Data analytics approach for melt-pool geometries in metal additive manufacturing / (Record no. 150669)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01905nab a22002537a 4500 |
| 850 ## - HOLDING INSTITUTION | |
| Holding institution | เอกสารภาษาไทย (ชั้น 5) |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191030b2019 xxu||||| |||| 00| 0 eng d |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | Repr.M46 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lee, Seulbi. |
| 245 10 - TITLE STATEMENT | |
| Title | Data analytics approach for melt-pool geometries in metal additive manufacturing / |
| author | Seulbi Lee ...[et.al.]. |
| 500 ## - GENERAL NOTE | |
| GENERAL NOTE | สนใจติดต่อขอรับบริการเอกสารฉบับเต็มที่ one stop service (สำนักหอสมุดฯ) หรือ e-mail ([email protected]) โทร. 0 2201 7254-56, 0 2201 7287-89 (จัดเก็บชั้น 5 - Repr.M46) |
| 518 ## - Year/Month of cataloging | |
| Year/Month | YJ2019 M11 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Modern data analytics was employed to understand and predict physics-based melt-pool formation by fabricating Ni alloy single tracks using powder bed fusion. An extensive database of meltpool geometries was created, including processing parameters and material characteristics as input features. Correlation analysis provided insight for relationships between process parameters and melt-pools, and enabled the development of meaningful machine learning models via the use of highly correlated features. We successfully demonstrated that data analytics facilitates understanding of the inherent physics and reliable prediction ofmelt-pool geometries. This approach can serve as a basis for the melt-pool control and process optimization. |
| 650 #0 - Subject-Topical Term | |
| Topical term or geographic name entry element | Powder bed fusion process. |
| 650 #0 - Subject-Topical Term | |
| Topical term or geographic name entry element | Melt-poo. |
| 650 #0 - Subject-Topical Term | |
| Topical term or geographic name entry element | Single track. |
| 650 #0 - Subject-Topical Term | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - Subject-Topical Term | |
| Topical term or geographic name entry element | Correlation analysis. |
| 700 1# - Added Entry-Personal Name | |
| Name | Peng, Jian. |
| 700 1# - Added Entry-Personal Name | |
| Name | Shin, Dongwon. |
| 700 1# - Added Entry-Personal Name | |
| Name | Choi, Yoon Suk. |
| 773 ## - Host Item Entry | |
| Related parts | Science and Technology of Advanced Materials |
| Title | 20 (1)2019:972-978 |
| International Standard Serial Number | 1468-6996 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
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