| Genetic algorithm-based optimization of cutting parameters in turning processes DM D’addona, R Teti Procedia Cirp 7, 323-328, 2013 | 193 | 2013 |
| Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing DM D’Addona, AMMS Ullah, D Matarazzo Journal of Intelligent Manufacturing 28, 1285-1301, 2017 | 187 | 2017 |
| High speed machining of Inconel 718: tool wear and surface roughness analysis DM D’addona, SJ Raykar, MM Narke Procedia Cirp 62, 269-274, 2017 | 126 | 2017 |
| Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics ME Nakai, PR Aguiar, H Guillardi Jr, EC Bianchi, DH Spatti, DM D’Addona Expert Systems with Applications 42 (20), 7026-7035, 2015 | 106 | 2015 |
| Process monitoring of machining R Teti, D Mourtzis, DM D'Addona, A Caggiano CIRP Annals 71 (2), 529-552, 2022 | 94 | 2022 |
| Analysis of surface roughness in hard turning using wiper insert geometry DM D’addona, SJ Raykar Procedia CIRP 41, 841-846, 2016 | 90 | 2016 |
| Image data processing via neural networks for tool wear prediction DM D’Addona, R Teti Procedia Cirp 12, 252-257, 2013 | 89 | 2013 |
| Multi-objective optimization of high speed turning of Al 7075 using grey relational analysis SJ Raykar, DM D’Addona, AM Mane Procedia Cirp 33, 293-298, 2015 | 86 | 2015 |
| Tool wear modelling through regression analysis and intelligent methods for nickel base alloy machining C Leone, D D’Addona, R Teti CIRP Journal of Manufacturing Science and Technology 4 (3), 327-331, 2011 | 71 | 2011 |
| Monitoring systems for zero defect manufacturing S Ferretti, D Caputo, M Penza, DM D’Addona Procedia CIRP 12, 258-263, 2013 | 63 | 2013 |
| ANN tool wear modelling in the machining of nickel superalloy industrial products D D’Addona, T Segreto, A Simeone, R Teti CIRP Journal of Manufacturing Science and Technology 4 (1), 33-37, 2011 | 61 | 2011 |
| Spectra measurements using piezoelectric diaphragms to detect burn in grinding process DMS Ribeiro, PR Aguiar, LFG Fabiano, DM D’Addona, FG Baptista, ... IEEE Transactions on Instrumentation and Measurement 66 (11), 3052-3063, 2017 | 58 | 2017 |
| Online prediction of cutting tool life in turning via cognitive decision making S Karam, P Centobelli, DM D’Addona, R Teti Procedia Cirp 41, 927-932, 2016 | 58 | 2016 |
| Neural networks tool condition monitoring in single-point dressing operations DM D’Addona, D Matarazzo, PR De Aguiar, EC Bianchi, CHR Martins Procedia CIRP 41, 431-436, 2016 | 52 | 2016 |
| Adaptive automation and human factors in manufacturing: An experimental assessment for a cognitive approach DM D’Addona, F Bracco, A Bettoni, N Nishino, E Carpanzano, ... CIRP Annals 67 (1), 455-458, 2018 | 50 | 2018 |
| Characterization and modelling of the grinding process of metal matrix composites A Di Ilio, A Paoletti, D D’Addona CIRP annals 58 (1), 291-294, 2009 | 42 | 2009 |
| Thermal modeling of tool temperature distribution during high pressure coolant assisted turning of Inconel 718 DM D’Addona, SJ Raykar Materials 12 (3), 408, 2019 | 41 | 2019 |
| Microbial-based cutting fluids as bio-integration manufacturing solution for green and sustainable machining R Teti, DM D’Addona, T Segreto CIRP Journal of Manufacturing Science and Technology 32, 16-25, 2021 | 40 | 2021 |
| Identification of critical key parameters and their impact to zero-defect manufacturing in the investment casting process M Di Foggia, DM D’Addona Procedia Cirp 12, 264-269, 2013 | 40 | 2013 |
| Tool wear estimation in turning of Inconel 718 based on wavelet sensor signal analysis and machine learning paradigms T Segreto, D D’Addona, R Teti Production Engineering 14 (5), 693-705, 2020 | 39 | 2020 |
