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Eric Dimla
Eric Dimla
University of Hertfordshire Egypt
Bestätigte E-Mail-Adresse bei gaf.edu.eg
Titel
Zitiert von
Zitiert von
Jahr
Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods
DE Dimla
International Journal of Machine Tools and Manufacture 40 (8), 1073-1098, 2000
8052000
On-line metal cutting tool condition monitoring.: I: force and vibration analyses
DE Dimla Sr, PM Lister
International Journal of Machine Tools and Manufacture 40 (5), 739-768, 2000
4032000
Design and optimisation of conformal cooling channels in injection moulding tools
DE Dimla, M Camilotto, F Miani
Journal of Materials Processing Technology 164, 1294-1300, 2005
3022005
Neural network solutions to the tool condition monitoring problem in metal cutting—a critical review of methods
DE Dimla Jr, PM Lister, NJ Leighton
International Journal of Machine Tools and Manufacture 37 (9), 1219-1241, 1997
2221997
The correlation of vibration signal features to cutting tool wear in a metal turning operation
DE Dimla
The International Journal of Advanced Manufacturing Technology 19 (10), 705-713, 2002
1762002
On-line metal cutting tool condition monitoring.: II: tool-state classification using multi-layer perceptron neural networks
DE Dimla Sr, PM Lister
International Journal of Machine Tools and Manufacture 40 (5), 769-781, 2000
1312000
Application of perceptron neural networks to tool-state classification in a metal-turning operation
DE Dimla
Engineering Applications of Artificial Intelligence 12 (4), 471-477, 1999
771999
Investigation of complex rapid EDM electrodes for rapid tooling applications
DE Dimla, N Hopkinson, H Rothe
The international journal of advanced manufacturing technology 23, 249-255, 2004
752004
The impact of cutting conditions on cutting forces and vibration signals in turning with plane face geometry inserts
DE Dimla Sr
Journal of materials processing technology 155, 1708-1715, 2004
642004
Recent advances in twist drill design for composite machining: a critical review
SO Ismail, HN Dhakal, E Dimla, I Popov
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2017
532017
Online tool condition monitoring based on parsimonious ensemble+
M Pratama, E Dimla, T Tjahjowidodo, W Pedrycz, E Lughofer
IEEE transactions on cybernetics 50 (2), 664-677, 2020
472020
Metacognitive learning approach for online tool condition monitoring
M Pratama, E Dimla, CY Lai, E Lughofer
Journal of Intelligent Manufacturing 30, 1717-1737, 2019
372019
Toward interference aware IoT framework: energy and geo-location-based-modeling
L Farhan, O Kaiwartya, L Alzubaidi, W Gheth, E Dimla, R Kharel
IEEE Access 7, 56617-56630, 2019
252019
Multivariate tool condition monitoring in a metal cutting operation using neural networks
DE Dimla
University of Wolverhampton, 1998
251998
Automatic tool state identification in a metal turning operation using MLP neural networks and multivariate process parameters
DE Dimla Jr, PM Lister, NJ Leighton
International Journal of Machine Tools and Manufacture 38 (4), 343-352, 1998
231998
A multi-sensor integration method of signals in a metal cutting operation via application of multi-layer perceptron neural networks
DE Dimia, PM Lister, NJ Leighton
IET Digital Library, 1997
211997
A review of tidal current energy resource assessment: Current status and trend
R Rosli, E Dimla
5th International Conference on Renewable Energy: Generation and …, 2018
192018
Tool-wear monitoring using cutting force measurements
DE Dimla Snr
ADVANCES IN MANUFACTURING TECHNOLOGY-CONFERENCE- 13, 33-38, 1999
181999
Design considerations of conformal cooling channels in injection moulding tools design: an overview
E Dimla
Journal of Thermal Engineering 1 (7), 627-635, 2015
142015
Artificial neural networks approach to tool condition monitoring in a metal turning operation
DE Dimla
1999 7th IEEE International Conference on Emerging Technologies and Factory …, 1999
141999
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