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In this work a new understanding of built-up edge formation was developed by applying new methods. For the first time built-up edge formation was examined in-situ in a relevant cutting parameter range by radiographic and optical methods with high temporal resolution. Additionally sophisticated analytical techniques were applied for the ex-situ examination of the microstructure in the built-up edge. A correlation between built-up edge formation and tool wear was deduced.
dry metal cutting --- in-situ Analyse --- Aufbauschneide --- tool wear --- Trockenzerspanung --- Werkzeugverschleiß --- microstructure analysis --- in-situ analysis --- Mikrostrukturanalysebuilt-up edge
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As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
History of engineering & technology --- CNC parameters --- machining mode --- high speed --- high accuracy --- high surface quality --- five-axis linear-segment toolpath --- path smoothing --- B-spline curve-fitting --- path synchronization --- feedrate scheduling --- flute-grinding --- evolution algorithms --- wheel location and orientation --- thin-floor machining --- chatter --- magnetorheological damper --- bull-nose end mill --- tool wear monitoring --- milling --- complex part --- deep learning --- autoencoder --- deep multi-layer perceptron --- tool condition monitoring --- tool change policy --- Industry 4.0 --- machine learning --- CNN --- AI --- additive manufacturing --- thin walled machining --- dynamics --- machining cycle optimization --- multivariable tool --- stable peninsula --- homotopy perturbation method --- machining robot --- natural frequency prediction --- model optimization --- dynamic performance --- stability --- machining --- grinding --- n/a
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The work included in this book pertains to advanced abrasive and nonconventional machining processes. These processes are at the forefront of modern technology, with significant practical significance. Their importance is also made clear by the case studies that are included in the research that is presented in the book, pertaining to important materials and high-end applications. However, the particularities of these manufacturing processes need to be further investigated and the processes themselves need to be optimized. This is conducted in the presented works with significant experimental and modeling work, incorporating modern tools of analysis and measurements.
Technology: general issues --- electrical discharge machining --- surface roughness --- white layer formation --- heat affected zone --- ANOVA --- aluminum alloy Al5052 --- wire EDM --- process parameters --- Inconel 617 super alloy --- DoE --- RSM method --- Box–Behnken design --- performance measures --- material removal rate --- abrasive machining --- single-sided lapping --- tool wear --- machine learning --- burnishing process --- fatigue strength --- ship propeller --- surface layer --- surface processing --- wavelet analysis --- decomposition of signals --- honing --- honing of holes --- kinematics of honing --- automation of honing --- abrasive grain trajectories --- FlexSim --- thermography --- abrasive brushing --- finishing --- fine machining --- grinding --- ceramics --- MgO-PSZ --- ZrO2 --- CNC turning --- rigidity --- surface texture --- profile parameters --- AISI 304 --- S355JR --- n/a --- Box-Behnken design
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The work included in this book pertains to advanced abrasive and nonconventional machining processes. These processes are at the forefront of modern technology, with significant practical significance. Their importance is also made clear by the case studies that are included in the research that is presented in the book, pertaining to important materials and high-end applications. However, the particularities of these manufacturing processes need to be further investigated and the processes themselves need to be optimized. This is conducted in the presented works with significant experimental and modeling work, incorporating modern tools of analysis and measurements.
Technology: general issues --- electrical discharge machining --- surface roughness --- white layer formation --- heat affected zone --- ANOVA --- aluminum alloy Al5052 --- wire EDM --- process parameters --- Inconel 617 super alloy --- DoE --- RSM method --- Box–Behnken design --- performance measures --- material removal rate --- abrasive machining --- single-sided lapping --- tool wear --- machine learning --- burnishing process --- fatigue strength --- ship propeller --- surface layer --- surface processing --- wavelet analysis --- decomposition of signals --- honing --- honing of holes --- kinematics of honing --- automation of honing --- abrasive grain trajectories --- FlexSim --- thermography --- abrasive brushing --- finishing --- fine machining --- grinding --- ceramics --- MgO-PSZ --- ZrO2 --- CNC turning --- rigidity --- surface texture --- profile parameters --- AISI 304 --- S355JR --- n/a --- Box-Behnken design
Choose an application
As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
History of engineering & technology --- CNC parameters --- machining mode --- high speed --- high accuracy --- high surface quality --- five-axis linear-segment toolpath --- path smoothing --- B-spline curve-fitting --- path synchronization --- feedrate scheduling --- flute-grinding --- evolution algorithms --- wheel location and orientation --- thin-floor machining --- chatter --- magnetorheological damper --- bull-nose end mill --- tool wear monitoring --- milling --- complex part --- deep learning --- autoencoder --- deep multi-layer perceptron --- tool condition monitoring --- tool change policy --- Industry 4.0 --- machine learning --- CNN --- AI --- additive manufacturing --- thin walled machining --- dynamics --- machining cycle optimization --- multivariable tool --- stable peninsula --- homotopy perturbation method --- machining robot --- natural frequency prediction --- model optimization --- dynamic performance --- stability --- machining --- grinding --- n/a
Choose an application
The work included in this book pertains to advanced abrasive and nonconventional machining processes. These processes are at the forefront of modern technology, with significant practical significance. Their importance is also made clear by the case studies that are included in the research that is presented in the book, pertaining to important materials and high-end applications. However, the particularities of these manufacturing processes need to be further investigated and the processes themselves need to be optimized. This is conducted in the presented works with significant experimental and modeling work, incorporating modern tools of analysis and measurements.
electrical discharge machining --- surface roughness --- white layer formation --- heat affected zone --- ANOVA --- aluminum alloy Al5052 --- wire EDM --- process parameters --- Inconel 617 super alloy --- DoE --- RSM method --- Box–Behnken design --- performance measures --- material removal rate --- abrasive machining --- single-sided lapping --- tool wear --- machine learning --- burnishing process --- fatigue strength --- ship propeller --- surface layer --- surface processing --- wavelet analysis --- decomposition of signals --- honing --- honing of holes --- kinematics of honing --- automation of honing --- abrasive grain trajectories --- FlexSim --- thermography --- abrasive brushing --- finishing --- fine machining --- grinding --- ceramics --- MgO-PSZ --- ZrO2 --- CNC turning --- rigidity --- surface texture --- profile parameters --- AISI 304 --- S355JR --- n/a --- Box-Behnken design
Choose an application
As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
CNC parameters --- machining mode --- high speed --- high accuracy --- high surface quality --- five-axis linear-segment toolpath --- path smoothing --- B-spline curve-fitting --- path synchronization --- feedrate scheduling --- flute-grinding --- evolution algorithms --- wheel location and orientation --- thin-floor machining --- chatter --- magnetorheological damper --- bull-nose end mill --- tool wear monitoring --- milling --- complex part --- deep learning --- autoencoder --- deep multi-layer perceptron --- tool condition monitoring --- tool change policy --- Industry 4.0 --- machine learning --- CNN --- AI --- additive manufacturing --- thin walled machining --- dynamics --- machining cycle optimization --- multivariable tool --- stable peninsula --- homotopy perturbation method --- machining robot --- natural frequency prediction --- model optimization --- dynamic performance --- stability --- machining --- grinding --- n/a
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Materials processing is the first, and a key, step in proper utilization of the composition of a given material and to realize the microstructural features that are intended to attain desired property levels for a given application. Both primary and secondary processing methods are equally important in tailoring the end properties of materials. In view of the crucial importance of the processing of materials, this Special Issue is intending to cover all innovative aspects of primary processing (solid phase, liquid phase, two phase, 3D printing, rapid solidification, etc.) and secondary processing (such as variations in extrusion, forging, rolling, equichannel angular extrusion, etc.) of materials (polymers/metal/ceramic-based, including their composites). Desirable attributes expected for submission will be processing–microstructure–property interrelations.
Materials science --- electrical discharge machining --- vibroacoustic emission --- adaptive control --- monitoring --- discharge gap --- erosion products --- silver nanoparticles --- mulberry leaves extract --- CO2-assisted polymer compression --- numbering-up --- high productivity --- CO2 --- polymer --- porous material --- process improvement --- 1D magnetic photonic crystals --- multilayer film modeling --- modeling of Faraday rotation spectra --- MPC optimization --- exhaustive computation --- materials characterization --- nanoceramics --- coatings --- auxiliary electrode --- electrical conductivity --- oxides --- nitrides --- carbon particles --- oil medium --- additive technologies --- additive manufacturing --- FFF --- 3D printing --- nylon --- cryogenic machining --- review --- liquid nitrogen --- liquid carbon dioxide --- thermomechanical processing --- bobbin friction stir welding --- atomic force microscopy --- AA6082-T6 aluminium alloy --- dynamic recrystallization --- precipitation --- macroscopic self-standing architectures --- Ni-doped MnO2 --- Co-doped MnO2 --- propane oxidation --- mechanical properties --- 3D-printing --- compensation --- accuracy --- precision --- adsorption --- hydrotalcite --- thiophene/dibenzothiophene --- n-pentane --- desulfurization --- structural ceramic --- oxide ceramic --- EDM --- ZrO2 --- Al2O3 --- electrode --- thin films --- white layer --- electro physics --- chemical reactions --- sublimation --- friction stir welding --- WC --- AA1100 aluminium plate --- weld contamination --- tunnel void --- kissing bond --- erosion --- tool wear --- ZnNix --- explosive deposition --- n/a
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Metal manufacturing is a fundamental and indispensable technology in the processing of raw metals into desired products, which significantly promotes the development of industry and society overall. This book presents original research and a state of the art review of contemporary metal manufacturing processes, especially in the modeling, optimization, and design of the manufacturing processes. This book covers topics such as machine learning algorithms in manufacturing metal products, the fabrication and optimization of mechanical properties of metals, and numerical simulations and experiments in the machining of metals. The book presents some essential theories and successful manufacturing techniques for the low-cost and highly efficient production of metals.
Business strategy --- Manufacturing industries --- machine learning --- reinforcement learning --- Q-learning --- steelmaking process CAS-OB --- decision-support system --- optimisation algorithm --- 3D auxetic structures --- selective laser melting --- micro assembled --- structural surface layer model --- A380 alloy --- Ca --- AlFeSi phase --- refine --- micro-cutting --- grain size --- surface integrity --- cutting forces --- chip formation --- OFHC copper C102 --- amorphous alloys --- Fe-based amorphous alloys --- difficult-to-machine --- assisted machining --- high-frequency PCB --- drilling --- coating technology --- tool wear --- hot filament chemical vapor deposition --- PCBN tool --- gray cast iron --- surface quality --- temperature prediction --- weighted regularized extreme learning machine --- just-in-time learning --- sample similarities --- variable correlations --- tool edge preparation --- orthogonal cutting --- numerical simulation --- ANOVA --- temperature --- stress --- ECAP --- metallic materials --- processing parameters --- deformation mechanism --- n/a
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Investigation of the effect of casting and crystallization on the structure and properties of the resulting light alloys and, in particular, research connected with detailed analysis of the microstructure of light alloys obtained using various external influences of ultrasonic, vibration, magnetic, and mechanical processing on the casting and crystallization are discussed. Research on the study of introduction of additives (modifiers, reinforcers, including nanosized ones, etc.) into the melt during the crystallization process, the technological properties of casting (fluidity, segregation, shrinkage, etc.), the structure and physicomechanical properties of light alloys are also included.
History of engineering & technology --- aluminum alloy --- titanium diboride --- master alloy --- structure --- mechanical properties --- aluminum --- alumina nanoparticles --- microstructure --- elastic limit --- strength --- Al/SiC composite --- porosity in composites --- finite element analysis --- Al–Mg–Si --- α-Al8(Fe2Mn)Si particles --- solution treatment --- ageing --- dissolution of Fe --- Differential Scanning Calorimetry --- casting speed --- solidification --- Ohno continuous casting --- gravity casting --- dendritic spacing --- composite materials --- hypereutectic aluminum alloys --- Al-Zn-Mg alloys --- rapid solidification --- eutectic --- CALPHAD --- intermetallics --- precipitation hardening --- aluminum-zirconium wire alloys --- electromagnetic casting --- drawing --- electrical conductivity --- phase composition --- nanoparticles --- friction stir processing --- aluminum alloys --- copper alloys --- titanium alloys --- magnesium alloys --- subsurface gradient structures --- surface modification --- hardening with reinforcing particles --- hybrid in situ surfaces --- friction stir welding --- grade 2 titanium alloy --- ZhS6U Ni-based superalloy --- welding tool --- tool wear --- structure formation --- adhesion --- metal transfer --- in-situ friction stir process --- Al-Cu metallomatrix composite --- intermetallic compounds --- diffusion-controlled reactions --- Al-Cu eutectics --- intermetallides --- hydrides --- TiAl system --- n/a --- Al-Mg-Si
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