Applications of Modeling and Machine Learning in Additive Manufacturing
This Special Issue reprint includes thirteen articles on the applications of modeling and machine learning for the novel design of additively manufactured products, additive manufacturing processes, alloy design, tailoring microstructures, customized mechanical and chemical properties, improved cree...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
|---|---|
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20250812T110751_9783725837465_160 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869520812735725568 |
|---|---|
| collection | Directory of Open Access Books |
| description | This Special Issue reprint includes thirteen articles on the applications of modeling and machine learning for the novel design of additively manufactured products, additive manufacturing processes, alloy design, tailoring microstructures, customized mechanical and chemical properties, improved creep resistance, fatigue life, serviceability, and reducing defects and residual stresses and distortion. |
| format | Online |
| id | doab-20.500.12854ir-165404 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1654042025-08-12T09:28:20Z Applications of Modeling and Machine Learning in Additive Manufacturing Mukherjee, Tuhin Wu, Qianru unsupervised machine learning K-means clustering additive manufacturing nickel plating hardness scratch test machine learning random forest quality inspection laser powder bed fusion process monitoring optical tomography computerized tomography gas pores lack of fusion tensile properties in situ monitoring Gaussian Process Regression directed energy deposition single track geometry uncertainty quantification user-centric decision making expert knowledge keyhole deep learning image segmentation WAAM neural networks temperature history finite element method 3D printing convective flow buoyancy Stokes law gas porosity index stainless steel 316 Ti-6Al-4V Inconel 718 AlSi10Mg physics-informed neural networks metal additive manufacturing online learning real-time modeling temperature field prediction laser direct energy deposition surface repair aluminum alloy multiscale simulation molten pool thermal stress surrogate model recurrent neural network melt pool characterization thermal history direct energy deposition principal component analysis self-organizing maps linear mixed-effects models monitoring modeling statistics n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Special Issue reprint includes thirteen articles on the applications of modeling and machine learning for the novel design of additively manufactured products, additive manufacturing processes, alloy design, tailoring microstructures, customized mechanical and chemical properties, improved creep resistance, fatigue life, serviceability, and reducing defects and residual stresses and distortion. 2025-08-12T09:28:18Z 2025-08-12T09:28:18Z 2025 book ONIX_20250812T110751_9783725837465_160 9783725837465 9783725837458 https://directory.doabooks.org/handle/20.500.12854/165404 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10776 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3745-8 10.3390/books978-3-7258-3745-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725837465 9783725837458 292 open access |
| spellingShingle | unsupervised machine learning K-means clustering additive manufacturing nickel plating hardness scratch test machine learning random forest quality inspection laser powder bed fusion process monitoring optical tomography computerized tomography gas pores lack of fusion tensile properties in situ monitoring Gaussian Process Regression directed energy deposition single track geometry uncertainty quantification user-centric decision making expert knowledge keyhole deep learning image segmentation WAAM neural networks temperature history finite element method 3D printing convective flow buoyancy Stokes law gas porosity index stainless steel 316 Ti-6Al-4V Inconel 718 AlSi10Mg physics-informed neural networks metal additive manufacturing online learning real-time modeling temperature field prediction laser direct energy deposition surface repair aluminum alloy multiscale simulation molten pool thermal stress surrogate model recurrent neural network melt pool characterization thermal history direct energy deposition principal component analysis self-organizing maps linear mixed-effects models monitoring modeling statistics n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Applications of Modeling and Machine Learning in Additive Manufacturing |
| title | Applications of Modeling and Machine Learning in Additive Manufacturing |
| title_full | Applications of Modeling and Machine Learning in Additive Manufacturing |
| title_fullStr | Applications of Modeling and Machine Learning in Additive Manufacturing |
| title_full_unstemmed | Applications of Modeling and Machine Learning in Additive Manufacturing |
| title_short | Applications of Modeling and Machine Learning in Additive Manufacturing |
| title_sort | applications of modeling and machine learning in additive manufacturing |
| topic | unsupervised machine learning K-means clustering additive manufacturing nickel plating hardness scratch test machine learning random forest quality inspection laser powder bed fusion process monitoring optical tomography computerized tomography gas pores lack of fusion tensile properties in situ monitoring Gaussian Process Regression directed energy deposition single track geometry uncertainty quantification user-centric decision making expert knowledge keyhole deep learning image segmentation WAAM neural networks temperature history finite element method 3D printing convective flow buoyancy Stokes law gas porosity index stainless steel 316 Ti-6Al-4V Inconel 718 AlSi10Mg physics-informed neural networks metal additive manufacturing online learning real-time modeling temperature field prediction laser direct energy deposition surface repair aluminum alloy multiscale simulation molten pool thermal stress surrogate model recurrent neural network melt pool characterization thermal history direct energy deposition principal component analysis self-organizing maps linear mixed-effects models monitoring modeling statistics n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | unsupervised machine learning K-means clustering additive manufacturing nickel plating hardness scratch test machine learning random forest quality inspection laser powder bed fusion process monitoring optical tomography computerized tomography gas pores lack of fusion tensile properties in situ monitoring Gaussian Process Regression directed energy deposition single track geometry uncertainty quantification user-centric decision making expert knowledge keyhole deep learning image segmentation WAAM neural networks temperature history finite element method 3D printing convective flow buoyancy Stokes law gas porosity index stainless steel 316 Ti-6Al-4V Inconel 718 AlSi10Mg physics-informed neural networks metal additive manufacturing online learning real-time modeling temperature field prediction laser direct energy deposition surface repair aluminum alloy multiscale simulation molten pool thermal stress surrogate model recurrent neural network melt pool characterization thermal history direct energy deposition principal component analysis self-organizing maps linear mixed-effects models monitoring modeling statistics n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T110751_9783725837465_160 |