Danil Yurievich Pimenov

Author

Also Known As

Arunkumar Bongale, D. Yu Pimenov, D. Yu. Pimenov, D.Y. Pimenov, D.Yu. Pimenov, Daniil Yu. Pimenov, Danil Pimenov, Danil Y. Pimenov, Danil Yu Pimenov, Danil Yu. Pimenov

236

Publications

12.1K

Citations

H-Index

189

Concepts

All Affiliations

South Ural State University University of Portsmouth Shandong University AGH University of Krakow Imperial College London

About

Danil Yurievich Pimenov is an author at South Ural State University specializing in engineering, mechanical engineering, and materials science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	48	97	6.2K
2	Business	5	5	211
3	Management	4	4	139
4	Education	1	1	40
5	Medicine	1	1	22

Danil Yurievich Pimenov

165

Publications

9.5K

Citations

H-Index

Page 1

	Year	Citations
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review Danil Yurievich Pimenov, Andrés Bustillo, Szymon Wojciechowski, Journal of Intelligent Manufacturing Artificial IntelligenceEngineeringCritical ReviewTool WearAutomation	2022	315
An approach to cleaner production for machining hardened steel using different cooling-lubrication conditions Mozammel Mia, Munish Kumar Gupta, Gurraj Singh, Journal of Cleaner Production EngineeringCorrosionMaterial MachiningTool WearMechanical Engineering	2018	256
Investigations of Machining Characteristics in the Upgraded MQL-Assisted Turning of Pure Titanium Alloys Using Evolutionary Algorithms Gurraj Singh, Catalin I. Pruncu, Munish Kumar Gupta, Materials	2019	252
Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V Mozammel Mia, Munish Kumar Gupta, Jose Adolfo Lozano, Journal of Cleaner Production Chemical EngineeringEngineeringEnergy EfficiencySustainable EnergyEco-friendly Cryogenic N2	2018	214
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth Danil Yurievich Pimenov, Andrés Bustillo Journal of Intelligent Manufacturing Artificial IntelligenceAutomatic PredictionEngineeringMachine LearningIndustrial Engineering	2017	203
Predicting tool life in turning operations using neural networks and image processing Tadeusz Mikołajczyk, Krzysztof Nowicki, Andrés Bustillo, Mechanical Systems and Signal Processing Image ProcessingTechnologyEngineeringIndustrial EngineeringMaterial Machining	2017	202
Review on design and development of cryogenic machining setups for heat resistant alloys and composites Navneet Khanna, Chetan Agrawal, Danil Yurievich Pimenov, Journal of Manufacturing Processes EngineeringCryogenic Machining SetupsMechanical EngineeringCold WorkingMaterial Processing	2021	201
Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy Munish Kumar Gupta, Mozammel Mia, Gurraj Singh, The International Journal of Advanced Manufacturing Technology Materials ScienceEngineeringSustainable TurningMaterial MachiningTool Wear	2018	181
Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel Adel T. Abbas, Munish Kumar Gupta, Mahmoud S. Soliman, The International Journal of Advanced Manufacturing Technology EngineeringPower Consumption CharacteristicsMicrofabricationCorrosionMechanical Engineering	2019	163
Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment Muhammad Jamil, Wei Zhao, Ning He, Journal of Cleaner Production Materials ScienceCryogenic EnvironmentEngineeringMaterial ProcessingEnergy Efficiency	2020	158

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