Name
Abstract | ||
|---|---|---|
Additive manufacturing (AM) is a process to produce three-dimensional parts with complex and free-form geometries layer by layer from computer-aided-design models. However, real-time quality control is the main challenge that hampers the wide adoption of AM. Advancements in sensing systems facilitate AM monitoring and control. Realizing full potentials of sensing data for AM quality control depend... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2018.2839973 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Monitoring,Process control,Sensors,Cameras,Optimal control,Solid modeling | Sensing system,Monitoring and control,Optimal control,Sensing data,Markov decision process,Control engineering,Process dynamics,Process control,Solid modeling,Engineering | Journal |
Volume | Issue | ISSN |
3 | 4 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bing Yao | 1 | 0 | 3.72 |
| Farhad Imani | 2 | 9 | 3.44 |
| Hui Yang | 3 | 21 | 10.77 |