Material Modeling in Multiphysics Simulation
Virtual prototyping techniques, generally based on numerical methods, are widely used in the process of designing an industrial product. In recent decades, the demand for strong improvements in terms of productivity, reliability, and cost reduction have been fundamental considerations in this form o...
-д хадгалсан:
| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20240704_9783725810857_72 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869521396534607872 |
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| collection | Directory of Open Access Books |
| description | Virtual prototyping techniques, generally based on numerical methods, are widely used in the process of designing an industrial product. In recent decades, the demand for strong improvements in terms of productivity, reliability, and cost reduction have been fundamental considerations in this form of design, often requiring more than one simultaneously occurring physical field (thermal, mechanical, electrical, metallurgical, etc.) to be taken into account. At present, a huge amount of commercial code and a huge number of new algorithms have been developed to perform multiphysics simulations; nevertheless, the availability of a suitable material model often presents a bottleneck in obtaining reliable results. This reprint brought together a series of recent scientific contributions addressing several topics in the field of the physical-based modeling of material behavior and manufacturing processes. The quality of scientific contributions in this reprint can aid scholars and scientists in their research activity. |
| format | Online |
| id | doab-20.500.12854ir-139276 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1392762024-07-04T09:35:17Z Material Modeling in Multiphysics Simulation De Bona, Francesco Srnec Novak, Jelena Mocera, Francesco aluminium ultrasonic melt treatment cavitation CFD simulation structure refinement sequence deep learning neural networks casting steel solidification multiphysics additive manufacturing laser powder bed fusion thin-walled structures warpage finite element analysis induction heating mathematical modeling process control automation optimization waveguide mathematical modelling computer simulation austenite decomposition kinetics microstructure transformations hybrid modeling dynamic material processes evolving domains data-driven modeling genetic algorithm symbolic regression cooling process microstructure properties modeling simulation Pyrowear 53 inverse heat transfer DEFORM3D low pressure carburizing high-pressure gas quenching simufact phase transformations latent heat Koistinen–Marburger extrusion Inconel 718 metal-forming simulation steel continuous casting process travelling slice FE transient thermal model temperature evolution metallurgical length density of free randomly moving (RM) electrons probability density function density of states (DOS) mean free path of electrons resistivity of metals diffusion coefficient drift mobility Hall effect Hall mobility n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general Virtual prototyping techniques, generally based on numerical methods, are widely used in the process of designing an industrial product. In recent decades, the demand for strong improvements in terms of productivity, reliability, and cost reduction have been fundamental considerations in this form of design, often requiring more than one simultaneously occurring physical field (thermal, mechanical, electrical, metallurgical, etc.) to be taken into account. At present, a huge amount of commercial code and a huge number of new algorithms have been developed to perform multiphysics simulations; nevertheless, the availability of a suitable material model often presents a bottleneck in obtaining reliable results. This reprint brought together a series of recent scientific contributions addressing several topics in the field of the physical-based modeling of material behavior and manufacturing processes. The quality of scientific contributions in this reprint can aid scholars and scientists in their research activity. 2024-07-04T09:35:14Z 2024-07-04T09:35:14Z 2024 book ONIX_20240704_9783725810857_72 9783725810857 9783725810864 https://directory.doabooks.org/handle/20.500.12854/139276 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9272 https://mdpi.com/books/pdfview/book/9272 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1086-4 10.3390/books978-3-7258-1086-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725810857 9783725810864 200 open access |
| spellingShingle | aluminium ultrasonic melt treatment cavitation CFD simulation structure refinement sequence deep learning neural networks casting steel solidification multiphysics additive manufacturing laser powder bed fusion thin-walled structures warpage finite element analysis induction heating mathematical modeling process control automation optimization waveguide mathematical modelling computer simulation austenite decomposition kinetics microstructure transformations hybrid modeling dynamic material processes evolving domains data-driven modeling genetic algorithm symbolic regression cooling process microstructure properties modeling simulation Pyrowear 53 inverse heat transfer DEFORM3D low pressure carburizing high-pressure gas quenching simufact phase transformations latent heat Koistinen–Marburger extrusion Inconel 718 metal-forming simulation steel continuous casting process travelling slice FE transient thermal model temperature evolution metallurgical length density of free randomly moving (RM) electrons probability density function density of states (DOS) mean free path of electrons resistivity of metals diffusion coefficient drift mobility Hall effect Hall mobility n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general Material Modeling in Multiphysics Simulation |
| title | Material Modeling in Multiphysics Simulation |
| title_full | Material Modeling in Multiphysics Simulation |
| title_fullStr | Material Modeling in Multiphysics Simulation |
| title_full_unstemmed | Material Modeling in Multiphysics Simulation |
| title_short | Material Modeling in Multiphysics Simulation |
| title_sort | material modeling in multiphysics simulation |
| topic | aluminium ultrasonic melt treatment cavitation CFD simulation structure refinement sequence deep learning neural networks casting steel solidification multiphysics additive manufacturing laser powder bed fusion thin-walled structures warpage finite element analysis induction heating mathematical modeling process control automation optimization waveguide mathematical modelling computer simulation austenite decomposition kinetics microstructure transformations hybrid modeling dynamic material processes evolving domains data-driven modeling genetic algorithm symbolic regression cooling process microstructure properties modeling simulation Pyrowear 53 inverse heat transfer DEFORM3D low pressure carburizing high-pressure gas quenching simufact phase transformations latent heat Koistinen–Marburger extrusion Inconel 718 metal-forming simulation steel continuous casting process travelling slice FE transient thermal model temperature evolution metallurgical length density of free randomly moving (RM) electrons probability density function density of states (DOS) mean free path of electrons resistivity of metals diffusion coefficient drift mobility Hall effect Hall mobility n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| topic_facet | aluminium ultrasonic melt treatment cavitation CFD simulation structure refinement sequence deep learning neural networks casting steel solidification multiphysics additive manufacturing laser powder bed fusion thin-walled structures warpage finite element analysis induction heating mathematical modeling process control automation optimization waveguide mathematical modelling computer simulation austenite decomposition kinetics microstructure transformations hybrid modeling dynamic material processes evolving domains data-driven modeling genetic algorithm symbolic regression cooling process microstructure properties modeling simulation Pyrowear 53 inverse heat transfer DEFORM3D low pressure carburizing high-pressure gas quenching simufact phase transformations latent heat Koistinen–Marburger extrusion Inconel 718 metal-forming simulation steel continuous casting process travelling slice FE transient thermal model temperature evolution metallurgical length density of free randomly moving (RM) electrons probability density function density of states (DOS) mean free path of electrons resistivity of metals diffusion coefficient drift mobility Hall effect Hall mobility n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| url | ONIX_20240704_9783725810857_72 |