin, X Chen
The International Journal of Advanced Manufacturing Technology 74, 481-502, 2014
172014
Diagonal complexes and the integral homology of the automorphism group of a free product
JT Griffin
Proceedings of the London Mathematical Society 106 (5), 1087-1120, 2013
162013
Understanding galling wear initiation and progression using force and acoustic emissions sensors
VV Shanbhag, BF Rolfe, JM Griffin, N Arunachalam, MP Pereira
Wear 436, 202991, 2019
152019
Characteristics of the acoustic emission during horizontal single grit scratch tests: Part 1 characteristics and identification
J Griffin, X Chen
International Journal of Abrasive Technology 2 (1), 25-42, 2009
152009
Design of chemically balanced polymer drilling fluid leads to a reduction in clay destabilization
JM Griffin, A Hayatdavoudi, A Ghalambor
SPE Drilling Engineering 1 (01), 31-42, 1986
151986
Aromatic tetra-glycidyl ether versus tetra-glycidyl amine epoxy networks: Influence of monomer structure and epoxide conversion
SR Swan, C Creighton, JM Griffin, BV Gashi, RJ Varley
Polymer 239, 124401, 2022
122022
Traceability of acoustic emission measurements for micro and macro grinding phenomena—characteristics and identification through classification of micro mechanics with …
JM Griffin
The International Journal of Advanced Manufacturing Technology 81, 1463-1474, 2015
122015
Control with micro precision in abrasive machining through the use of acoustic emission signals
F Torres, J Griffin
International Journal of Precision Engineering and Manufacturing 16, 441-449, 2015
122015
Analysis of surface roughness influence in non-destructive magnetic measurements applied to reactor pressure vessel steels
G Vértesy, A Gasparics, JM Griffin, J Mathew, ME Fitzpatrick, ...
Applied Sciences 10 (24), 8938, 2020
112020
Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective
JM Griffin, AJ Doberti, V Hernández, NA Miranda, MA Vélez
The International Journal of Advanced Manufacturing Technology 93, 811-823, 2017
112017
Chemical treatment of cuttings drilled with oil-based mud employing a laboratory simulated soil washing procedure
ML Perry, JM Griffin
SPE Health, Safety, Security, Environment, & Social Responsibility …, 2001
112001
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