Additive Manufacturing Shape Optimization

Additive Manufacturing Shape Optimization is a computational design methodology that determines the optimal material distribution and geometric configuration of a part to maximize structural performance and functionality while inherently accounting for the layer-by-layer fabrication constraints and opportunities unique to additive manufacturing processes.

258

Publications

18.4K

Citations

940

Authors

359

Institutions

Publications per year

2017–2026

221

Authors

940

  1. WZ
    Weihong Zhang

    Northwestern Polytechnical University, China

    7 publications · 734 citations

    7

    h-index

  2. DW
    David W. Rosen

    Georgia Institute of Technology, United States

    6 publications · 468 citations

    6

    h-index

  3. JZ
    Jihong Zhu

    Northwestern Polytechnical University, China

    5 publications · 573 citations

    5

    h-index

  4. OS
    Ole Sigmund

    Technical University of Denmark, Denmark

    5 publications · 1K citations

    5

    h-index

  5. JL
    Jikai Liu

    Shandong University, China

    5 publications · 365 citations

    5

    h-index

1–5 of 940

Venues

  1. Additive manufacturing

    22 publications · 2.1K citations

    20

    h-index

  2. Structural and Multidisciplinary Optimization

    13 publications · 864 citations

    13

    h-index

  3. 13

    h-index

  4. 8

    h-index

  5. Progress in Additive Manufacturing

    7 publications · 406 citations

    7

    h-index

1–5