The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

被引：0
|
作者：
Headley, Connor V. [1 ]
Herrera del Valle, Roberto J. [1 ]
Ma, Ji [1 ]
Balachandran, Prasanna [1 ,2 ]
Ponnambalam, Vijayabarathi [3 ]
LeBlanc, Saniya [3 ]
Kirsch, Dylan [4 ,5 ]
Martin, Joshua B. [4 ]
机构：
[1] Department of Materials Science and Engineering, University of Virginia, Charlottesville,VA,22903, United States
[2] Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville,VA,22903, United States
[3] Department of Mechanical and Aerospace Engineering, George Washington University, Washington D.C.,20052, United States
[4] Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg,MD,20899, United States
[5] Department of Materials Science & Engineering, University of Maryland, College Park,MD,20742, United States
来源：
Journal of Manufacturing Processes | 2024年 / 116卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Iterative methods
引用
收藏
页码：165 / 175
相关论文
共 50 条
  • [21] Applications of Machine Learning in Thermoelectric Materials
    Sheng Y.
    Ning J.
    Yang J.
    Kuei Suan Jen Hsueh Pao/Journal of the Chinese Ceramic Society, 2023, 51 (02): : 499 - 509
  • [22] Additive manufacturing of thermoelectric materials via fused filament fabrication
    Oztan, Cagri
    Ballikaya, Sedat
    Ozgun, Umit
    Karkkainen, Ryan
    Celik, Emrah
    APPLIED MATERIALS TODAY, 2019, 15 : 77 - 82
  • [23] A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing
    Germán O. Barrionuevo
    Pedro M. Sequeira-Almeida
    Sergio Ríos
    Jorge A. Ramos-Grez
    Stewart W. Williams
    The International Journal of Advanced Manufacturing Technology, 2022, 120 : 3123 - 3133
  • [24] A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing
    Barrionuevo, German O.
    Sequeira-Almeida, Pedro M.
    Rios, Sergio
    Ramos-Grez, Jorge A.
    Williams, Stewart W.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 120 (5-6): : 3123 - 3133
  • [25] Machine Learning Approach for the Prediction of Defect Characteristics in Wire Arc Additive Manufacturing
    Muralimohan Cheepu
    Transactions of the Indian Institute of Metals, 2023, 76 : 447 - 455
  • [26] Machine Learning Approach for the Prediction of Defect Characteristics in Wire Arc Additive Manufacturing
    Cheepu, Muralimohan
    TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2023, 76 (02) : 447 - 455
  • [27] A survey of machine learning in additive manufacturing technologies
    Jiang, Jingchao
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2023, 36 (09) : 1258 - 1280
  • [28] A REVIEW OF MACHINE LEARNING APPLICATIONS IN ADDITIVE MANUFACTURING
    Razvi, Sayyeda Saadia
    Feng, Shaw
    Narayanan, Anantha
    Lee, Yung-Tsun Tina
    Witherell, Paul
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 1, 2020,
  • [29] Machine learning integrated design for additive manufacturing
    Jingchao Jiang
    Yi Xiong
    Zhiyuan Zhang
    David W. Rosen
    Journal of Intelligent Manufacturing, 2022, 33 : 1073 - 1086
  • [30] Incorporation of machine learning in additive manufacturing: a review
    Ali Raza
    Kashif Mairaj Deen
    Russlan Jaafreh
    Kotiba Hamad
    Ali Haider
    Waseem Haider
    The International Journal of Advanced Manufacturing Technology, 2022, 122 : 1143 - 1166
12345