Distortion Prediction

Distortion Prediction is a computational modeling approach within the field of powder bed fusion additive manufacturing that forecasts the magnitude and spatial distribution of residual stresses and geometric deviations in fabricated components prior to production.

279

Publications

13.1K

Citations

1K

Authors

362

Institutions

Publications per year

2017–2026

147

Authors

1K

  1. QH
    Qiang Huang

    University of Southern California, United States

    6 publications · 137 citations

    6

    h-index

  2. YB
    Y. B. Guo

    University of Alabama, United States

    6 publications · 760 citations

    6

    h-index

  3. JW
    Jiangchao Wang

    Huazhong University of Science and Technology, China

    5 publications · 232 citations

    5

    h-index

  4. CL
    C. Li

    University of Alabama, United States

    5 publications · 704 citations

    5

    h-index

  5. HM
    Hidekazu Murakawa

    The University of Osaka, Japan

    5 publications · 209 citations

    5

    h-index

1–5 of 1K

Venues

  1. Additive manufacturing

    18 publications · 2K citations

    17

    h-index

  2. 14

    h-index

  3. Procedia CIRP

    13 publications · 346 citations

    12

    h-index

  4. 9

    h-index

  5. Journal of Manufacturing Processes

    JMP · 6 publications · 241 citations

    6

    h-index

1–5