Danil Yu. Pimenov
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Machining characteristics based life cycle assessment in eco-benign turning of pure titanium alloy
MK Gupta, Q Song, Z Liu, CI Pruncu, M Mia, G Singh, JA Lozano, D Carou, ...
Journal of Cleaner Production 251, 119598, 2020
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
Cutting force in face milling with tool wear
VI Guzeev, DY Pimenov
Russian Engineering Research 31 (10), 989-993, 2011
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
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
International Journal of Advanced Manufacturing Technology 93 (5–8), 2375–2392, 2017
Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear
DY Pimenov, VI Guzeev, G Krolczyk, M Mia, S Wojciechowski
Precision Engineering 54, 327-337, 2018
The system can't perform the operation now. Try again later.
Articles 1–20