Пименов Данил Юрьевич

Старший преподаватель (-) — Кафедра «Технологии автоматизированного машиностроения»

Рабочий телефон:

(351) 267-92-73, доб. 8 (351) 263-58-82

E-mail:

pimenovdi[at]susu[dot]ru

Сайт:

scholar.google.ru/citations?user=T4l3-a8AAAAJ&hl=ru

Индекс Хирша:

РИНЦ 38

Scopus 43

Web of Science 39

Знание иностранных языков:

Немецкий, Английский

Научные интересы:

Research interests include improving operational efficiency of machining on CNC machines, taking into account the tool wear, mathematical modelling using finite element method, optimization of cutting conditions, use of artificial intelligence. I am open for cooperation. ORCID ID: http://orcid.org/0000-0002-5568-8928

Научные профили:

РИНЦ: SPIN-код 3438-6573, Author ID 565054

ORCID: 0000-0002-5568-8928

Scopus ID: 53985024000

Web of Science ResearcherID: D-9048-2013

Google: scholar.google.ru/citations?user=T4l3-a8AAAAJ&hl=en

Researchgate: www.researchgate.net/profile/Danil_Pimenov

Статьи и монографии за последние три года:

A Review of Optimization and Measurement Techniques of the Friction Stir Welding (FSW) Process / D.A. Prabhakar //Journal of Manufacturing and Materials Processing.–2023.–Vol. 7 No. 5

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review / Pimenov, D.Y //Journal of Intelligent Manufacturing.–2023.–Vol. 34 No. 5.– P.2079-2121

Development of the hardness, three-point bending, and wear behavior of self-lubricating Cu-5Gr/Al2O3-Cr3C2 hybrid composites / S.. Şap //Journal of Composite Materials.–2023.–Vol. 57 No. 8.– P.1395-1409

Influence of selective laser melting process parameters on the surface integrity of difficult-to-cut alloys: comprehensive review and future prospects / Pimenov, D.Y //International Journal of Advanced Manufacturing Technology.–2023.–Vol. 127 No. 3-4.– P.1071-1102

Process monitoring of the AISI D6 steel turning using artificial neural networks / V.H. Rubin //International Journal of Advanced Manufacturing Technology.–2023.–Vol. 127 No. 7-8.– P.3569-3584

Review of improvement of machinability and surface integrity in machining on aluminum alloys / Pimenov, D.Y //International Journal of Advanced Manufacturing Technology.–2023.–Vol. 129 No. 11-12.– P.4743-4779

Theoretical and experimental research of edge inclination angle effect on minimum uncut chip thickness in oblique cutting of C45 steel / T.. Mikołajczyk //International Journal of Advanced Manufacturing Technology.–2023.–Vol. 124 No. 7-8.– P.2299-2312

A Comparative Study to Predict Bearing Degradation Using Discrete Wavelet Transform (DWT), Tabular Generative Adversarial Networks (TGAN) and Machine Learning Models / K.. Bhavsar //Machines.–2022.–Vol. 10 No. 3

A Comprehensive Review of Friction Stir Techniques in Structural Materials and Alloys: Challenges and Trends / D.A. Prabhakar //Journal of Materials Research and Technology.–2022.–Vol. 20.– P.3025-3060

A short review on thermal treatments of Titanium & Nickel based alloys processed by selective laser melting / M.E. Korkmaz //Journal of Materials Research and Technology.–2022.–Vol. 16.– P.1090-1101

A Soft Computing-Based Analysis of Cutting Rate and Recast Layer Thickness for AZ31 Alloy on WEDM Using RSM-MOPSO / K.K. Goyal //Materials.–2022.–Vol. 15 No. 2

Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends / R.. Binali //Measurement: Journal of the International Measurement Confederation.–2022.–Vol. 201

Application of Measurement Systems in Tool Condition Monitoring of Milling: A Review of measurement science approach / Pimenov, D.Y //Measurement: Journal of the International Measurement Confederation.–2022.–Vol. 199

Assessment of Hole Quality, Thermal Analysis, and Chip Formation during Dry Drilling Process of Gray Cast Iron ASTM A48 / N.. Habib //Eng.–2022.–Vol. 3 No. 3.– P.301-310

Coaxiality error analysis and optimization of cylindrical parts of CNC turning process / R.. Rangappa //International Journal of Advanced Manufacturing Technology.–2022.–Vol. 120 No. 9-10.– P.6617-6634

Determination of machinability metrics of AISI 5140 steel for gear manufacturing using different cooling/lubrication conditions / Ü.A. Usca //Journal of Materials Research and Technology.–2022.–Vol. 21.– P.893-904

Development of an Oxide Layer on Al 6061 Using Plasma Arc Electrolytic Oxidation in Silicate-Based Electrolyte / P.. Jadhav //Materials.–2022.–Vol. 15 No. 4

Dubey, V.. Prediction of Surface Roughness Using Machine Learning Approach in MQL Turning of AISI 304 Steel by Varying Nanoparticle Size in the Cutting Fluid / V.. Dubey, A.K. Sharma, D.Y. Pimenov //Lubricants.–2022.–Vol. 10 No. 5

Effect of Fibre Orientation on Impact Damage Resistance of S2/FM94 Glass Fibre Composites for Aerospace Applications: An Experimental Evaluation and Numerical Validation / K.. Giasin //Polymers.–2022.–Vol. 14 No. 1

Effect of mixing method and particle size on hardness and compressive strength of aluminium based metal matrix composite prepared through powder metallurgy route / A.M. Sankhla //Journal of Materials Research and Technology.–2022.–Vol. 18.– P.282-292

Evaluation of Mechanical and Tribological Aspect of Self-Lubricating Cu-6Gr Composites Reinforced with SiC–WC Hybrid Particles / Ü.A. Usca //Nanomaterials.–2022.–Vol. 12 No. 13

Evaluation of the Mechanical Properties and Drilling of Glass Bead/Fiber-Reinforced Polyamide 66 (PA66)-Based Hybrid Polymer Composites / R.. Demirsöz //Materials.–2022.–Vol. 15 No. 8

Experimental Investigation of Effect of Fiber Length on Mechanical, Wear, and Morphological Behavior of Silane-Treated Pineapple Leaf Fiber Reinforced Polymer Composites / P.B. Anand //Fibers.–2022.–Vol. 10 No. 7

Experimental investigation on the effect of dry and multi-jet cryogenic cooling on the machinability and hole accuracy of CFRP composites / C.. Agrawal //Journal of Materials Research and Technology.–2022.–Vol. 18.– P.1772-1783

Experimental Investigations and Effect of Nano-Powder-Mixed EDM Variables on Performance Measures of Nitinol SMA / R.. Chaudhari //Materials.–2022.–Vol. 15 No. 20

Experimental investigations and prediction of WEDMed surface of Nitinol SMA using SinGAN and DenseNet deep learning model / V.. Vakharia //Journal of Materials Research and Technology.–2022.–Vol. 18.– P.325-337

Hand and Abrasive Flow Polished Tungsten Carbide Die: Optimization of Surface Roughness, Polishing Time and Comparative Analysis in Wire Drawing / R.. Kumar //Materials.–2022.–Vol. 15 No. 4

Improving the accuracy of machine-learning models with data from machine test repetitions / A.. Bustillo //Journal of Intelligent Manufacturing.–2022

In Situ Micro-Observation of Surface Roughness and Fracture Mechanism in Metal Microforming of Thin Copper Sheets with Newly Developed Compact Testing Apparatus / M.. Singh //Materials.–2022.–Vol. 15 No. 4

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review / M.E. Korkmaz //International Journal of Advanced Manufacturing Technology.–2022.–Vol. 120 No. 11-12.– P.7043-7078

Investigation of machinability of Ti–B-SiCp reinforced Cu hybrid composites in dry turning / S.. Şap //Journal of Materials Research and Technology.–2022.–Vol. 18.– P.1474-1487

Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites / S.. Şap //Lubricants.–2022.–Vol. 10 No. 4

Joining of Dissimilar Al and Mg Metal Alloys by Friction Stir Welding / R.S. Sidhu //Materials.–2022.–Vol. 15 No. 17

Machining of Carbon Steel under Aqueous Environment: Investigations into Some Performance Measures / M.. Ali //Coatings.–2022.–Vol. 12 No. 8

Machining parameter optimization and experimental investigations of nano-graphene mixed electrical discharge machining of nitinol shape memory alloy / J.. Vora //Journal of Materials Research and Technology.–2022.–Vol. 19.– P.653-668

Mechanistic modeling of cutting forces in high-speed microturning of titanium alloy with consideration of nose radius / K.. Aslantas //International Journal of Advanced Manufacturing Technology.–2022.–Vol. 119 No. 3-4.– P.2393-2408

Multi-Response Optimization of Al2 O3 Nanopowder-Mixed Wire Electrical Discharge Machining Process Parameters of Nitinol Shape Memory Alloy / R.. Chaudhari //Materials.–2022.–Vol. 15 No. 6

One Factor at a Time Analysis to Modify Potting Technique for Manufacturing of Bubble-Free High-Voltage Polyester Insulated Automotive Coils / A.. Nawaz //Designs.–2022.–Vol. 6 No. 3

Optimization of Bead Morphology for GMAW-Based Wire-Arc Additive Manufacturing of 2.25 Cr-1.0 Mo Steel Using Metal-Cored Wires / J.. Vora //Applied Sciences (Switzerland).–2022.–Vol. 12 No. 10

Parametric Optimization and Influence of Near‐Dry WEDM Variables on Nitinol Shape Memory Alloy / R.. Chaudhari //Micromachines.–2022.–Vol. 13 No. 7

Performance of MQL and Nano-MQL Lubrication in Machining ER7 Steel for Train Wheel Applications / K.Y. Çamlı //Lubricants.–2022.–Vol. 10 No. 4

Recent Advances in Bipedal Walking Robots: Review of Gait, Drive, Sensors and Control Systems / T.. Mikolajczyk //Sensors.–2022.–Vol. 22 No. 12

Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects / Danil, Y.P //Renewable and Sustainable Energy Reviews.–2022.–Vol. 166

Sahoo, P.. Enhancement of micro milling performance by abrasion-resistant coated tools with optimized thin-film thickness: analytical and experimental characterization / P.. Sahoo, K.. Patra, D.Y. Pimenov //International Journal of Advanced Manufacturing Technology.–2022.–Vol. 120 No. 5-6.– P.2993-3015

Synthesis and characterization of mechanically alloyed nanostructured ternary titanium based alloy for bio-medical applications / N.B. Pradeep //Journal of Materials Research and Technology.–2022.–Vol. 16.– P.88-101

Tool life prognostics in CNC turning of AISI 4140 steel using neural network based on computer vision / P.J. Bagga //International Journal of Advanced Manufacturing Technology.–2022.–Vol. 123 No. 9-10.– P.3553-3570

Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models / M.. Shah //International Journal of Advanced Manufacturing Technology.–2022.–Vol. 121 No. 1-2.– P.723-736

Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based ceramic matrix composites / Ü.A. Usca //Journal of Materials Research and Technology.–2022.–Vol. 16.– P.1243-1259

Tribological and surface morphological characteristics of titanium alloys: a review / M.K. Gupta //Archives of Civil and Mechanical Engineering.–2022.–Vol. 22 No. 2

A review of indirect tool condition monitoring systems and decision‐making methods in turning: Critical analysis and trends / M.. Kuntoğlu //Sensors.–2021.–Vol. 21 No. 1

A review on conventional and advanced minimum quantity lubrication approaches on performance measures of grinding process / M.K. Gupta //International Journal of Advanced Manufacturing Technology.–2021.–Vol. 117 No. 3-4.– P.729-750

A state-of-the-art review on sensors and signal processing systems in mechanical machining processes / M.. Kuntoğlu //International Journal of Advanced Manufacturing Technology.–2021.–Vol. 116 No. 9-10.– P.2711-2735

A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys / M.. Sarıkaya //CIRP Journal of Manufacturing Science and Technology.–2021.–Vol. 35.– P.624-658

An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach / V.. Tripathi //Sustainability.–2021.–Vol. 13 No. 21

An Innovative Agile Model of Smart Lean–Green Approach for Sustainability Enhancement in Industry 4.0 / V.. Tripathi //Journal of Open Innovation: Technology, Market, and Complexity.–2021.–Vol. 7 No. 4

An ultrasonic-based detection of air-leakage for the unclosed components of aircraft / Y.. Lyu //Aerospace.–2021.–Vol. 8 No. 2

Analysis and Optimization of Dimensional Accuracy and Porosity of High Impact Polystyrene Material Printed by FDM Process: PSO, JAYA, Rao, and Bald Eagle Search Algorithms / M.G. Chandrashekarappa //Materials.–2021.–Vol. 14 No. 23

Analysis of Hole Quality and Chips Formation in the Dry Drilling Process of Al7075-T6 / N.. Habib //Metals.–2021.–Vol. 11 No. 6

Analysis of sensitization in austenitic stainless steel-welded joint / H.. Arora //Lecture Notes in Mechanical Engineering.–2021.–Vol. 2021.– P.13-23

Application of type-2 fuzzy AHP-ARAS for selecting optimal WEDM parameters / B.. Sen //Metals.–2021.–Vol. 11 No. 1

Assessment of the Technological Quality of X5CRNI18-10 Steel Parts after Laser and Abrasive Water Jet Cutting Using Synthetic Index of Technological Quality / M.. Romanowski //Materials.–2021.–Vol. 14 No. 17

Between-the-holes cryogenic cooling of the tool in hole-making of Ti-6Al-4V and CFRP / A.. Iqbal //Materials.–2021.–Vol. 14 No. 4

Cooling techniques to improve the machinability and sustainability of light-weight alloys: A state-of-the-art review / M.. Sarikaya //Journal of Manufacturing Processes.–2021.–Vol. 62.– P.179-201

Corrosion behaviour of high-strength Al 7005 alloy and its composites reinforced with industrial waste-based fly ash and glass fibre: Comparison of stir cast and extrusion conditions / P.K. Swamy //Materials.–2021.–Vol. 14 No. 14

Corrosion Resistance and Surface Bioactivity of Ti6Al4V Alloy after Finish Turning under Ecological Cutting Conditions / K.. Leksycki //Materials.–2021.–Vol. 14 No. 22

Cubic Lattice Structures of Ti6Al4V under Compressive Loading: Towards Assessing the Performance for Hard Tissue Implants Alternative / S.. Dhiman //Materials.–2021.–Vol. 14 No. 14

Development and testing of a high-frequency dynamometer for high-speed milling process / Y.. Lyu //Machines.–2021.–Vol. 9 No. 1

Effect of ball-milling process parameters on mechanical properties of Al/Al2O3/collagen powder composite using statistical approach / S.P. Dwivedi //Journal of Materials Research and Technology.–2021.–Vol. 15.– P.2918-2932

Effect of Cryogenic Grinding on Fatigue Life of Additively Manufactured Maraging Steel / A.S. Balan //Materials.–2021.–Vol. 14 No. 5

Effect of cutting parameters and tool geometry on the performance analysis of one-shot drilling process of aa2024-t3 / M.. Aamir //Metals.–2021.–Vol. 11 No. 6

Effect of Seawater Ageing on Fracture Toughness of Stitched Glass Fiber/Epoxy Laminates for Marine Applications / A.. Hassan //Journal of Marine Science and Engineering.–2021.–Vol. 9 No. 2

Effect of tool coating and cutting parameters on surface roughness and burr formation during micromilling of inconel 718 / A.. Muhammad //Metals.–2021.–Vol. 11 No. 1

Effectiveness Improvement in Manufacturing Industry

Trilogy Study and Open Innovation Dynamics / A.. Tayal //Journal of Open Innovation: Technology, Market, and Complexity.–2021.–Vol. 7 No. 1

Effects of calcium-treatment of a plastic injection mold steel on the tool wear and power consumption in slot milling / J.C. Milana //Journal of Materials Research and Technology.–2021.–Vol. 13.– P.1103-1114

Electrodeposition Based Preparation of Zn–Ni Alloy and Zn–Ni–WC Nano-Composite Coatings for Corrosion-Resistant Applications / C.M. Kumar //Coatings.–2021.–Vol. 11 No. 6

Elucidating the effect of step cooling heat treatment on the properties of 2.25 cr–1.0 mo steel welded with a combination of GMAW techniques incorporating metal-cored wires / S.. Das //Materials.–2021.–Vol. 14 No. 20

Environment and economic burden of sustainable cooling/lubrication methods in machining of Inconel-800 / Gupta, M.K //Journal of Cleaner Production.–2021.–Vol. 287

Ercetin, A.. Microstructure, mechanical, and corrosion behavior of al2o3 reinforced mg2zn matrix magnesium composites / A.. Ercetin, D.Y. Pimenov //Materials.–2021.–Vol. 14 No. 17

Establishing the Relationship between Cutting Speed and Output Parameters in Belt Grinding on Steels, Aluminum and Nickel Alloys: Development of Recommendations / Syreyshchikova, N.V //Materials.–2021.–Vol. 14 No. 8

Evaluation of Cutting-Tool Coating on the Surface Roughness and Hole Dimensional Tolerances during Drilling of Al6061-T651 Alloy / H.A. Al-Tameemi //Materials.–2021.–Vol. 14 No. 7

Experimental Analysis and Optimization of EDM Parameters on HcHcr Steel in Context with Different Electrodes and Dielectric Fluids Using Hybrid Taguchi-Based PCA-Utility and CRITIC-Utility Approaches / M.G. Chandrashekarappa //Metals.–2021.–Vol. 11 No. 3

Experimental Investigation and Optimization of Compression Moulding Parameters for MWCNT/Glass/Kevlar/Epoxy Composites on Mechanical and Tribological Properties / H.. Rangaswamy //Journal of Materials Research and Technology.–2021.–Vol. 15.– P.327-341

Experimental investigation of selective laser melting parameters for higher surface quality and microhardness properties: taguchi and super ranking concept approaches / R.. Sheshadri //Journal of Materials Research and Technology.–2021.–Vol. 14.– P.2586-2600

Experimental investigation on welding of 2.25 Cr-1.0 Mo steel with regulated metal deposition and GMAW technique incorporating metal-cored wires / S.. Das //Journal of Materials Research and Technology.–2021.–Vol. 15.– P.1007-1016

Experimental investigations and optimization of MWCNTs-mixed WEDM process parameters of nitinol shape memory alloy / R.. Chaudhari //Journal of Materials Research and Technology.–2021.–Vol. 15.– P.2152-2169

Experimental Investigations and Pareto Optimization of Fiber Laser Cutting Process of Ti6Al4V / J.. Vora //Metals.–2021.–Vol. 11 No. 9

Extrusion-based 3d printing of ceramic pastes: Mathematical modeling and in situ shaping retention approach / F.. Hu //Materials.–2021.–Vol. 14 No. 5

Hybrid Model for Calculating Quality Costs / Syreyshchikova, N.V //Russian Engineering Research.–2021.–Vol. 41 No. 4.– P.382-386

Image Processing of Mg-Al-Sn Alloy Microstructures for Determining Phase Ratios and Grain Size and Correction with Manual Measurement / A.. Ercetin //Materials.–2021.–Vol. 14 No. 7

Improvement of machinability of Ti and its alloys using cooling-lubrication techniques: A review and future prospect / Pimenov, D.Y //Journal of Materials Research and Technology.–2021.–Vol. 11.– P.719-753

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM / K.. Fuse //Materials.–2021.–Vol. 14 No. 23

Investigation on Mechanical, Tribological and Microstructural properties of Al-Mg-Si-T6/SiC/Muscovite-hybrid metal-matrix composites for high strength applications / S.. Sharma //Journal of Materials Research and Technology.–2021.–Vol. 12.– P.1564-1581

Investigation on microstructure, mechanical, and tribological performance of Cu base hybrid composite materials / S.. Şap //Journal of Materials Research and Technology.–2021.–Vol. 15.– P.6990-7003

Investigations on Quality Characteristics in Gas Tungsten Arc Welding Process using Artificial Neural Network Integrated with Genetic Algorithm / I.. Tomaz //International Journal of Advanced Manufacturing Technology.–2021

Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth / A.. Bustillo //Journal of Intelligent Manufacturing.–2021

Machining and Machinability of Fiber Reinforced Polymer Composites / M.K. Gupta [и др.].– Springer, 2021.–18c.

Managing Risks in the Improved Model of Rolling Mill Loading: A Case Study / Syreyshchikova, N.V //Journal of Risk and Financial Management.–2021.–Vol. 14 No. 8

Measurement of micro burr and slot widths through image processing: Comparison of manual and automated measurements in micro‐milling / F.. Akkoyun //Sensors.–2021.–Vol. 21 No. 13

Methodology for Evaluating the Cutting Force of Planar Technical Blades Used in Flatfish Processing / B.. Zieliński //Micromachines.–2021.–Vol. 12 No. 12

Microstructure and machinability evaluation in micro milling of selective laser melted Inconel 718 alloy / H.. Ji //Journal of Materials Research and Technology.–2021.–Vol. 14.– P.348-362

Modeling and Optimization in Manufacturing: Toward Greener Production by Integrating Computer Simulation / M.K. Gupta [и др.].– Wiley-VCH, 2021.–22c.

Modelling and Analysis of Surface Evolution on Turning of Hard-to-Cut CLARM 30NiCrMoV14 Steel Alloy / S.M. Raza //Metals.–2021.–Vol. 11 No. 11

Numerical Investigation of Microchannel Heat Sink with Trefoil Shape Ribs / S.. Ali //Energies.–2021.–Vol. 14 No. 20

Operational Wear Resistance of a Grinding Belt / Syreyshchikova, N.V //Russian Engineering Research.–2021.–Vol. 41 No. 2.– P.157-161

Optimization and modeling of material removal rate in wire‐edm of silicon particle reinforced al6061 composite / D.. Doreswamy //Materials.–2021.–Vol. 14 No. 21

Optimization of Activated Tungsten Inert Gas Welding Process Parameters Using Heat Transfer Search Algorithm: With Experimental Validation Using Case Studies / J.. Vora //Metals.–2021.–Vol. 11 No. 6

Optimization of Process Control Parameters for WEDM of Al-LM25/Fly Ash/B4C Hybrid Composites Using Evolutionary Algorithms: A Comparative Study / N.. Lenin //Metals.–2021.–Vol. 11 No. 7

Optimization Study on Surface Roughness and Tribological Behavior of Recycled Cast Iron Reinforced Bronze MMCs Produced by Hot Pressing / A.. Güneş //Materials.–2021.–Vol. 14 No. 12

Parametric optimization for cutting forces and material removal rate in the turning of aisi 5140 / M.. Kuntoğlu //Machines.–2021.–Vol. 9 No. 5

Parametric optimization for improving the machining process of cu/mo‐sicp composites produced by powder metallurgy / E.. Şap //Materials.–2021.–Vol. 14 No. 8

Performance assessment of minimum quantity castor-palm oil mixtures in hard-milling operation / B.. Sen //Materials.–2021.–Vol. 14 No. 1

Prediction of Tool Shape in Electrical Discharge Machining of EN31 Steel Using Machine Learning Techniques / A.S. Walia //Metals.–2021.–Vol. 11 No. 11

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals / P.S. Ghosh //Applied Sciences (Switzerland).–2021.–Vol. 11 No. 13

Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study / A.S. Sidhu //Energies.–2021.–Vol. 14 No. 16

Product Quality Planning in Laser Metal Processing Based on Open Innovation Using Quality Function Deployment / Syreyshchikova, N.V //Journal of Open Innovation: Technology, Market, and Complexity.–2021.–Vol. 7 No. 4

Relationship between Pressure and Output Parameters in Belt Grinding of Steels and Nickel Alloy / Syreyshchikova, N.V //Materials.–2021.–Vol. 14 No. 16

Review on design and development of cryogenic machining setups for heat resistant alloys and composites / N.. Khanna //Journal of Manufacturing Processes.–2021.–Vol. 68.– P.398-422

Rice straw burning: a review on its global prevalence and the sustainable alternatives for its effective mitigation / G.. Singh //Environmental Science and Pollution Research.–2021.–Vol. 28 No. 25.– P.32125-32155

Shaft hoist rope wear condition as a diagnostic signal / E.. Mańka //MATEC Web of Conferences.–2021.–Vol. 332

Skull Thickness Calculation Using Thermal Analysis and Finite Elements / M.. Calisan //Applied Sciences (Switzerland).–2021.–Vol. 11 No. 21

Study of a Multicriterion Decision-Making Approach to the MQL Turning of AISI 304 Steel Using Hybrid Nanocutting Fluid / V.. Dubey //Materials.–2021.–Vol. 14 No. 23

Surface Roughness Evaluation in Thin EN AW-6086-T6 Alloy Plates after Face Milling Process with Different Strategies / D.. Chuchala //Materials.–2021.–Vol. 14 No. 11

Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment / M.. Jamil //Journal of Cleaner Production.–2021.–Vol. 281

The effect of cryogenic machining of S2 glass fibre composite on the hole form and dimensional tolerances / U.. Koklu //International Journal of Advanced Manufacturing Technology.–2021.–Vol. 115 No. 1-2.– P.125-140

The effect of zn and zn–wo3 composites nano-coatings deposition on hardness and corrosion resistance in steel substrate / C.P. Kumar //Materials.–2021.–Vol. 14 No. 9

The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel / E.. Salur //Metals.–2021.–Vol. 11 No. 11

The effects of through tool cryogenic machining on the hole quality in GLARE® fibre metal laminates / K.. Giasin //Journal of Manufacturing Processes.–2021.–Vol. 64.– P.996-1012

Tomaz Italo Additive and Subtractive Manufacturing of Composites / Tomaz Italo, M.K. Gupta, Д.Ю. Пименов. Springer, 2021.–255c.

Towards Analysis and Optimization for Contact Zone Temperature Changes and Specific Wear Rate of Metal Matrix Composite Materials Produced from Recycled Waste / A.. Güneş //Materials.–2021.–Vol. 14 No. 18

Tribological Aspects, Optimization and Analysis of Cu-B-CrC Composites Fabricated by Powder Metallurgy / Ü.A. Usca //Materials.–2021.–Vol. 14 No. 15

Tribological performance based machinability investigations in cryogenic cooling assisted turning of α-β titanium Alloy / Gupta, M.K //Tribology International.–2021.–Vol. 160

Value Stream Maps in Clock Production / Syreyshchikova, N.V //Russian Engineering Research.–2021.–Vol. 41 No. 4.– P.378-381

Комбинированная модель расчета затрат на качество / Н.В. Сырейщикова //СТИН (***англ. Russian Engineering Research).–2021.–Том 1.– C.39-44

Освоение VSM-метода для технологического процесса изготовления продукции часового производства / Н.В. Сырейщикова //СТИН (***англ. Russian Engineering Research).–2021 № 1.– C.35-39

A Study on the Machinability of Steels and Alloys to Develop Recommendations for Setting Tool Performance Characteristics and Belt Grinding Modes / Syreyshchikova, N.V //Materials.–2020.–Vol. 13 No. 18

Artificial intelligence based hole quality prediction in micro-drilling using multiple sensors / J.. Ranjan //Sensors.–2020.–Vol. 20 No. 3

Automation of Production Activities of an Industrial Enterprise based on the ERP System / Syreyshchikova, N.V //Procedia Manufacturing.–2020.–Vol. 46.– P.525-532

Comparative study on the Mechanical, Tribological, Morphological and Structural properties of vortex casting processed, Al-SiC-Cr hybrid metal matrix composites for high strength wear-resistant applications: Fabrication and characterizations / K.. Jatinder //Journal of Materials Research and Technology.–2020.–Vol. 9 No. 6.– P.13607-13615

Development of a Risk Management Technique in Strategic Planning of Universities. Case study of a Polytechnical Institute / Syreyshchikova, N.V //Procedia Manufacturing.–2020.–Vol. 46.– P.256-262

Dimensional Analysis of Workpieces Machined Using Prototype Machine Tool Integrating 3D Scanning, Milling and Shaped Grinding / P.. Jaskólski //Materials.–2020.–Vol. 13 No. 24

Empirical Investigations during WEDM of Ni-27Cu-3.15Al-2Fe-1.5Mn Based Superalloy for High Temperature Corrosion Resistance Applications / V.. Aggarwal //Materials.–2020.–Vol. 13 No. 16

Energy-Based Novel Quantifiable Sustainability Value Assessment Method for Machining Processes / A.M. Khan //Energies.–2020.–Vol. 13 No. 22

High-accuracy 3D optical profilometry for analysis of surface condition of modern circulated coins / K.. Kapłonek //Materials.–2020.–Vol. 13 No. 23

Influence of the main cutting edge angle value on minimum uncut chip thickness during turning of C45 steel / T.. Mikołajczyk //Journal of Manufacturing Processes.–2020.–Vol. 57.– P.354-362

Influence of Variable Radius of Cutting Head Trajectory on Quality of Cutting Kerf in the Abrasive Water Jet Process for Soda–Lime Glass / M.. Sutowska //Materials.–2020.–Vol. 13 No. 19

Influences of TiAlN coating and limiting angles of flutes on prediction of cutting forces and dynamic stability in micro milling of die steel (P-20) / P.. Sahoo //Journal of Materials Processing Technology.–2020.–Vol. 278 No. -

Internal cylindrical grinding process of INCONEL® alloy 600 using grinding wheels with sol-gel alumina and a synthetic organosilicon polymer-based impregnate / W.. Kapłonek //Micromachines.–2020.–Vol. 11 No. 2

Investigations of surface quality and energy consumption associated with costs and material removal rate during face milling of AISI 1045 steel / Pimenov, D.Y //International Journal of Advanced Manufacturing Technology.–2020.–Vol. 107 No. 7-8.– P.3511-3525

Kapłonek, W.. Characterization of magnetoelectropolished stainless steel surfaces’ texture by using the angle-resolved scattering and image processing analysis methods / W.. Kapłonek, K.. Rokosz, D.Y. Pimenov //Metals.–2020.–Vol. 10 No. 8.– P.1-15

Machine Learning Modelling and Feature Engineering in Seismology Experiment / M.N. Brykov //Sensors.–2020.–Vol. 20 No. 15

Machining characteristics based life cycle assessment in eco-benign turning of pure titanium alloy / M.K. Gupta //Journal of Cleaner Production.–2020.–Vol. 251 No. _

Mechanical Strength Enhancement of 3D Printed Acrylonitrile Butadiene Styrene Polymer Components Using Neural Network Optimization Algorithm / J.S. Chohan //Polymers.–2020.–Vol. 12 No. 10

Microstructure and properties of heat affected zone in high-carbon steel after welding with fast cooling in water / M.N. Brykov //Materials.–2020.–Vol. 13 No. 22

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 //Materials.–2020.–Vol. 13 No. 19

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 //Sensors.–2020.–Vol. 20 No. 16

Sustainability Assessment, Investigations and Modelling of Slot Milling Characteristics in Eco-benign Machining of Hardened Steel / A.P. Markopoulos //Metals.–2020.–Vol. 10 No. 12

Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method / S.. Azim //Metals.–2020.–Vol. 10 No. 10

Taguchi s/n and topsis based optimization of fused deposition modelling and vapor finishing process for manufacturing of ABS plastic parts / J.S. Chohan //Materials.–2020.–Vol. 13 No. 22

Technological Support of Abrasive Manufacturing of Products on a Flexible Basis by Evaluating Performance Indicators / Syreyshchikova, N.V //Procedia Manufacturing.–2020.–Vol. 46.– P.38-43

The role of observation-measurement methods in the surface characterization of X39Cr13 stainless-steel cutting blades used in the fish processing industry / W.. Kapłonek //Materials.–2020.–Vol. 13 No. 24

Unconventional Drive System of a 3D Printed Wheeled Mobile Robot / D.. Mrozik //Procedia Manufacturing.–2020.–Vol. 46.– P.509-516

Исследование износостойкости рабочего слоя шлифовальной ленты / Н.В. Сырейщикова //СТИН (***англ. Russian Engineering Research).–2020 № 9.– C.14-18

A Regression-Tree Multilayer-Perceptron Hybrid Strategy for the Prediction of Ore Crushing-Plate Lifetimes / М.. Хуэс-Хиль //Journal of Advanced Research.–2019.–Vol. 18 No. _.– P.173-184

Assessment of friction pair elements condition based on changes in the geometric surface structure isotropicity degree / M.. Matuszewski //MATEC Web of Conferences.–2019.–Vol. 302

Effect of Feed Rate in FSW on the Mechanical and Microstructural Properties of AA5754 Joints / M.M. El Rayes //Advances in Materials Science and Engineering.–2019.–Vol. 2019 No. -

Effect of Tensile Strain Rate on High-Temperature Deformation and Fracture of Rolled Al- 15 vol.%B4C Composite / M.S. Soliman //Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing.–2019.–Vol. 749 No. -.– P.129-136

Effect of the Relative Position of the Face Milling Tool towards the Workpiece on Machined Surface Roughness and Milling Dynamics / Pimenov, D.Y //Applied Sciences (Switzerland).–2019.–Vol. 9 No. 5

Experimental studies on MoS2-treated grinding wheel active surface condition after high-efficiency internal cylindrical grinding process of INCONEL® alloy 718 / W.. Kapłonek //Micromachines.–2019.–Vol. 10 No. 4

Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy / M.K. Gupta //International Journal of Advanced Manufacturing Technology.–2019.–Vol. 101 No. 1-4.– P.55-69

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 //Materials.–2019.–Vol. 12 No. 1

Information Safety Process Development According to ISO 27001 for an Industrial Enterprise / Syreyshchikova, N.V //Procedia Manufacturing.–2019.–Vol. 32 No. _.– P.278-285

Investigations of Machining Characteristics in the Upgraded MQL-Assisted Turning of Pure Titanium Alloys Using Evolutionary Algorithms / G.. Singh //Materials.–2019.–Vol. 12 No. 6

Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V / M.. Mia //Journal of Cleaner Production.–2019.–Vol. 210 No. -.– P.121-133

Obtaining Various Shapes of Machined Surface Using a Tool with a Multi-Insert Cutting Edge / T.. Mikolajczyk //Applied Sciences (Switzerland).–2019.–Vol. 9 No. 5

Optimization of Cutting Conditions Using Artificial Neural Networks and the Edgeworth -Pareto Method for CNC Face-Milling Operations on High-Strength Grade-H Steel / A.T. Abbas //International Journal of Advanced Manufacturing Technology.–2019.–Vol. Article in Press

Parametric optimization and process capability analysis for machining of nickel-based superalloy / M.K. Gupta //International Journal of Advanced Manufacturing Technology.–2019.–Vol. 102 No. 9-12.– P.3995-4009

SEM-based Observations and Analysis of the Green Silicon Carbide Grinding Wheel Active Surfaces after the Graphite and Silicone Impregnation Process / W.. Kaplonek //International Journal of Surface Science and Engineering.–2019.–Vol. 13 No. 2-3.– P.181-200

Surface Modification of Ti-6Al-4V Alloy by Electrical Discharge Coating Process Using Partially Sintered Ti-Nb Electrode / C.. Prakash //Materials.–2019.–Vol. 12 No. 7

Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel / A.T. Abbas //International Journal of Advanced Manufacturing Technology.–2019

Syreyshchikova, N.V Wear of a Flexible Abrasive Tool / N.V. Syreyshchikova, D.Y. Pimenov //Journal of Friction and Wear.–2019.–Vol. 40 No. 2.– P.139-145

The influence of EP/AW addition in the MQL method on the parameters of surface geometrical structure in the process of turning 316L steel / R.W. Maruda //Lecture Notes in Mechanical Engineering.–2019.–Vol. F9.– P.341-350

Сырейщикова, Н.В. Износ гибкого абразивного инструмента / Н.В. Сырейщикова, Д.Ю. Пименов //Трение и износ.–2019.–Том 40 № 2.– C.180-187

An Approach to Cleaner Production for Machining Hardened Steel Using Different Cooling-Lubrication Conditions / Mia M //Journal of Cleaner Production.–2018.–Vol. 187.– P.1069-1081

Analysis of the Deviation in a Low-Cost System for Stepless Digital Control of Conventional Lathe Spindle Speeds / T.. Mikolajczyk //Applied Sciences (Switzerland).–2018.–Vol. 9 No. 1

ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs / A.T. Abbas //Materials.–2018.–Vol. 11(5)

Artificial intelligence monitoring of hardening methods and cutting conditions and their effects on surface roughness, performance, and finish turning costs of solid-state recycled aluminum alloy 6061 chips / A.T. Abbas //Metals.–2018.–Vol. 8 No. 6

Guzeev, V.I Methodology of designing integrated technological processes for manufacturing CNC machined parts / V.I. Guzeev, D.Y. Pimenov //MATEC Web of Conferences.–2018.–Vol. 224

Innovative tools for oblique cutting / Mikolajczyk T //Procedia Manufacturing.–2018.–Vol. 22.– P.166-171

Mathematical models of changes in the surface layer of frictional pairs as a tool to optimize the wear process / M.. Matuszewski //MATEC Web of Conferences.–2018.–Vol. 182

Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear / Pimenov, D.I //Precision Engineering.–2018.–Vol. Article in press

Multi-Objective Optimization for Grinding of AISI D2 Steel with Al2O3 Wheel under MQL / A.M. Khan //Materials.–2018.–Vol. 11 No. 11

Pimenov, D.I Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth / D.I. Pimenov, Bustillo A, Mikolajczyk T //Journal of Intelligent Manufacturing.–2018.–Vol. 29 No. 5.– P.1045-1061

Predicting tool life in turning operations using neural networks and image processing / Mikołajczyk T //Mechanical Systems and Signal Processing.–2018.–Vol. 104.– P.503-513

Studies of highly filled composite based on two-component organic binder stress state in thermal stress / Erdakov, I.N //Procedia Manufacturing.–2018.–Vol. 22.– P.325-330

Syreyshchikova, N.V Fundamental research and methods of quality assurance of coated abrasive / N.V. Syreyshchikova, D.Y. Pimenov //MATEC Web of Conferences.–2018.–Vol. 224

Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels / Bustillo A //Robotics and Computer Integrated Manufacturing.–2018.–Vol. 53(10).– P.215-227

Using CAD CAM system for manufacturing of innovative cutting tool / Mikolajczyk T //Procedia Manufacturing.–2018.–Vol. 22.– P.160-165

A study of the influence of processing parameters and tool wear on elastic displacements of the technological system under face milling / Pimenov, D.I //International Journal of Advanced Manufacturing Technology.–2017.–Vol. 5.– P.1-14

Influence of structure isotropy of machined surface on the wear process / M... Matuszewski //International Journal of Advanced Manufacturing Technology.–2017.–Vol. 88 No. 9-12.– P.2477-2483

Minimization of turning time for high-strength steel with a given surface roughness using the Edgeworth–Pareto optimization method / A.T. Abbas //International Journal of Advanced Manufacturing Technology.–2017.–Vol. 93(5-8).– P.2375-2392

Modeling and analysis of temperature distribution in the multilayer metal composite structures in grinding / Pashnev, V.A //International Journal of Advanced Manufacturing Technology.–2017.–Vol. -.– P.1-14

Neural Network Approach for Automatic Image Analysis of Cutting Edge Wear / T... Mikołajczyk //Mechanical Systems and Signal Processing.–2017.–Vol. 88(5).– P.100-110

Pimenov, D.I Mathematical model of plowing forces to account for flank wear using FME modeling for orthogonal cutting scheme / D.I. Pimenov, V.I. Guzeev //International Journal of Advanced Manufacturing Technology.–2017.–Vol. 89 No. 9-12.– P.3149-3159

Syreishchikova, N.V Quality Assessment of Emery Cloth-based Abrasive Tool Using Elasticity Technological Parameter / N.V. Syreishchikova, D.I. Pimenov //Procedia Engineering.–2017.–Vol. 206.– P.1155-1160

Участие во всероссийских и региональных научных конференциях:

66-я научная конференция профессорско-преподавательского состава. Секции технических наук. Секция безопасность информационных систем (2014)

65-я научная конференция профессорско-
преподавательского состава, аспирантов и сотрудников (2013)

Участие в международных научных конференциях:

ПОЛИКОМТРИБ-2015

4-й Международная научно-практическая конференция «Научное издание международного уровня - 2015: современные тенденции в мировой практике редактирования, издания и оценки научных публикаций» (2015)

Российские патенты (включая свидетельства о регистрации программ):

УСТАНОВКА ДЛЯ ОПРЕДЕЛЕНИЯ УГЛОВОЙ ПОДАТЛИВОСТИ ШПИНДЕЛЬНОЙ ГРУППЫ ФРЕЗЕРНОГО СТАНКА

Повышение квалификации:

Прогрессивные технологии автоматизированных и роботизированных производств (260 ч., 2019 г.)

Метрологическое обеспечение производства, организация и проведение метрологических работ (280 ч., 2019 г.)

Выпускной квалификационный проект (работа) бакалавра. Магистерская диссертация. Нормоконтроль. Требования к структуре, содержанию и оформлению (72 ч., 2015 г.)

Современные тенденции в мировой практике издания научных публикаций по рациональному использовании ресурсов и энергии в металлургии (40 ч., 2015 г.)

Современные перспективы применения модального анализа для диагностирования оборудования и возможности его применения для исследования динамики резания (56 ч., 2011 г.)

Русский язык в техническом вузе: культура русской речи и основы ораторского мастерства (72 ч., 2008 г.)

Метрологическое обеспечение машиностроительного производства и современные автоматизированные средства контроля линейных и угловых параметров изделия (72 ч., 2008 г.)

Метод конечных элементов - пакет Ansys (128 ч., 2004 г.)

Педагогика и психология высшей школы (120 ч., 2003 г.)