Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature
Directed energy deposition (DED) is a major metal additive manufacturing (AM) technology that is increasingly used in many industries due to its ability to manufacture complex components of arbitrary shapes and sizes. However, a lack of timely geometry assessment and the consequent geometry control...
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| Formáid: | Online |
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Firenze University Press
2024
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20240402_9791221502893_4 |
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Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869525864454029312 |
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| author | Yang, Liu Wang, Boyu Cheng, Jack C. P. Liu, Peipei Sohn, Hoon |
| author_browse | Cheng, Jack C. P. Liu, Peipei Sohn, Hoon Wang, Boyu Yang, Liu |
| author_facet | Yang, Liu Wang, Boyu Cheng, Jack C. P. Liu, Peipei Sohn, Hoon |
| author_sort | Yang, Liu |
| collection | Directory of Open Access Books |
| description | Directed energy deposition (DED) is a major metal additive manufacturing (AM) technology that is increasingly used in many industries due to its ability to manufacture complex components of arbitrary shapes and sizes. However, a lack of timely geometry assessment and the consequent geometry control hinders the development of DED towards zero defect manufacturing. In this study, a real-time geometry assessment methodology is developed for laser pow-der directed energy deposition (LP-DED). A geometry assessment system is developed using a laser line scanner capable of inspecting the melt pool area, the just solidified area, as well as layer-wise inspection. An image processing method with an encoder-decoder based profile completion network was developed to obtain accurate track profile in images from real-time inspection. Experiments have been conducted to validate the proposed methodology by depositing multi-layer X-shape objects |
| format | Online |
| id | doab-20.500.12854ir-137188 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1371882025-07-31T15:01:27Z Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature Yang, Liu Wang, Boyu Cheng, Jack C. P. Liu, Peipei Sohn, Hoon Additive Manufacturing Directed energy deposition Real-time geometry assessment Laser line scanning thema EDItEUR::U Computing and Information Technology Directed energy deposition (DED) is a major metal additive manufacturing (AM) technology that is increasingly used in many industries due to its ability to manufacture complex components of arbitrary shapes and sizes. However, a lack of timely geometry assessment and the consequent geometry control hinders the development of DED towards zero defect manufacturing. In this study, a real-time geometry assessment methodology is developed for laser pow-der directed energy deposition (LP-DED). A geometry assessment system is developed using a laser line scanner capable of inspecting the melt pool area, the just solidified area, as well as layer-wise inspection. An image processing method with an encoder-decoder based profile completion network was developed to obtain accurate track profile in images from real-time inspection. Experiments have been conducted to validate the proposed methodology by depositing multi-layer X-shape objects 2024-05-12T19:11:24Z 2024-05-12T19:11:24Z 2024-04-02T15:44:20Z 2023 chapter ONIX_20240402_9791221502893_4 2704-5846 https://library.oapen.org/handle/20.500.12657/89035 9791221502893 https://directory.doabooks.org/handle/20.500.12854/137188 eng Proceedings e report open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/89035/1/9791221502893_97.pdf https://library.oapen.org/bitstream/20.500.12657/89035/1/9791221502893_97.pdf Firenze University Press 10.36253/979-12-215-0289-3.97 10.36253/979-12-215-0289-3.97 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 12 Florence open access |
| spellingShingle | Additive Manufacturing Directed energy deposition Real-time geometry assessment Laser line scanning thema EDItEUR::U Computing and Information Technology Yang, Liu Wang, Boyu Cheng, Jack C. P. Liu, Peipei Sohn, Hoon Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature |
| title | Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature |
| title_full | Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature |
| title_fullStr | Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature |
| title_full_unstemmed | Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature |
| title_short | Chapter Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature |
| title_sort | chapter real time geometry assessment using laser line scanner during laser powder directed energy deposition additive manufacturing of ss316l component with sharp feature |
| topic | Additive Manufacturing Directed energy deposition Real-time geometry assessment Laser line scanning thema EDItEUR::U Computing and Information Technology |
| topic_facet | Additive Manufacturing Directed energy deposition Real-time geometry assessment Laser line scanning thema EDItEUR::U Computing and Information Technology |
| url | ONIX_20240402_9791221502893_4 |
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