Adaptive Toolpath Generation
Adaptive Toolpath Generation is a toolpath generation methodology that dynamically adjusts cutting parameters and path geometry in real time based on sensor feedback or process conditions to optimize machining performance, distinguishing itself from conventional methods by its responsiveness to in-process variations.
44
Publications
1.5K
Citations
126
Authors
59
Institutions
Publications per year
2017–2026
13
Parents
44
1–5 of 44
126
2
h-index
2
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 59 citations
2
h-index
2
h-index
2
h-index
1–5 of 126
59
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
13 publications
249 citations
National University of Singapore
Singapore, Singapore
3 h-index
11 publications
1.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
5 publications
152 citations

Beihang University
Beijing, China
2 h-index
7 publications
111 citations
Dalian University of Technology
Dalian, China
2 h-index
6 publications
147 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
426 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
3 publications
39 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
3 publications
185 citations
1–8 of 59
10 publications · 420 citations
10
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4 publications · 155 citations
4
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3 publications · 208 citations
3
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2 publications · 45 citations
2
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JMP · 2 publications · 51 citations
2
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1–5