Concepedia

Machine Learning-based Orientation Optimization

Machine Learning-Based Orientation Optimization is a computational methodology within the field of build orientation that employs machine learning algorithms to autonomously determine optimal part orientations in additive manufacturing by learning from historical build data, geometric features, and performance outcomes, thereby distinguishing itself from rule-based or heuristic approaches through data-driven generalization and adaptive decision-making.

13

Publications

808

Citations

44

Authors

23

Institutions

Publications per year

2017–2026

9

Parents

Publications

13

Simple tools for fiber orientation prediction in industrial practice

Laëtitia Martinie, Nicolas Roussel · Cement and Concrete Research · 2011 · 230 citations

, , +11

Smart additive manufacturing: Current artificial intelligence-enabled methods and future perspectives

Yuanbin Wang, Pai Zheng, Tao Peng et al. · Science China Technological Sciences · 2020 · 99 citations

, , +16

A Generic Part Orientation System Based on Volumetric Error in Rapid Prototyping

Syed H. Masood, Wanchai Rattanawong · The International Journal of Advanced Manufacturing Technology · 2002 · 67 citations

, , +15

Application of Artificial Neural Networks to predict fibre orientation in long fibre compression moulded composite materials

Trevor Sabiston, Kaan Inal, Pearl Lee‐Sullivan · Composites Science and Technology · 2020 · 62 citations

, , +16

A statistical method for build orientation determination in additive manufacturing

Yicha Zhang, Ramy Harik, Georges Fadel et al. · Rapid Prototyping Journal · 2018 · 61 citations

, , +16

1–5 of 13

Authors

44

  1. PA
    Pankaj Agarwal

    Malaviya National Institute of Technology Jaipur, India

    1 publications · 54 citations

    1

    h-index

  2. YW
    Yuanbin Wang

    Zhejiang University, China

    1 publications · 99 citations

    1

    h-index

  3. RH
    Ramy Harik

    University of South Carolina, United States

    1 publications · 61 citations

    1

    h-index

  4. JZ
    Jun Zou

    Zhejiang University, China

    1 publications · 99 citations

    1

    h-index

  5. DK
    Dong-Ook Kim

    Drexel University, United States

    2 publications · 46 citations

    1

    h-index

1–5 of 44

Institutions

23

  1. National Institute of Technology Srinagar

    Srinagar, India

    1 h-index

    1 publications

    54 citations

  2. Laboratoire des Sciences du Numérique de Nantes

    Nantes, France

    1 h-index

    1 publications

    61 citations

  3. Freeport-McMoRan (United States)

    Phoenix, United States

    1 h-index

    5 publications

    295 citations

  4. Zhejiang University

    Hangzhou, China

    1 h-index

    4 publications

    396 citations

  5. Swinburne University of Technology

    Melbourne, Australia

    1 h-index

    2 publications

    134 citations

  6. University of South Carolina

    Columbia, United States

    1 h-index

    1 publications

    61 citations

  7. Changwon National University

    Changwon, South Korea

    1 h-index

    5 publications

    115 citations

  8. University of Minho

    Braga, Portugal

    1 h-index

    2 publications

    86 citations

1–8 of 23

Venues

  1. Materials Today Proceedings

    2 publications · 82 citations

    2

    h-index

  2. 2

    h-index

  3. Cement and Concrete Research

    1 publications · 230 citations

    1

    h-index

  4. Heliyon

    1 publications · 23 citations

    1

    h-index

  5. Rapid Prototyping Journal

    1 publications · 61 citations

    1

    h-index

1–5