| A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends M Kuntoğlu, A Aslan, DY Pimenov, ÜA Usca, E Salur, MK Gupta, ... Sensors 21 (1), 108, 2020 | 255 | 2020 |
| Improvement of machinability of Ti and its alloys using cooling-lubrication techniques: A review and future prospect DY Pimenov, M Mia, MK Gupta, AR Machado, ÍV Tomaz, M Sarikaya, ... Journal of materials research and technology 11, 719-753, 2021 | 227 | 2021 |
| Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth DY Pimenov, A Bustillo, T Mikolajczyk Journal of Intelligent Manufacturing 29 (5), 1045-1061, 2018 | 219 | 2018 |
| Predicting tool life in turning operations using neural networks and image processing T Mikołajczyk, K Nowicki, A Bustillo, DY Pimenov Mechanical systems and signal processing 104, 503-513, 2018 | 211 | 2018 |
| Parametric optimization and process capability analysis for machining of nickel-based superalloy MK Gupta, M Mia, CI Pruncu, W Kapłonek, K Nadolny, K Patra, ... The International Journal of Advanced Manufacturing Technology 102, 3995-4009, 2019 | 136 | 2019 |
| Modeling of cutting parameters and tool geometry for multi-criteria optimization of surface roughness and vibration via response surface methodology in turning of AISI 5140 steel M Kuntoğlu, A Aslan, DY Pimenov, K Giasin, T Mikolajczyk, S Sharma Materials 13 (19), 4242, 2020 | 134 | 2020 |
| Robotics for rehabilitation of hand movement in stroke survivors F Aggogeri, T Mikolajczyk, J O’Kane Advances in Mechanical Engineering 11 (4), 1687814019841921, 2019 | 130 | 2019 |
| Optimization and analysis of surface roughness, flank wear and 5 different sensorial data via tool condition monitoring system in turning of AISI 5140 M Kuntoğlu, A Aslan, H Sağlam, DY Pimenov, K Giasin, T Mikolajczyk Sensors 20 (16), 4377, 2020 | 121 | 2020 |
| Advanced technology for gait rehabilitation: An overview T Mikolajczyk, I Ciobanu, DI Badea, A Iliescu, S Pizzamiglio, T Schauer, ... Advances in Mechanical Engineering 10 (7), 1687814018783627, 2018 | 111 | 2018 |
| Neural network approach for automatic image analysis of cutting edge wear T Mikołajczyk, K Nowicki, A Kłodowski, DY Pimenov Mechanical Systems and Signal Processing 88, 100-110, 2017 | 105 | 2017 |
| Recent advances in bipedal walking robots: Review of gait, drive, sensors and control systems T Mikolajczyk, E Mikołajewska, HFN Al-Shuka, T Malinowski, A Kłodowski, ... Sensors 22 (12), 4440, 2022 | 83 | 2022 |
| Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels A Bustillo, DY Pimenov, M Matuszewski, T Mikolajczyk Robotics and Computer-Integrated Manufacturing 53, 215-227, 2018 | 76 | 2018 |
| CAD CAM system for manufacturing innovative hybrid design using 3D printing T Mikolajczyk, T Malinowski, L Moldovan, H Fuwen, T Paczkowski, ... Procedia Manufacturing 32, 22-28, 2019 | 72 | 2019 |
| Optimization of cutting conditions using artificial neural networks and the Edgeworth-Pareto method for CNC face-milling operations on high-strength grade-H steel AT Abbas, DY Pimenov, IN Erdakov, T Mikolajczyk, MS Soliman, ... The International Journal of Advanced Manufacturing Technology 105, 2151-2165, 2019 | 63 | 2019 |
| Minimization of turning time for high-strength steel with a given surface roughness using the Edgeworth–Pareto optimization method AT Abbas, DY Pimenov, IN Erdakov, T Mikolajczyk, EA El Danaf, MA Taha The International Journal of Advanced Manufacturing Technology 93, 2375-2392, 2017 | 50 | 2017 |
| Effect of tool coating and cutting parameters on surface roughness and burr formation during micromilling of inconel 718 A Muhammad, M Kumar Gupta, T Mikołajczyk, DY Pimenov, K Giasin Metals 11 (1), 167, 2021 | 46 | 2021 |
| Application of type-2 fuzzy AHP-ARAS for selecting optimal WEDM parameters B Sen, SAI Hussain, AD Gupta, MK Gupta, DY Pimenov, T Mikołajczyk Metals 11 (1), 42, 2020 | 46 | 2020 |
| Extrusion-based 3D printing of ceramic pastes: mathematical modeling and in situ shaping retention approach F Hu, T Mikolajczyk, DY Pimenov, MK Gupta Materials 14 (5), 1137, 2021 | 45 | 2021 |
| Between-the-holes cryogenic cooling of the tool in hole-making of Ti-6Al-4V and CFRP A Iqbal, G Zhao, J Zaini, MK Gupta, M Jamil, N He, MM Nauman, ... Materials 14 (4), 795, 2021 | 44 | 2021 |
| A study of the influence of processing parameters and tool wear on elastic displacements of the technological system under face milling DY Pimenov, VI Guzeev, T Mikolajczyk, K Patra The International Journal of Advanced Manufacturing Technology 92, 4473-4486, 2017 | 43 | 2017 |
Danil Yu. PimenovSouth Ural State UniversityПодтвержден адрес электронной почты в домене susu.ru
