Prediction of tensile strength in aluminum spot welding using machine learning.
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| Title: | Prediction of tensile strength in aluminum spot welding using machine learning. |
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| Authors: | Seo BW; Applied Laser Technology Group, SAMSUNG SDI Co., Ltd., 150-20, Gongse-ro, Giheung-gu, Yongin-si, 17084, Gyeonggi-do, Republic of Korea., Son HJ; Department of Smart Manufacturing Engineering, Changwon National University, Changwon, 51140, Republic of Korea., Han SB; Department of Smart Manufacturing Engineering, Changwon National University, Changwon, 51140, Republic of Korea., Jo IS; Department of Smart Manufacturing Engineering, Changwon National University, Changwon, 51140, Republic of Korea., Kim CJ; Digital Manufacturing Innovation Division, Research Institute of Medium & Small Shipbuilding, 38-6, Noksansandan 232-ro, Gangseo-gu, Busan, Republic of Korea., Cho YT; Department of Smart Manufacturing Engineering, Changwon National University, Changwon, 51140, Republic of Korea. ytcho@changwon.ac.kr. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 28; Vol. 15 (1), pp. 42735. Date of Electronic Publication: 2025 Nov 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-26749-9 |
