Adaptive Toolpaths

Adaptive Toolpaths is a computational toolpath planning methodology that dynamically modifies cutting parameters and path geometry in response to real-time machining conditions and material constraints, distinguishing itself from static toolpath approaches through its feedback-driven, context-sensitive optimization.

34

Publications

1.2K

Citations

108

Authors

42

Institutions

Publications per year

2017–2026

15

Authors

108

  1. ZH
    Z. Han

    University of California, Los Angeles, United States

    2 publications · 213 citations

    2

    h-index

  2. MD
    Mandeep Dhanda

    Indian Institute of Technology Bombay, India

    2 publications · 25 citations

    2

    h-index

  3. MA
    M. A. Mannan

    National University of Singapore, Singapore

    2 publications · 213 citations

    2

    h-index

  4. DC
    Daniel C. H. Yang

    University of California, Los Angeles, United States

    2 publications · 213 citations

    2

    h-index

  5. ZL
    Zhaoyu Li

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 59 citations

    2

    h-index

1–5 of 108

Venues

  1. 5

    h-index

  2. Computer-Aided Design

    3 publications · 208 citations

    3

    h-index

  3. International Journal of Production Research

    3 publications · 98 citations

    3

    h-index

  4. Journal of Intelligent Manufacturing

    2 publications · 82 citations

    2

    h-index

  5. 2

    h-index

1–5