Modeling, Simulation and Data Processing for Additive Manufacturing

Additive manufacturing (AM) or, more commonly, 3D printing is one of the fundamental elements of Industry 4.0. and the fourth industrial revolution. It has shown its potential example in the medical, automotive, aerospace, and spare part sectors. Personal manufacturing, complex and optimized parts,...

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collection Directory of Open Access Books
description Additive manufacturing (AM) or, more commonly, 3D printing is one of the fundamental elements of Industry 4.0. and the fourth industrial revolution. It has shown its potential example in the medical, automotive, aerospace, and spare part sectors. Personal manufacturing, complex and optimized parts, short series manufacturing and local on-demand manufacturing are some of the current benefits. Businesses based on AM have experienced double-digit growth in recent years. Accordingly, we have witnessed considerable efforts in developing processes and materials in terms of speed, costs, and availability. These open up new applications and business case possibilities all the time, which were not previously in existence. Most research has focused on material and AM process development or effort to utilize existing materials and processes for industrial applications. However, improving the understanding and simulation of materials and AM process and understanding the effect of different steps in the AM workflow can increase the performance even more. The best way of benefit of AM is to understand all the steps related to that—from the design and simulation to additive manufacturing and post-processing ending the actual application.The objective of this Special Issue was to provide a forum for researchers and practitioners to exchange their latest achievements and identify critical issues and challenges for future investigations on “Modeling, Simulation and Data Processing for Additive Manufacturing”. The Special Issue consists of 10 original full-length articles on the topic.
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publishDate 2022
publishDateRange 2022
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-787542024-04-11T15:10:14Z Modeling, Simulation and Data Processing for Additive Manufacturing Salmi, Mika selective laser melting finite element analysis thermodynamic behavior substrate preheating scanning strategy 24CrNiMo alloy steel additive manufacturing rapid manufacturing rapid prototyping 3D printing medical implants dental processes methods clinical laser additive manufacturing Inconel 718 pure Ti finite element modeling melt-pool formation thermo-mechanical modelling residual stresses microstructure Ti-6Al-4V acoustics porous materials material extrusion design for additive manufacturing sound absorption artificial neural network machine learning quality control management process optimization computing techniques ICT systems laser powder bed fusion (LPBF) benchmark test artifact numerical simulations dimensional metrology geometric dimensioning and tolerancing (GD&T) selective laser melting (SLM) lattice structure bimetallic composite mechanical properties finite element analysis (FEA) digital image correlation (DIC) hybrid manufacturing inconel 625 EDS microanalysis automatic image analysis laser melting laser sintering AlSi10Mg PA12 Round-Robin n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Additive manufacturing (AM) or, more commonly, 3D printing is one of the fundamental elements of Industry 4.0. and the fourth industrial revolution. It has shown its potential example in the medical, automotive, aerospace, and spare part sectors. Personal manufacturing, complex and optimized parts, short series manufacturing and local on-demand manufacturing are some of the current benefits. Businesses based on AM have experienced double-digit growth in recent years. Accordingly, we have witnessed considerable efforts in developing processes and materials in terms of speed, costs, and availability. These open up new applications and business case possibilities all the time, which were not previously in existence. Most research has focused on material and AM process development or effort to utilize existing materials and processes for industrial applications. However, improving the understanding and simulation of materials and AM process and understanding the effect of different steps in the AM workflow can increase the performance even more. The best way of benefit of AM is to understand all the steps related to that—from the design and simulation to additive manufacturing and post-processing ending the actual application.The objective of this Special Issue was to provide a forum for researchers and practitioners to exchange their latest achievements and identify critical issues and challenges for future investigations on “Modeling, Simulation and Data Processing for Additive Manufacturing”. The Special Issue consists of 10 original full-length articles on the topic. 2022-02-24T10:35:23Z 2022-02-24T10:35:23Z 2022 book ONIX_20220224_9783036529486_52 9783036529486 9783036529493 https://directory.doabooks.org/handle/20.500.12854/78754 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4846 https://mdpi.com/books/pdfview/book/4846 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2948-6 10.3390/books978-3-0365-2948-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036529486 9783036529493 249 Basel open access
spellingShingle selective laser melting
finite element analysis
thermodynamic behavior
substrate preheating
scanning strategy
24CrNiMo alloy steel
additive manufacturing
rapid manufacturing
rapid prototyping
3D printing
medical
implants
dental
processes
methods
clinical
laser additive manufacturing
Inconel 718
pure Ti
finite element modeling
melt-pool formation
thermo-mechanical modelling
residual stresses
microstructure
Ti-6Al-4V
acoustics
porous materials
material extrusion
design for additive manufacturing
sound absorption
artificial neural network
machine learning
quality control management
process optimization
computing techniques
ICT systems
laser powder bed fusion (LPBF)
benchmark test artifact
numerical simulations
dimensional metrology
geometric dimensioning and tolerancing (GD&T)
selective laser melting (SLM)
lattice structure
bimetallic composite
mechanical properties
finite element analysis (FEA)
digital image correlation (DIC)
hybrid manufacturing
inconel 625
EDS microanalysis
automatic image analysis
laser melting
laser sintering
AlSi10Mg
PA12
Round-Robin
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Modeling, Simulation and Data Processing for Additive Manufacturing
title Modeling, Simulation and Data Processing for Additive Manufacturing
title_full Modeling, Simulation and Data Processing for Additive Manufacturing
title_fullStr Modeling, Simulation and Data Processing for Additive Manufacturing
title_full_unstemmed Modeling, Simulation and Data Processing for Additive Manufacturing
title_short Modeling, Simulation and Data Processing for Additive Manufacturing
title_sort modeling simulation and data processing for additive manufacturing
topic selective laser melting
finite element analysis
thermodynamic behavior
substrate preheating
scanning strategy
24CrNiMo alloy steel
additive manufacturing
rapid manufacturing
rapid prototyping
3D printing
medical
implants
dental
processes
methods
clinical
laser additive manufacturing
Inconel 718
pure Ti
finite element modeling
melt-pool formation
thermo-mechanical modelling
residual stresses
microstructure
Ti-6Al-4V
acoustics
porous materials
material extrusion
design for additive manufacturing
sound absorption
artificial neural network
machine learning
quality control management
process optimization
computing techniques
ICT systems
laser powder bed fusion (LPBF)
benchmark test artifact
numerical simulations
dimensional metrology
geometric dimensioning and tolerancing (GD&T)
selective laser melting (SLM)
lattice structure
bimetallic composite
mechanical properties
finite element analysis (FEA)
digital image correlation (DIC)
hybrid manufacturing
inconel 625
EDS microanalysis
automatic image analysis
laser melting
laser sintering
AlSi10Mg
PA12
Round-Robin
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet selective laser melting
finite element analysis
thermodynamic behavior
substrate preheating
scanning strategy
24CrNiMo alloy steel
additive manufacturing
rapid manufacturing
rapid prototyping
3D printing
medical
implants
dental
processes
methods
clinical
laser additive manufacturing
Inconel 718
pure Ti
finite element modeling
melt-pool formation
thermo-mechanical modelling
residual stresses
microstructure
Ti-6Al-4V
acoustics
porous materials
material extrusion
design for additive manufacturing
sound absorption
artificial neural network
machine learning
quality control management
process optimization
computing techniques
ICT systems
laser powder bed fusion (LPBF)
benchmark test artifact
numerical simulations
dimensional metrology
geometric dimensioning and tolerancing (GD&T)
selective laser melting (SLM)
lattice structure
bimetallic composite
mechanical properties
finite element analysis (FEA)
digital image correlation (DIC)
hybrid manufacturing
inconel 625
EDS microanalysis
automatic image analysis
laser melting
laser sintering
AlSi10Mg
PA12
Round-Robin
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20220224_9783036529486_52