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Journal of intelligent manufacturing, ISSN 0956-5515, 12/2018, Volume 29, Issue 8, pp. 1715 - 1737
Business and Management | Control, Robotics, Mechatronics | Production | Teaching–learning-based optimization algorithm | A posteriori approach | Micro-machining | Parameter optimization | Manufacturing, Machines, Tools, Processes | Sustainable machining processes | Engineering | Computer Science, Artificial Intelligence | Engineering, Manufacturing | Technology | Computer Science | Science & Technology | Technology application | Usage | Algorithms | Mathematical optimization | Machining | Multiple objective analysis | Milling (machining) | Turning (machining) | Computer simulation | Pareto optimum | Decision making | Micromachining | Pareto optimization | Optimization algorithms | Wire | Electric wire | Sorting algorithms | Software reviews | Electric discharge machining | Classification | Machine learning | Iterative methods | Laser beam cutting
Journal Article
International journal of machine tools & manufacture, ISSN 0890-6955, 02/2015, Volume 89, pp. 95 - 109
Mathematical modeling | Machining performance | Cooling techniques | Hard turning | Engineering | Engineering, Manufacturing | Technology | Engineering, Mechanical | Science & Technology | Steel | Analysis | Machining | Cutting tools | Hardening | Cooling | Tool wear | Tools | Cutting wear | Steels | Tool life
Journal Article
01/2019, ISBN 9783039213788
in situ estimation | modeling | simulation | variable pitch | X-ray diffraction | cutting edge preparation | plastic zone | flank milling | surface roughness | power consumption | cutting tool | fatigue | additive manufacturing | optimization | trochoidal step | surface topography | 45N coating | sinusoidal grid | milling | desirability approach | electrochemical discharge machining | fast simulation | Inconel 718 | secondary adhesion wear | machinability | hybrid stacks drilling | cooling rate | shape memory alloy | residual stress | diameter variation | turning | computer vision | force | workholding | on-machine monitoring | chip morphology | dry-cutting | turning machine tools | SACE-drilled hole depth | residual stresses | cryogenic machining | prime machining costs | single point incremental sheet forming | butt weld joint | dish angle | machining characteristic | 41Al0 | DSC test | segmented diamond blade | cutting tool wear | ultra-precision machining | ceramics | shape memory effect | current density | fractal dimension | crack growth rate | drilling | Huber | finite element model | analytic solution | aluminium | taguchi method | multi-objective optimization | real-time prediction | Gamma-TiAl | cutting temperature | temperature correlation through analytical modeling | EN 31 steel | 59N/Ti0 | superalloys | material-removal rate | glass machining | corner radius | thin-wall machining | vibration | GPU | titanium aluminides | minimum quantity lubrication | machining temperatures at two deformation zones | finite element method | roughness | slight materials | high computational efficiency | PVD Ti0 | dynamic | adhesive | heat transfer analysis | connections | stability | vibrations | trochoidal milling | magnesium alloys | specific cutting energy | laser-assisted machining | artificial neutral network | microscopic analysis | Milling stability | 55Al0 | topography | weight loss | modal testing | sustainable machining | dry | damping | ductile machining | Inconel® 718 | modelling | cutting edge microgeometry | electropulsing | PCD | cutting geometry | fixture | artificial neural networks | spark-assisted chemical engraving | machining | specific energy consumption | heat transfer search algorithm | material removal rate | prediction | CFRP/UNS A92024 | tool wear | titanium alloy | multi-beam laser | chip compression ratio | design of experiments | concrete | ANN | titanium | chatter | response surface methodology | machine tool | superelastic nitinol | optimal machining conditions | machine vision | steel sheet | cutting process | fracture mechanism | self-excitation | tool insert condition | induction assisted milling | hole quality | titanium alloys | microlens array | parameter identification | weld reinforcement | slow tool servo | cutting parameters | flank super abrasive machining (SAM) | stiffness properties | Mises stress | grey relational analysis | deflection | computer numerical control | grain density | surface grinding | the cutting force components | WEDM
eBook
08/2018, Manufacturing Design and Technology, ISBN 9781138744189, 254
J. Paulo Davim | Shuquan Zhang | Alessandra Caggiano | Aluminum | José Manuel Sz de Pipan | Luigi Nele | Mohammed Nouari | Abdelhadi Moufki | Turning | Andrea Ghiotti | Carlos Henrique Lauro | ENGnetBASE | Ahmad Majdi Abdul Rani | Samir Atlati | Xiangjun Tian | Titanium | MechanicalEngineeringnetBASE | Magnesium | MarÃa Villeta | Muhammad Yasir | Industrial Engineering & Manufacturing | Drilling | Jia Li | Roberto Teti | Stefania Bruschi | STMnetBASE | SCI-TECHnetBASE | Eva MarÃa Rubio Alvir | MATERIALSnetBASE | Turnad Lenggo Ginta | Metals & Alloys | Lincoln Cardoso Brandão | Mohd Danish | Hongyu Zheng | INDUSTRIALENGINEERINGnetBASE | Badis Haddag | Milling | Mechanics | José Luis Valencia
eBook
International journal of advanced manufacturing technology, ISSN 0268-3768, 4/2018, Volume 95, Issue 9, pp. 4229 - 4241
Media Management | Multi-walled carbon nanotubes (MWCNTs) | Engineering | Industrial and Production Engineering | Computer-Aided Engineering (CAD, CAE) and Design | Tool wear | Machinability | Ti–6Al–4V alloy | Mechanical Engineering | Nano-fluid | Automation & Control Systems | Engineering, Manufacturing | Technology | Science & Technology | Energy consumption | Titanium alloys | Electric power production | Analysis | Machining | Nanotubes | Performance evaluation | Additives | Turning (machining) | Military applications | Cooling effects | Industrial applications | Cutting speed | Titanium base alloys | Automotive engineering | Specific heat | Electric power generation | Power consumption | Cutting fluids | Automobile industry | Lubrication | Multi wall carbon nanotubes | Feed rate | Vegetable oils | Organic chemistry | Cutting parameters
Journal Article
6.
Full Text
Effects of hybrid Al2O3-CNT nanofluids and cryogenic cooling on machining of Ti–6Al–4V
International journal of advanced manufacturing technology, ISSN 0268-3768, 06/2019, Volume 102, Issue 9-12, pp. 3895 - 3909
Minimum quantity lubrication | Titanium alloy | Carbon Nanotube | Cryogenic CO | Hybrid nanofluid | Engineering | Automation & Control Systems | Engineering, Manufacturing | Technology | Science & Technology | Cutting tools | Surgical implants | Turning (machining) | Cutting speed | High temperature | Titanium base alloys | Tool life | Titanium alloys | Elevation | Thermal conductivity | Biocompatibility | Lubrication | Multi wall carbon nanotubes | Cutting force | Cooling | Cooling rate | Nanofluids | Cryogenic cooling | Military applications | Cooling effects | Machinability | Surface roughness | Environmental impact | Aluminum oxide | Organic chemistry | Cryogenic engineering | Levels | Feed rate | Cryogenic effects | Vegetable oils | Cutting parameters
Journal Article
Journal of materials processing technology, ISSN 0924-0136, 2007, Volume 192, pp. 204 - 211
Journal Article
2017, 1, ISBN 9781498787581, Volume 1, 176
eBook
International journal of advanced manufacturing technology, ISSN 0268-3768, 7/2018, Volume 97, Issue 5, pp. 2255 - 2292
Media Management | Industrial and Production Engineering | Machining | Machinability | Conventional machining | Micro-scale machining | Additive manufacturing | Advanced machining | Engineering | Computer-Aided Engineering (CAD, CAE) and Design | Biocompatible materials | Mechanical Engineering | Finite element analysis | Automation & Control Systems | Engineering, Manufacturing | Technology | Science & Technology | Biological products | Analysis | Production processes | 3D printing | Surgical implants | Additives | Milling (machining) | Turning (machining) | Human body | Organs | Laser beams | Hydraulic jets | Biomedical materials | Ultrasonic machining | Electric discharge machining | Prototypes | Surface properties | Biocompatibility | Bones | Abrasive jet drilling | New technology | Manufacturing | Trends | Abrasive machining | Electron beam machining | Material properties | Ion beams | Heat treating
Journal Article
International journal of advanced manufacturing technology, ISSN 0268-3768, 02/2019, Volume 100, Issue 9-12, pp. 2929 - 2943
Finite element modeling and simulation | Modeling of machining process | Tool wear | Machinability | Optimization techniques | Conventional machining | Al-MMCs | Unconventional machining | Engineering | Automation & Control Systems | Engineering, Manufacturing | Technology | Science & Technology | Neural networks | Mathematical optimization | Analysis | Machining | Turning (machining) | Electrochemical machining | Grinding mills | Response surface methodology | Machine shops | Electric wire | Optimization | Finite element method | Literature reviews | Comminution | Surface properties | Laser machining | Modelling | Computer simulation | Milling (machining) | Particulate composites | Artificial neural networks | Soft computing | Fuzzy logic | Electric discharge machining | High-speed machining | Taguchi methods | Metal matrix composites | Reinforced metals | Wear mechanisms | Mathematical models
Journal Article