Danil Yu. Pimenov
Cited by
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An Approach to Cleaner Production for Machining Hardened Steel Using Different Cooling-Lubrication Conditions
M Mia, MK Gupta, G Singh, G Królczyk, DY Pimenov
Journal of Cleaner Production 187, 1069-1081, 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
Multi-objective Optimization and Life Cycle Assessment of Eco-friendly Cryogenic N2 assisted Turning of Ti-6Al-4V
M Mia, MK Gupta, JA Lozano, D Carou, DY Pimenov, G Królczyk, ...
Journal of Cleaner Production 210, 122-133, 2019
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
Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy
MK Gupta, M Mia, GR Singh, DY Pimenov, M Sarikaya, VS Sharma
International Journal of Advanced Manufacturing Technology 101 (1-4), 55-69, 2019
Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel
AT Abbas, MK Gupta, MS Soliman, M Mia, H Hegab, M Luqman, ...
International Journal of Advanced Manufacturing Technology 105 (1-4), 1311-1327, 2019
Parametric optimization and process capability analysis for machining of nickel-based superalloy
MK Gupta, M Mia, CI Pruncu, W Kapłonek, K Nadolny, K Patra, ...
International Journal of Advanced Manufacturing Technology 102 (9-12), 3995-4009, 2019
Surface modification of Ti-6Al-4V alloy by electrical discharge coating process using partially sintered Ti-Nb electrode
C Prakash, S Singh, CI Pruncu, V Mishra, G Królczyk, DY Pimenov, ...
Materials 12 (7), 1006, 2019
Investigations of machining characteristics in the upgraded MQL-assisted turning of pure titanium alloys using evolutionary algorithms
G Singh, CI Pruncu, MK Gupta, M Mia, AM Khan, M Jamil, DY Pimenov, ...
Materials 12 (6), 999, 2019
Multi-objective optimization for grinding of AISI D2 steel with Al2O3 wheel under MQL
AM Khan, M Jamil, M Mia, DY Pimenov, VR Gasiyarov, MK Gupta, N He
Materials 11 (11), 2269, 2018
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, ĶV Tomaz, M Sarikaya, ...
Journal of Materials Research and Technology, 2021
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, 2021
Influence of different grades of CBN inserts on cutting force and surface roughness of AISI H13 die tool steel during hard turning operation
P Kumar, SR Chauhan, CI Pruncu, MK Gupta, DY Pimenov, M Mia, ...
Materials 12 (1), 177, 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
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
Effect of the relative position of the face milling tool towards the workpiece on machined surface roughness and milling dynamics
DY Pimenov, A Hassui, S Wojciechowski, M Mia, A Magri, DI Suyama, ...
Applied Sciences 9 (5), 842, 2019
ANN surface roughness optimization of AZ61 magnesium alloy finish turning: Minimum machining times at prime machining costs
AT Abbas, DY Pimenov, IN Erdakov, MA Taha, MS Soliman, MM El Rayes
Materials 11 (5), 808, 2018
Sustainable milling of Ti-6Al-4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment
M Jamil, W Zhao, N He, MK Gupta, M Sarikaya, AM Khan, S Siengchin, ...
Journal of Cleaner Production, 125374, 2021
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
Artificial intelligence monitoring of hardening methods and cutting conditions and their effects on surface roughness, performance, and finish turning costs of solid-state …
AT Abbas, DY Pimenov, IN Erdakov, MA Taha, MM El Rayes, MS Soliman
Metals 8 (6), 394, 2018
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