| Genetic algorithm-based optimization of cutting parameters in turning processes DM D˘addona, R Teti Procedia Cirp 7, 323-328, 2013 | 183 | 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 | 170 | 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 | 122 | 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 | 95 | 2015 |
| Analysis of surface roughness in hard turning using wiper insert geometry DM D˘addona, SJ Raykar Procedia CIRP 41, 841-846, 2016 | 88 | 2016 |
| Image data processing via neural networks for tool wear prediction DM D˘Addona, R Teti Procedia Cirp 12, 252-257, 2013 | 85 | 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 | 82 | 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 | 69 | 2011 |
| 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 | 59 | 2011 |
| Monitoring systems for zero defect manufacturing S Ferretti, D Caputo, M Penza, DM D˘Addona Procedia CIRP 12, 258-263, 2013 | 57 | 2013 |
| Process monitoring of machining R Teti, D Mourtzis, DM D'Addona, A Caggiano CIRP Annals 71 (2), 529-552, 2022 | 55 | 2022 |
| 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 | 55 | 2016 |
| 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 | 52 | 2017 |
| 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 | 50 | 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 | 43 | 2018 |
| 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 | 38 | 2019 |
| 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 | 38 | 2009 |
| Analysis of surface topology in dry machining of EN-8 steel SJ Raykar, DM D˘Addona, D Kramar Procedia materials science 6, 931-938, 2014 | 36 | 2014 |
| Laser ablation of primer during the welding process of iron plate for shipbuilding industry DM D˘Addona, S Genna, A Giordano, C Leone, D Matarazzo, L Nele Procedia Cirp 33, 464-469, 2015 | 34 | 2015 |
| 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 | 34 | 2013 |
