文献
J-GLOBAL ID:202202267888006289
整理番号:22A0924201
金属ベースレーザ粉末ベッド融合プロセスにおける材料を横切る付加製造機構の深い移動学習【JST・京大機械翻訳】
Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
著者 (7件):
Pandiyan Vigneashwara
(Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), CH-3602 Thun, Switzerland)
,
Drissi-Daoudi Rita
(Thermomechanical Metallurgy Laboratory - PX Group Chair, Ecole Polytechnique Federale de Lausanne (EPFL), CH-2002 Neuchatel, Switzerland)
,
Shevchik Sergey
(Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), CH-3602 Thun, Switzerland)
,
Masinelli Giulio
(Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), CH-3602 Thun, Switzerland)
,
Le-Quang Tri
(Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), CH-3602 Thun, Switzerland)
,
Loge Roland
(Thermomechanical Metallurgy Laboratory - PX Group Chair, Ecole Polytechnique Federale de Lausanne (EPFL), CH-2002 Neuchatel, Switzerland)
,
Wasmer Kilian
(Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), CH-3602 Thun, Switzerland)
資料名:
Journal of Materials Processing Technology
(Journal of Materials Processing Technology)
巻:
303
ページ:
Null
発行年:
2022年
JST資料番号:
H0650A
ISSN:
0924-0136
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)