Search results: Found 4

Listing 1 - 4 of 4
Sort by
Advances in Mechanical Systems Dynamics

Authors: --- ---
ISBN: 9783039281886 9783039281893 Year: Pages: 236 DOI: 10.3390/books978-3-03928-189-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Mechanical Engineering --- General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:08
License:

Loading...
Export citation

Choose an application

Abstract

Modern dynamics was established many centuries ago by Galileo and Newton before the beginning of the industrial era. Presently, we are in the presence of the fourth industrial revolution, and mechanical systems are increasingly being integrated with electronic, electrical, and fluidic systems. This trend is present not only in the industrial environment, which will soon be characterized by the cyber-physical systems of industry 4.0, but also in other environments like mobility, health and bio-engineering, food and natural resources, safety, and sustainable living. In this context, purely mechanical systems with quasi-static behavior will become less common and the state-of-the-art will soon be represented by integrated mechanical systems, which need accurate dynamic models to predict their behavior. Therefore, mechanical system dynamics are going to play an increasingly central role. Significant research efforts are needed to improve the identification of the mechanical properties of systems in order to develop models that take non-linearity into account, and to develop efficient simulation tools. This Special Issue aims at disseminating the latest research achievements, findings, and ideas in mechanical systems dynamics, with particular emphasis on applications that are strongly integrated with other systems and require a multi-physical approach.

Machining—Recent Advances, Applications and Challenges

Authors: ---
ISBN: 9783039213771 9783039213788 Year: Pages: 554 DOI: 10.3390/books978-3-03921-378-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
License:

Loading...
Export citation

Choose an application

Abstract

The Special Issue Machining—Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine–tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.

Keywords

dry-cutting --- concrete --- segmented diamond blade --- topography --- diameter variation --- weight loss --- in situ estimation --- SACE-drilled hole depth --- spark-assisted chemical engraving --- glass machining --- computer vision --- electrochemical discharge machining --- butt weld joint --- fatigue --- crack growth rate --- weld reinforcement --- cooling rate --- artificial neutral network --- cutting parameters --- magnesium alloys --- optimization --- prime machining costs --- surface roughness --- electropulsing --- machinability --- chip compression ratio --- current density --- specific cutting energy --- cutting edge microgeometry --- residual stress --- finite element model --- cutting edge preparation --- Inconel 718 --- stiffness properties --- parameter identification --- connections --- machine tool --- response surface methodology --- design of experiments --- modal testing --- plastic zone --- fracture mechanism --- steel sheet --- cutting process --- Huber–Mises stress --- finite element method --- microscopic analysis --- PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating --- cutting temperature --- Inconel 718 --- cutting tool wear --- secondary adhesion wear --- turning --- machining --- aluminium --- flank super abrasive machining (SAM) --- flank milling --- Inconel® 718 --- roughness --- residual stress --- machine vision --- on-machine monitoring --- tool insert condition --- computer numerical control --- turning machine tools --- multi-beam laser --- heat transfer analysis --- fast simulation --- GPU --- analytic solution --- minimum quantity lubrication --- surface grinding --- multi-objective optimization --- grey relational analysis --- surface topography --- sustainable machining --- Gamma-TiAl --- superalloys --- slight materials --- drilling --- titanium aluminides --- additive manufacturing --- single point incremental sheet forming --- residual stresses --- X-ray diffraction --- ultra-precision machining --- slow tool servo --- surface topography --- simulation --- microlens array --- sinusoidal grid --- Milling stability --- variable pitch --- chatter --- self-excitation --- milling --- ceramics --- ductile machining --- PCD --- corner radius --- material removal rate --- adhesive --- machining --- modelling --- dry --- CFRP/UNS A92024 --- induction assisted milling --- tool wear --- taguchi method --- cutting tool --- machining temperatures at two deformation zones --- force–temperature correlation through analytical modeling --- high computational efficiency --- real-time prediction --- hybrid stacks drilling --- minimum quantity lubrication --- hole quality --- tool wear --- WEDM --- EN 31 steel --- surface roughness --- fractal dimension --- ANN --- GA --- cryogenic machining --- cutting tool --- cutting geometry --- titanium --- power consumption --- material-removal rate --- specific energy consumption --- grain density --- modeling --- shape memory alloy --- superelastic nitinol --- WEDM --- heat transfer search algorithm --- DSC test --- shape memory effect --- dish angle --- trochoidal step --- response surface methodology --- surface roughness --- desirability approach --- tool wear --- trochoidal milling --- titanium alloy --- chip morphology --- thin-wall machining --- chatter --- vibration --- deflection --- damping --- prediction --- workholding --- fixture --- dynamic --- stability --- titanium alloys --- machining --- turning --- machinability --- tool wear --- laser-assisted machining --- Taguchi method --- optimal machining conditions --- machining characteristic --- milling --- the cutting force components --- vibrations --- magnesium alloys --- artificial neural networks

Micro/Nano Manufacturing

Authors: ---
ISBN: 9783039211692 9783039211708 Year: Pages: 208 DOI: 10.3390/books978-3-03921-170-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

Micro manufacturing involves dealing with the fabrication of structures in the size range of 0.1 to 1000 µm. The scope of nano manufacturing extends the size range of manufactured features to even smaller length scales—below 100 nm. A strict borderline between micro and nano manufacturing can hardly be drawn, such that both domains are treated as complementary and mutually beneficial within a closely interconnected scientific community. Both micro and nano manufacturing can be considered as important enablers for high-end products. This Special Issue of Applied Sciences is dedicated to recent advances in research and development within the field of micro and nano manufacturing. The included papers report recent findings and advances in manufacturing technologies for producing products with micro and nano scale features and structures as well as applications underpinned by the advances in these technologies.

Keywords

fluid jet polishing --- deterministic polishing --- variable pitch path --- residual error optimization --- path adaptability --- chatter identification --- three-dimensional elliptical vibration cutting --- empirical mode decomposition --- intrinsic mode function --- feature extraction --- micro-EDM molds --- micro-lens array --- contactless embossing --- friction coefficient --- micro 3D printing --- micro stereolithography --- process parameter optimization --- Taguchi’s method --- multi-objective particle swarm optimization --- flow control --- culture dish adapter --- small recess structure --- closed environment --- perfusion culture --- optical encoder --- grating --- blaze --- injection molding --- micro assembly --- active alignment --- opto-ASIC --- wafer-level optics --- antireflection nanostructure --- microlens array mold --- ultraprecision machining --- anodic aluminum oxide --- spatial uncertainty modeling --- additive manufacturing --- uncertainty quantification --- Image segmentation --- gaussian process modeling --- additive manufacturing --- selective laser melting --- surface roughness --- design of experiments --- Ti6Al4V --- SERS --- Surface-enhanced Raman scattering --- nanosphere array --- nanocone array --- hot embossing --- nanoimprinting --- plasma nitriding --- micro-nozzle --- micro-spring --- nitrogen supersaturation --- hardening --- hydrophobicity --- stiffness control --- product development --- conceptual design --- micro assembly --- data structure --- design for manufacturability --- low PC clinker --- Portland limestone ternary fiber–cement nanohybrids --- flexural strength --- TGA/dTG --- XRD --- MIP --- water impermeability tests --- micro and nano manufacturing --- micro-fluidics --- micro-optics --- micro and nano additive manufacturing --- micro-assembly --- surface engineering and interface nanotechnology --- micro factories --- micro reactors --- micro sensors --- micro actuators

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

Authors: ---
ISBN: 9783039282906 9783039282913 Year: Pages: 428 DOI: 10.3390/books978-3-03928-291-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Industrial Engineering
Added to DOAB on : 2020-04-07 23:07:09
License:

Loading...
Export citation

Choose an application

Abstract

Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Keywords

cutting insert selection --- cutting parameter optimization --- artificial neural networks --- genetic algorithm --- connected enterprise --- smart manufacturing --- big data --- machine learning --- data reduction --- predictive analytics --- in-line dimensional inspection --- warm forming --- 3D mesh reconstruction --- optical system --- revolution workpiece --- defect detection --- polymer lithium-ion battery --- convolutional neural network --- deep learning --- blister defect --- flower pollination algorithm --- Industry 4.0 --- anomaly detection --- scheduling --- neural network --- skyline queries --- Cyber-Physical Systems (CPS) --- scalability test --- Internet of Things (IoT) --- INDUSTRY 4.0 --- economic recession --- research and development indicators --- maintenance expert --- competence --- decision support --- micro-armature --- defect detection --- convolutional neural networks --- computer vision --- capacity control --- job shop systems --- RMTs --- operator theory --- 4th industrial revolution --- industry 4.0 --- AHP --- QFD --- matching --- fibre of preserved Szechuan pickle --- contour detection --- dilated convolutions --- HED --- social network --- industry 4.0 --- industrial knowledge graph --- deep learning --- industrial big data --- intellectualization of industrial information --- digital manufacturing --- smart factory --- Industry 4.0 --- digital platforms --- automated surface inspection --- D-VGG16 --- bilinear model --- Grad-CAM --- classification --- localization --- elliptical paraboloid array --- self-calibration method --- vertex distance --- optical slope sensor --- geometric relationship --- relative angle --- fabric defect detection --- LGM --- FCM --- image smoothing --- Industry 4.0 --- marketing innovations --- innovative marketing tools --- impacts marketing innovations --- Industry 4.0 --- configure-to-order --- BIM --- construction equipment --- digital information flow --- lean assembly --- digital twins --- cyber-physical production systems --- depthwise separable convolution --- YOLOv3 --- feature pyramid --- aircraft structure crack detection --- industrial load management --- demand-side management --- demand-side response --- energy flexibility --- IT concept --- platform-based ecosystem --- control service --- smart service --- control as a service --- cloud-based control system --- automation system --- chatter --- train wheel --- smart system --- turning --- edge computing --- n/a

Listing 1 - 4 of 4
Sort by
Narrow your search

Publisher

MDPI - Multidisciplinary Digital Publishing Institute (4)


License

CC by-nc-nd (4)


Language

english (4)


Year
From To Submit

2020 (2)

2019 (2)