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Keywords: random forest
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Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Manuf. Sci. Eng. May 2021, 143(5): 054501.
Paper No: MANU-20-1137
Published Online: November 11, 2020
... the machine learning models, random forest method gave a better prediction accuracy of 88.5%. The model was further improved by incorporating the initial cutting edge radius as an additional feature, and the variance in the prediction was seen to drop by 48.76%. Email: alwin_varghese@iitb.ac.in Email...
Journal Articles
Zimo Wang, Faissal Chegdani, Neehar Yalamarti, Behrouz Takabi, Bruce Tai, Mohamed El Mansori, Satish Bukkapatnam
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2020, 142(3): 031003.
Paper No: MANU-19-1219
Published Online: January 31, 2020
... samples with various fiber orientations were conducted. The experimental setup was instrumented with a multisensor data acquisition system for synchronous collection of AE and vibration signals during NFRP cutting. A random forest machine learning approach was employed to quantitatively relate the AE...
Topics:
Acoustic emissions,
Composite materials,
Cutting,
Fibers,
Fracture (Materials),
Machining,
Signals,
Fracture (Process),
Sensors,
Fiber reinforced plastics
Includes: Supplementary data